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References:

Wang, J-Ye.; Yao, W-Xuan.; Wang, Y.; Fan, Y-Lei.; Wu, J-Bing. 2017: Network analysis reveals crosstalk between autophagy genes and disease genes. Scientific Reports 7: 44391
Rakhsh-Khorshid, H.; Samimi, H.; Torabi, S.; Sajjadi-Jazi, S.Mahmoud.; Samadi, H.; Ghafouri, F.; Asgari, Y.; Haghpanah, V. 2020: Network analysis reveals essential proteins that regulate sodium-iodide symporter expression in anaplastic thyroid carcinoma. Scientific Reports 10(1): 21440
Zhang, Y.; Fan, H.; Xu, J.; Xiao, Y.; Xu, Y.; Li, Y.; Li, X. 2013: Network analysis reveals functional cross-links between disease and inflammation genes. Scientific Reports 3: 3426
Westerlund, A.M.; Fleetwood, O.; Pérez-Conesa, S.; Delemotte, L. 2020: Network analysis reveals how lipids and other cofactors influence membrane protein allostery. Journal of Chemical Physics 153(14): 141103
Strona, G.; Carstens, C.Jacobien.; Beck, P.S.A. 2017: Network analysis reveals why Xylella fastidiosa will persist in Europe. Scientific Reports 7(1): 71
Fatoki, T.Hezekiah.; Ibraheem, O.; Ogunyemi, I.Oladejo.; Akinmoladun, A.Clement.; Ugboko, H.U.; Adeseko, C.Joke.; Awofisayo, O.A.; Olusegun, S.Joseph.; Enibukun, J.Mercy. 2020: Network analysis, sequence and structure dynamics of key proteins of coronavirus and human host, and molecular docking of selected phytochemicals of nine medicinal plants. Journal of Biomolecular Structure and Dynamics 2020: 1-23
Simon de Blas, C.; Gomez Gonzalez, D.; Criado Herrero, R. 2021: Network analysis: An indispensable tool for curricula design. a real case-study of the degree on mathematics at the URJC in Spain. Plos one 16(3): E0248208
Hevey, D. 2018: Network analysis: a brief overview and tutorial. Health Psychology and Behavioral Medicine 6(1): 301-328
Kunz, S.N.; Zupancic, J.A.F.; Rigdon, J.; Phibbs, C.S.; Lee, H.C.; Gould, J.B.; Leskovec, J.; Profit, J. 2017: Network analysis: a novel method for mapping neonatal acute transport patterns in California. Journal of Perinatology: Official Journal of the California Perinatal Association 37(6): 702-708
Bock, D.D.; Lee, W-Chung.Allen.; Kerlin, A.M.; Andermann, M.L.; Hood, G.; Wetzel, A.W.; Yurgenson, S.; Soucy, E.R.; Kim, H.Suk.; Reid, R.Clay. 2011: Network anatomy and in vivo physiology of visual cortical neurons. Nature 471(7337): 177-182
Liu, T.-H.; Chen, M.-H.; Tu, W.-Q.; Liang, Q.-E.; Tao, W.-C.; Jin, Z.; Xiao, Y.; Chen, L.-G. 2021: Network and 16S rRNA Sequencing-Combined Approach Provides Insightal Evidence of Vitamin K2 for Salt-Sensitive Hypertension. Frontiers in Nutrition 8: 639467
Li, Y.; Wang, Z.-C.; Zhu, M.-X.; Fan, G.-B.; Xu, G.-S.; Zhao, T.-Y.; Zhao, A.-Y.; Ning, S.-W.; Qi, S.-H. 2020: Network and Pathway-Based Integrated Analysis Identified a Novel "rs28457673-miR-15/16/195/424/497 Family-IGF1R-MAPK Signaling Pathway" Axis Associated with Post-stroke Depression. Frontiers in Cell and Developmental Biology 8: 622424
Gillig, T.K.; Bighash, L. 2021: Network and Proximity Effects on LGBTQ Youth's Psychological Outcomes during a Camp Intervention. Health Communication 2021: 1-7
Banerjee, P.; Balraj, P.; Ambhore, N.Sudhakar.; Wicher, S.A.; Britt, R.D.; Pabelick, C.M.; Prakash, Y.S.; Sathish, V. 2021: Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma. Scientific Reports 11(1): 14386
Singh, P. 2020: Network and pathway enrichment analysis of Attention Deficit/Hyperactivity Disorder candidate genes. Indian Journal of Psychiatry 62(4): 400-406
Chen, L.; Zhang, X.; Wang, W.; Geng, X.; Shi, Y.; Na, R.; Dou, D.; Li, H. 2017: Network and role analysis of autophagy in Phytophthora sojae. Scientific Reports 7(1): 1879
Średniawa, Władysław.; Wróbel, J.; Kublik, E.; Wójcik, D.Krzysztof.; Whittington, M.Adrian.; Hunt, M.Jeremy. 2021: Network and synaptic mechanisms underlying high frequency oscillations in the rat and cat olfactory bulb under ketamine-xylazine anesthesia. Scientific Reports 11(1): 6390
Drukker, M.; Peters, J.C.H.; Vork, L.; Mujagic, Z.; Rutten, B.P.F.; van Os, J.; Masclee, A.A.M.; Kruimel, J.W.; Leue, C. 2020: Network approach of mood and functional gastrointestinal symptom dynamics in relation to childhood trauma in patients with irritable bowel syndrome and comorbid panic disorder. Journal of Psychosomatic Research 139: 110261
Yoon, H.Jung.; Lee, S.; Park, S.Joo.; Wu, S. 2018: Network approach of the conformational change of c-Src, a tyrosine kinase, by molecular dynamics simulation. Scientific Reports 8(1): 5673
Tao, W.; Conte, M.A.; Wang, D.; Kocher, T.D. 2021: Network architecture and sex chromosome turnovers: do epistatic interactions shape patterns of sex chromosome replacement?. Bioessays: News and Reviews in Molecular Cellular and Developmental Biology 43(3): E2000161
Zabaniotou, A.; Boukamel, Oïma.; Tsirogianni, A. 2021: Network assessment: Design of a framework and indicators for monitoring and self-assessment of a customized gender equality plan in the Mediterranean Engineering Education context. Evaluation and Program Planning 87: 101932
Guyon, N.; Zacharias, L.R.; Fermino de Oliveira, E.; Kim, H.; Leite, J.ão.P.; Lopes-Aguiar, C.; Carlén, M. 2021: Network Asynchrony Underlying Increased Broadband Gamma Power. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 41(13): 2944-2963
Gould, P.D.; Ugarte, N.; Domijan, M.; Costa, M.; Foreman, J.; Macgregor, D.; Rose, K.; Griffiths, J.; Millar, A.J.; Finkenstädt, Bärbel.; Penfield, S.; Rand, D.A.; Halliday, K.J.; Hall, A.J.W. 2013: Network balance via CRY signalling controls the Arabidopsis circadian clock over ambient temperatures. Molecular Systems Biology 9: 650
Wu, B.; Li, C.; Du, Z.; Yao, Q.; Wu, J.; Feng, L.; Zhang, P.; Li, S.; Xu, L.; Li, E. 2014: Network based analyses of gene expression profile of LCN2 overexpression in esophageal squamous cell carcinoma. Scientific Reports 4: 5403
Mohammadnejad, A.; Li, S.; Duan, H.; Tan, Q. 2020: Network based analysis of microarray gene expression profiles in response to electroacupuncture. Journal of Traditional and Complementary Medicine 10(5): 471-477
Ari Yuka, S.; Yilmaz, A. 2021: Network based multifactorial modelling of miRNA-target interactions. Peerj 9: E11121
Li, X.; Yu, J.; Zhang, Z.; Ren, J.; Peluffo, A.E.; Zhang, W.; Zhao, Y.; Wu, J.; Yan, K.; Cohen, D.; Wang, W. 2021: Network bioinformatics analysis provides insight into drug repurposing for COVID-19. Medicine in Drug Discovery 10: 100090
Ravichandran, J.; Karthikeyan, B.S.; Aparna, S.R.; Samal, A. 2021: Network biology approach to human tissue-specific chemical exposome. Journal of Steroid Biochemistry and Molecular Biology 214: 105998
Hu, J.Xin.; Thomas, C.Engel.; Brunak, Søren. 2016: Network biology concepts in complex disease comorbidities. Nature Reviews. Genetics 17(10): 615-629
Yu, Y-Hua.; Chiou, G-Yuh.; Huang, P-I.; Lo, W-Liang.; Wang, C-Ying.; Lu, K-Hsi.; Yu, C-Chia.; Alterovitz, G.; Huang, W-Chien.; Lo, J-Fan.; Hsu, H-Shui.; Chiou, S-Hwa. 2012: Network biology of tumor stem-like cells identified a regulatory role of CBX5 in lung cancer. Scientific Reports 2: 584
Müller, F-Josef.; Loring, J.F. 2014: Network biology: A compass for stem-cell differentiation. Nature 513(7519): 498-499
Barabási, A-László.; Oltvai, Zán.N. 2004: Network biology: understanding the cell's functional organization. Nature Reviews. Genetics 5(2): 101-113
Schiermeier, Q. 2001: Network boost for southeast Europe. Nature 410(6829): 619
Moon, H.; Lu, T-Ching. 2015: Network catastrophe: self-organized patterns reveal both the instability and the structure of complex networks. Scientific Reports 5: 9450
Duboscq, J.; Romano, V.; Sueur, Cédric.; MacIntosh, A.J.J. 2016: Network centrality and seasonality interact to predict lice load in a social primate. Scientific Reports 6: 22095
Grubb, J.; Lopez, D.; Mohan, B.; Matta, J. 2021: Network centrality for the identification of biomarkers in respondent-driven sampling datasets. Plos one 16(8): E0256601
Mancho-Fora, N.úr.; Montalà-Flaquer, M.; Farràs-Permanyer, L.; Zarabozo-Hurtado, D.; Gallardo-Moreno, G.B.; Gudayol-Farré, E.; Peró-Cebollero, M.; Guàrdia-Olmos, J. 2020: Network change point detection in resting-state functional connectivity dynamics of mild cognitive impairment patients. International Journal of Clinical and Health Psychology: Ijchp 20(3): 200-212
Yang, Z.; Gu, S.; Honnorat, N.; Linn, K.A.; Shinohara, R.T.; Aselcioglu, I.; Bruce, S.; Oathes, D.J.; Davatzikos, C.; Satterthwaite, T.D.; Bassett, D.S.; Sheline, Y.I. 2018: Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD. Molecular Psychiatry 23(12): 2314-2323
Lee, D.A.; Kim, B.J.; Lee, H.-J.; Kim, S.E.; Park, K.M. 2020: Network characteristics of genetic generalized epilepsy: Are the syndromes distinct?. Seizure 82: 91-98
Cerina, F.; Chessa, A.; Pammolli, F.; Riccaboni, M. 2014: Network communities within and across borders. Scientific Reports 4: 4546
Orr, L.; Chapman, S.C.; Gjerloev, J.W.; Guo, W. 2021: Network community structure of substorms using SuperMAG magnetometers. Nature Communications 12(1): 1842
Hartle, H.; Klein, B.; McCabe, S.; Daniels, A.; St-Onge, G.; Murphy, C.; Hébert-Dufresne, L. 2020: Network comparison and the within-ensemble graph distance. PROCEEDINGS. Mathematical Physical and Engineering Sciences 476(2243): 20190744
Yau, Y.; Zeighami, Y.; Baker, T.E.; Larcher, K.; Vainik, U.; Dadar, M.; Fonov, V.S.; Hagmann, P.; Griffa, A.; Mišić, B.; Collins, D.L.; Dagher, A. 2018: Network connectivity determines cortical thinning in early Parkinson's disease progression. Nature Communications 9(1): 12
Tomasi, D.; Volkow, N.D. 2020: Network connectivity predicts language processing in healthy adults. Human Brain Mapping 41(13): 3696-3708
Kahn, A.E.; Karuza, E.A.; Vettel, J.M.; Bassett, D.S. 2018: Network constraints on learnability of probabilistic motor sequences. Nature Human Behaviour 2(12): 936-947
Tang, J.; Gao, H.; Liu, Y.; Song, J.; Feng, Y.; Wang, G.; He, Y. 2020: Network construction of aberrantly expressed mi RNAs and their target mRNAs in ventricular myocardium with ischemia-reperfusion arrhythmias. Journal of Cardiothoracic Surgery 15(1): 216
Park, C.Hyuk.; Lee, J.Gon.; Lee, A-Reum.; Eun, C.Soo.; Han, D.Soo. 2019: Network construction of gastric microbiome and organization of microbial modules associated with gastric carcinogenesis. Scientific Reports 9(1): 12444
Yan, G.; Vértes, P.E.; Towlson, E.K.; Chew, Y.Lian.; Walker, D.S.; Schafer, W.R.; Barabási, A-László. 2017: Network control principles predict neuron function in the Caenorhabditis elegans connectome. Nature 550(7677): 519-523
Herstel, L.J.; Wierenga, C.J. 2021: Network control through coordinated inhibition. Current Opinion in Neurobiology 67: 34-41
Ravindran, V.; Nacher, J.C.; Akutsu, T.; Ishitsuka, M.; Osadcenco, A.; Sunitha, V.; Bagler, G.; Schwartz, J-Marc.; Robertson, D.L. 2019: Network controllability analysis of intracellular signalling reveals viruses are actively controlling molecular systems. Scientific Reports 9(1): 2066
Farooq, H.; Chen, Y.; Georgiou, T.T.; Tannenbaum, A.; Lenglet, C. 2019: Network curvature as a hallmark of brain structural connectivity. Nature Communications 10(1): 4937
Feizi, S.; Marbach, D.; Médard, M.; Kellis, M. 2013: Network deconvolution as a general method to distinguish direct dependencies in networks. Nature Biotechnology 31(8): 726-733
Blazquez, C.; Paredes-Belmar, G.án. 2020: Network design of a household waste collection system: a case study of the commune of Renca in Santiago, Chile. Waste Management 116: 179-189
Song, E.; Wang, R-Sheng.; Leopold, J.A.; Loscalzo, J. 2020: Network determinants of cardiovascular calcification and repositioned drug treatments. Faseb Journal: Official Publication of the Federation of American Societies for Experimental Biology 34(8): 11087-11100
Xu, Q.; Guo, Q.; Wang, C.-X.; Zhang, S.; Wen, C.-B.; Sun, T.; Peng, W.; Chen, J.; Li, W.-H. 2021: Network differentiation: a computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science. Artificial Intelligence in Medicine 118: 102134
Janyasupab, P.; Suratanee, A.; Plaimas, K. 2021: Network diffusion with centrality measures to identify disease-related genes. Mathematical Biosciences and Engineering: Mbe 18(3): 2909-2929
Bersanelli, M.; Mosca, E.; Remondini, D.; Castellani, G.; Milanesi, L. 2016: Network diffusion-based analysis of high-throughput data for the detection of differentially enriched modules. Scientific Reports 6: 34841
Tyson, J.J.; Chen, K.; Novak, B. 2001: Network dynamics and cell physiology. Nature Reviews. Molecular Cell Biology 2(12): 908-916
Baeza, G.P.; Dessi, C.; Costanzo, S.; Zhao, D.; Gong, S.; Alegria, A.; Colby, R.H.; Rubinstein, M.; Vlassopoulos, D.; Kumar, S.K. 2016: Network dynamics in nanofilled polymers. Nature Communications 7: 11368
Frega, M.; Tedesco, M.; Massobrio, P.; Pesce, M.; Martinoia, S. 2014: Network dynamics of 3D engineered neuronal cultures: a new experimental model for in-vitro electrophysiology. Scientific Reports 4: 5489
Kuranova, A.; Wigman, J.T.W.; Menne-Lothmann, C.; Decoster, J.; van Winkel, R.; Delespaul, P.; Drukker, M.; de Hert, M.; Derom, C.; Thiery, E.; Rutten, B.P.F.; Jacobs, N.; van Os, J.; Oldehinkel, A.J.; Booij, S.H.; Wichers, M. 2021: Network dynamics of momentary affect states and future course of psychopathology in adolescents. Plos one 16(3): E0247458
Bertram, R.; Hyson, R.L.; Brunick, A.J.; Flores, D.; Johnson, F. 2020: Network dynamics underlie learning and performance of birdsong. Current Opinion in Neurobiology 64: 119-126
Toroczkai, Zán.; Bassler, K.E. 2004: Network dynamics: jamming is limited in scale-free systems. Nature 428(6984): 716
Sharp, D.J.; Scott, G.; Leech, R. 2014: Network dysfunction after traumatic brain injury. Nature Reviews. Neurology 10(3): 156-166
Fortin, M.-J.ée.; Dale, M.R.T.; Brimacombe, C. 2021: Network ecology in dynamic landscapes. PROCEEDINGS. Biological Sciences 288(1949): 20201889
Kosowska-Stamirowska, Z. 2020: Network effects govern the evolution of maritime trade. Proceedings of the National Academy of Sciences of the United States of America 117(23): 12719-12728
Broere, J.; Buskens, V.; Weesie, J.; Stoof, H. 2017: Network effects on coordination in asymmetric games. Scientific Reports 7(1): 17016
Wang, B.; Pourshafeie, A.; Zitnik, M.; Zhu, J.; Bustamante, C.D.; Batzoglou, S.; Leskovec, J. 2018: Network enhancement as a general method to denoise weighted biological networks. Nature Communications 9(1): 3108
Wasmer 1947: Network erythema of the livedo type and diffuse stomatitis after an arseno-bismutic cure. Annales de Dermatologie et de Syphiligraphie 7(4): 141
Baptista, D.; Leite, D.; Facca, E.; Putti, M.; De Bacco, C. 2020: Network extraction by routing optimization. Scientific Reports 10(1): 20806
Cui, X.; He, H.; He, F.; Wang, S.; Li, F.; Bo, X. 2015: Network fingerprint: a knowledge-based characterization of biomedical networks. Scientific Reports 5: 13286
Von Stülpnagel, C.; van Baalen, A.; Borggraefe, I.; Eschermann, K.; Hartlieb, T.; Kiwull, L.; Pringsheim, M.; Wolff, M.; Kudernatsch, M.; Wiegand, G.; Striano, P.; Kluger, G. 2020: Network for Therapy in Rare Epilepsies (NETRE): Lessons from the past 15 Years. Frontiers in Neurology 11: 622510
Chen, H.X.; Song, M.; Maecker, H.T.; Gnjatic, S.; Patton, D.; Lee, J.J.; Adam, S.J.; Moravec, R.; Liu, X.S.; Cerami, E.; Lindsay, J.; Tang, M.; Hodi, F.S.; Wu, C.J.; Wistuba, I.I.; Al-Atrash, G.; Bernatchez, C.; Bendall, S.C.; Hewitt, S.M.; Sharon, E.; Streicher, H.; Enos, R.A.; Bowman, M.D.; Tatard-Leitman, V.M.; Sanchez-Espiridion, B.; Ranasinghe, S.; Pichavant, M.; Del Valle, D.M.; Yu, J.; Janssens, S.; Peterson-Klaus, J.; Rowe, C.; Bongers, G.; Jenq, R.R.; Chang, C.-C.; Abrams, J.S.; Mooney, M.; Doroshow, J.H.; Harris, L.N.; Thurin, M. 2021: Network for Biomarker Immunoprofiling for Cancer Immunotherapy: Cancer Immune Monitoring and Analysis Centers and Cancer Immunologic Data Commons (CIMAC-CIDC). Clinical Cancer Research: An Official Journal of the American Association for Cancer Research 27(18): 5038-5048
Ibba, F.C.; Pilet, L.; Genecand, C.; Schaller, P.; Royannez, I.; Haller, G. 2020: Network for disabled adults in Geneva. Revue Medicale Suisse 16(708): 1807-1810
Samal, A.; Pharasi, H.K.; Ramaia, S.J.; Kannan, H.; Saucan, E.; Jost, J.ür.; Chakraborti, A. 2021: Network geometry and market instability. Royal Society Open Science 8(2): 201734
Romiti, A.; Del Vecchio, M.; Sartor, G. 2020: Network governance forms in healthcare: empirical evidence from two Italian cancer networks. Bmc Health Services Research 20(1): 1018
Etemadi, M.; Kenis, P.; Ashtarian, K.; Abolghasem Gorji, H.; Mohammadi Kangarani, H. 2021: Network governance theory as basic pattern for promoting financial support system of the poor in Iranian health system. Bmc Health Services Research 21(1): 556
Bell, M.; Perera, S.; Piraveenan, M.; Bliemer, M.; Latty, T.; Reid, C. 2017: Network growth models: A behavioural basis for attachment proportional to fitness. Scientific Reports 7: 42431
Boujemaa-Paterski, R.; Suarez, C.; Klar, T.; Zhu, J.; Guérin, C.; Mogilner, A.; Théry, M.; Blanchoin, L. 2017: Network heterogeneity regulates steering in actin-based motility. Nature Communications 8(1): 655
Lewis, J.D.; Evans, A.C.; Pruett, J.R.; Botteron, K.; Zwaigenbaum, L.; Estes, A.; Gerig, G.; Collins, L.; Kostopoulos, P.; McKinstry, R.; Dager, S.; Paterson, S.; Schultz, R.T.; Styner, M.; Hazlett, H.; Piven, J. 2014: Network inefficiencies in autism spectrum disorder at 24 months. Translational Psychiatry 4: E388
Benedetti, E.; Pučić-Baković, M.; Keser, T.; Wahl, A.; Hassinen, A.; Yang, J-Yeh.; Liu, L.; Trbojević-Akmačić, I.; Razdorov, G.; Štambuk, J.; Klarić, L.; Ugrina, I.; Selman, M.H.J.; Wuhrer, M.; Rudan, I.; Polasek, O.; Hayward, C.; Grallert, H.; Strauch, K.; Peters, A.; Meitinger, T.; Gieger, C.; Vilaj, M.; Boons, G-Jan.; Moremen, K.W.; Ovchinnikova, T.; Bovin, N.; Kellokumpu, S.; Theis, F.J.; Lauc, G.; Krumsiek, J. 2017: Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway. Nature Communications 8(1): 1483
Di Lauro, F.; Croix, J-C.; Dashti, M.; Berthouze, L.; Kiss, I.Z. 2020: Network inference from population-level observation of epidemics. Scientific Reports 10(1): 18779
Selevsek, N.; Caiment, F.; Nudischer, R.; Gmuender, H.; Agarkova, I.; Atkinson, F.L.; Bachmann, I.; Baier, V.; Barel, G.; Bauer, C.; Boerno, S.; Bosc, N.; Clayton, O.; Cordes, H.; Deeb, S.; Gotta, S.; Guye, P.; Hersey, A.; Hunter, F.M.I.; Kunz, L.; Lewalle, A.; Lienhard, M.; Merken, J.; Minguet, J.; Oliveira, B.; Pluess, C.; Sarkans, U.; Schrooders, Y.; Schuchhardt, J.; Smit, I.; Thiel, C.; Timmermann, B.; Verheijen, M.; Wittenberger, T.; Wolski, W.; Zerck, A.; Heymans, S.; Kuepfer, L.; Roth, A.; Schlapbach, R.; Niederer, S.; Herwig, R.; Klei 2020: Network integration and modelling of dynamic drug responses at multi-omics levels. Communications Biology 3(1): 573
do Valle, Ítalo.Faria.; Menichetti, G.; Simonetti, G.; Bruno, S.; Zironi, I.; Durso, D.Fernandes.; Mombach, Jé.C.M.; Martinelli, G.; Castellani, G.; Remondini, D. 2018: Network integration of multi-tumour omics data suggests novel targeting strategies. Nature Communications 9(1): 4514
Nishi, A.; Dewey, G.; Endo, A.; Neman, S.; Iwamoto, S.K.; Ni, M.Y.; Tsugawa, Y.; Iosifidis, G.; Smith, J.D.; Young, S.D. 2020: Network interventions for managing the COVID-19 pandemic and sustaining economy. Proceedings of the National Academy of Sciences of the United States of America 117(48): 30285-30294
Kaiser, F.; Latora, V.; Witthaut, D. 2021: Network isolators inhibit failure spreading in complex networks. Nature Communications 12(1): 3143
Huang, Y.-A.; Dupont, P.; Van de Vliet, L.; Jastorff, J.; Peeters, R.; Theys, T.; van Loon, J.; Van Paesschen, W.; Van den Stock, J.; Vandenbulcke, M. 2020: Network level characteristics in the emotion recognition network after unilateral temporal lobe surgery. European Journal of Neuroscience 52(5): 3470-3484
Barzel, B.; Barabási, A-László. 2013: Network link prediction by global silencing of indirect correlations. Nature Biotechnology 31(8): 720-725
Laponogov, I.; Gonzalez, G.; Shepherd, M.; Qureshi, A.; Veselkov, D.; Charkoftaki, G.; Vasiliou, V.; Youssef, J.; Mirnezami, R.; Bronstein, M.; Veselkov, K. 2021: Network machine learning maps phytochemically rich "Hyperfoods" to fight COVID-19. Human Genomics 15(1): 1
He, X.; Zhang, Q.; Li, B.; Jin, Y.; Jiang, L.; Wu, R. 2021: Network mapping of root-microbe interactions in Arabidopsis thaliana. Npj Biofilms and Microbiomes 7(1): 72
Menichetti, G.; Fariselli, P.; Remondini, D. 2016: Network measures for protein folding state discrimination. Scientific Reports 6: 30367
Pyzza, P.B.; Newhall, K.A.; Kovačič, G.; Zhou, D.; Cai, D. 2021: Network mechanism for insect olfaction. Cognitive Neurodynamics 15(1): 103-129
Losonczy, A.; Zemelman, B.V.; Vaziri, A.; Magee, J.C. 2010: Network mechanisms of theta related neuronal activity in hippocampal CA1 pyramidal neurons. Nature Neuroscience 13(8): 967-972
Freeze, B.; Maia, P.; Pandya, S.; Raj, A. 2020: Network mediation of pathology pattern in sporadic Creutzfeldt-Jakob disease. Brain Communications 2(1): Fcaa 060
Chen, B.; Butte, A.J. 2013: Network medicine in disease analysis and therapeutics. Clinical Pharmacology and Therapeutics 94(6): 627-629
Zhou, Y.; Xu, J.; Hou, Y.; Leverenz, J.B.; Kallianpur, A.; Mehra, R.; Liu, Y.; Yu, H.; Pieper, A.A.; Jehi, L.; Cheng, F. 2021: Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment. Biorxiv: the Preprint Server for Biology 2021
Zhou, Y.; Xu, J.; Hou, Y.; Leverenz, J.B.; Kallianpur, A.; Mehra, R.; Liu, Y.; Yu, H.; Pieper, A.A.; Jehi, L.; Cheng, F. 2021: Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment. Alzheimer's Research and Therapy 13(1): 110
Barabási, A-László.; Gulbahce, N.; Loscalzo, J. 2011: Network medicine: a network-based approach to human disease. Nature Reviews. Genetics 12(1): 56-68
Chen, J.Y.; Piquette-Miller, M.; Smith, B.P. 2013: Network medicine: finding the links to personalized therapy. Clinical Pharmacology and Therapeutics 94(6): 613-616
Thomopoulos, C.; Mancia, G. 2020: Network meta-analyses in hypertension. Journal of Hypertension 38(11): 2141-2143
Wang, R.; Seidler, A.L.; Askie, L.; Norman, R.J.; Bhattacharya, S.; van Wely, M.; Mol, B.W. 2020: Network meta-analyses in reproductive medicine: challenges and opportunities. Human Reproduction 35(8): 1723-1731
Eckert, J.; Carrisosa, M.; Hauck, R.üd. 2021: Network meta-analysis comparing the effectiveness of anticoccidial drugs and anticoccidial vaccination in broiler chickens. Veterinary Parasitology 291: 109387
Reich, K.; Conrad, C.; Kristensen, L.Erik.; Smith, S.D.; Puig, L.; Rich, P.; Sapin, C.; Holzkaemper, T.; Koppelhus, U.; Schuster, C. 2021: Network meta-analysis comparing the efficacy of biologic treatments for achieving complete resolution of nail psoriasis. Journal of Dermatological Treatment 2021: 1-9
Bi, C.; Qiao, M.; Jia, Y.; Wang, H. 2021: Network meta-analysis of 6 kinds of Chinese patent medicines combined with mifepristone in the treatment of uterine fibroids: a protocol for systematic review and network meta-analysis. Medicine 100(42): E27523
Yu, Y.; Zhang, G.; Liu, J.; Han, T.; Huang, H. 2020: Network meta-analysis of Chinese patent medicine adjuvant treatment of poststroke depression. Medicine 99(31): E21375
Hu, T.Y.; Wang, H.-Q.; Zhang, W.P.; Tian, R.F.; Lei, G.S.; Deng, Y.C.; Xing, J.L. 2020: Network meta-analysis of antiepileptic drugs in focal drug-resistant epilepsy. Epilepsy Research 167: 106433
Mrowietz, U.; Warren, R.B.; Leonardi, C.L.; Saure, D.; Petto, H.; Hartz, S.; Dossenbach, M.; Reich, K. 2021: Network meta-analysis of biologic treatments for psoriasis using absolute Psoriasis Area and Severity Index values ≤1, 2, 3 or 5 derived from a statistical conversion method. Journal of the European Academy of Dermatology and Venereology: Jeadv 35(5): 1161-1175
Zhao, Q.; Hughes, R.; Neupane, B.; Mickle, K.; Su, Y.; Chabot, I.; Betts, M.; Kadambi, A. 2021: Network meta-analysis of eribulin versus other chemotherapies used as second- or later-line treatment in locally advanced or metastatic breast cancer. Bmc Cancer 21(1): 758
Jia, Y.; Yu, Y.; Huang, H. 2021: Network meta-analysis of four kinds of traditional Chinese exercise therapy in the treatment of type 2 diabetes: protocol for a systematic review. Bmj Open 11(7): E048259
Hanrahan, C.; Lee, T. 2021: Network meta-analysis of infliximab biosimilars for the treatment of rheumatoid arthritis. American Journal of Health-System Pharmacy: Ajhp: Official Journal of the American Society of Health-System Pharmacists 78(8): 697-704
Li, K.; Miao, J.; Zhang, J. 2021: Network meta-analysis of short-term effects of different strategies in the conservative treatment of AIS. European Journal of Medical Research 26(1): 54
Wang, J.; Huang, J.; Zeng, Q. 2020: Network meta-analysis of targeted therapies for diffuse large B cell lymphoma. Bmc Cancer 20(1): 1218
Zeng, H.; Wu, Z.; Yu, B.; Wang, B.; Wu, C.; Wu, J.; Lai, J.; Gao, X.; Chen, J. 2021: Network meta-analysis of triazole, polyene, and echinocandin antifungal agents in invasive fungal infection prophylaxis in patients with hematological malignancies. Bmc Cancer 21(1): 404
Shi, M.; Guo, J.; Li, Z.; Sun, H.; Yang, X.; Yang, D.; Zhao, H. 2021: Network meta-analysis on efficacy and safety of different anti-CGRP monoclonal antibody regimens for prophylaxis and treatment of episodic migraine. Neurological Research 2021: 1-18
Varotto, L.; Bregolin, G.; Paccanaro, M.; De Boni, A.; Bonanno, C.; Perini, F. 2021: Network meta-analysis on patent foramen ovale: is a stroke or atrial fibrillation worse?. Neurological Sciences: Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology 42(1): 101-109
Laskowski, A.; Lincoln, T.M. 2021: Network meta-analysis on the comparative efficacy of family interventions for psychotic disorders: a protocol. Bmj Open 11(1): E039777
Amer, M.A.; Smith, M.D.; Herbison, G.P.; McCall, J.L. 2020: Network meta-analysis: what it is and why you should know. ANZ Journal of Surgery 90(6): 954-956
Maheshwari, P.; Albert, R.ék. 2020: Network model and analysis of the spread of Covid-19 with social distancing. Applied Network Science 5(1): 100
Raj, A.; Powell, F. 2021: Network model of pathology spread recapitulates neurodegeneration and selective vulnerability in Huntington's Disease. Neuroimage 235: 118008
Lehky, S.R.; Sejnowski, T.J. 1988: Network model of shape-from-shading: neural function arises from both receptive and projective fields. Nature 333(6172): 452-454
Espinal-Enríquez, Jús.; Priego-Espinosa, D.Alejandro.; Darszon, A.; Beltrán, C.; Martínez-Mekler, G. 2017: Network model predicts that CatSper is the main Ca 2+ channel in the regulation of sea urchin sperm motility. Scientific Reports 7(1): 4236
Zeigler, A.C.; Chandrabhatla, A.S.; Christiansen, S.L.; Nelson, A.R.; Holmes, J.W.; Saucerman, J.J. 2021: Network model-based screen for FDA-approved drugs affecting cardiac fibrosis. Cpt: Pharmacometrics and Systems Pharmacology 10(4): 377-388
Pujana, M.Angel.; Han, J-Dong.J.; Starita, L.M.; Stevens, K.N.; Tewari, M.; Ahn, J.Sook.; Rennert, G.; Moreno, Víctor.; Kirchhoff, T.; Gold, B.; Assmann, V.; Elshamy, W.M.; Rual, J-François.; Levine, D.; Rozek, L.S.; Gelman, R.S.; Gunsalus, K.C.; Greenberg, R.A.; Sobhian, B.; Bertin, N.; Venkatesan, K.; Ayivi-Guedehoussou, N.; Solé, X.; Hernández, P.; Lázaro, C.; Nathanson, K.L.; Weber, B.L.; Cusick, M.E.; Hill, D.E.; Offit, K.; Livingston, D.M.; Gruber, S.B.; Parvin, J.D.; Vidal, M. 2007: Network modeling links breast cancer susceptibility and centrosome dysfunction. Nature Genetics 39(11): 1338-1349
Gliozzo, J.; Perlasca, P.; Mesiti, M.; Casiraghi, E.; Vallacchi, V.; Vergani, E.; Frasca, M.; Grossi, G.; Petrini, A.; Re, M.; Paccanaro, A.; Valentini, G. 2020: Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction. Scientific Reports 10(1): 3612
Lu, J.; Zeng, H.; Liang, Z.; Chen, L.; Zhang, L.; Zhang, H.; Liu, H.; Jiang, H.; Shen, B.; Huang, M.; Geng, M.; Spiegel, S.; Luo, C. 2015: Network modelling reveals the mechanism underlying colitis-associated colon cancer and identifies novel combinatorial anti-cancer targets. Scientific Reports 5: 14739
Komarova, N.L.; Azizi, A.; Wodarz, D. 2021: Network models and the interpretation of prolonged infection plateaus in the COVID19 pandemic. Epidemics 35: 100463
Bowman, G.R.; Huang, X.; Pande, V.S. 2010: Network models for molecular kinetics and their initial applications to human health. Cell Research 20(6): 622-630
Song, W-Min.; Agrawal, P.; Von Itter, R.; Fontanals-Cirera, B.; Wang, M.; Zhou, X.; Mahal, L.K.; Hernando, E.; Zhang, B. 2021: Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis. Nature Communications 12(1): 1214
Fletcher, R.J.; Revell, A.; Reichert, B.E.; Kitchens, W.M.; Dixon, J.D.; Austin, J.D. 2013: Network modularity reveals critical scales for connectivity in ecology and evolution. Nature Communications 4: 2572
Lin, D.; Chen, J.; Duan, K.; Perrone-Bizzozero, N.; Sui, J.; Calhoun, V.; Liu, J. 2020: Network modules linking expression and methylation in prefrontal cortex of schizophrenia. Epigenetics 2020: 1-18
Melkus, G.; Rucevskis, P.; Celms, E.; Čerāns, K.ār.; Freivalds, K.; Kikusts, P.; Lace, L.; Opmanis, M.ār.ņš; Rituma, D.; Viksna, J. 2020: Network motif-based analysis of regulatory patterns in paralogous gene pairs. Journal of Bioinformatics and Computational Biology 18(3): 2040008
Shen-Orr, S.S.; Milo, R.; Mangan, S.; Alon, U. 2002: Network motifs in the transcriptional regulation network of Escherichia coli. Nature Genetics 31(1): 64-68
Wu, F.; Ma, C.; Tan, C. 2016: Network motifs modulate druggability of cellular targets. Scientific Reports 6: 36626
Alon, U. 2007: Network motifs: theory and experimental approaches. Nature Reviews. Genetics 8(6): 450-461
Rong, Q.; Han, H.; Feng, F.; Ma, Z. 2015: Network nanostructured polypyrrole hydrogel/Au composites as enhanced electrochemical biosensing platform. Scientific Reports 5: 11440
Zambrana, C.; Xenos, A.; Böttcher, Ré.; Malod-Dognin, Nël.; Pržulj, Nša. 2021: Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates. Scientific Reports 11(1): 18985
Li, R.-J.; Jie, Z.-Y.; Feng, Q.; Fang, R.-L.; Li, F.; Gao, Y.; Xia, H.-H.; Zhong, H.-Z.; Tong, B.; Madsen, L.; Zhang, J.-H.; Liu, C.-L.; Xu, Z.-G.; Wang, J.; Yang, H.-M.; Xu, X.; Hou, Y.; Brix, S.; Kristiansen, K.; Yu, X.-L.; Jia, H.-J.; He, K.-L. 2021: Network of Interactions Between Gut Microbiome, Host Biomarkers, and Urine Metabolome in Carotid Atherosclerosis. Frontiers in Cellular and Infection Microbiology 11: 708088
Sampaio, M.á L.; Bispo Júnior, J.é P.íc. 2021: Network of Psychosocial Care: evaluation of the structure and process of mental healthcare linkage. Cadernos de Saude Publica 37(3): E00042620
Lim, L.Jin.; Jin, Y.; Yang, H.; Chung, A.Y.F.; Goh, B.K.P.; Chow, P.K.H.; Chan, C.Yip.; Blanks, W.K.; Cheow, P.Chung.; Lee, S.Yee.; Lim, T.K.H.; Chong, S.S.; Ooi, L.L.P.J.; Lee, C.G. 2020: Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients. Scientific Reports 10(1): 11124
Grillault Laroche, D.; Curis, E.; Bellivier, F.; Nepost, C.; Gross, G.; Etain, B.; Marie-Claire, C. 2021: Network of co-expressed circadian genes, childhood maltreatment and sleep quality in bipolar disorders. Chronobiology International 2021: 1-8
Deng, L.; Liu, M.; Hua, S.; Peng, Y.; Wu, A.; Qin, F.Xiao-Feng.; Cheng, G.; Jiang, T. 2015: Network of co-mutations in Ebola virus genome predicts the disease lethality. Cell Research 25(6): 753-756
Greer, W.G. 2015: Network of compliance professionals. Lab Animal 44(6): 239
Wei, Z.; Ren, L.; Wang, X.; Liu, C.; Cao, M.; Hu, M.; Jiang, Z.; Hui, B.; Xia, F.; Yang, Q.; Liu, Y.; Deng, Y. 2021: Network of depression and anxiety symptoms in patients with epilepsy. Epilepsy Research 175: 106696
Wang, Y.; Wang, X.; Sang, L.; Zhang, C.; Zhao, B.-T.; Mo, J.-J.; Hu, W.-H.; Shao, X.-Q.; Wang, F.; Ai, L.; Zhang, J.-G.; Zhang, K. 2020: Network of ictal head version in mesial temporal lobe epilepsy. Brain and Behavior 10(11): E01820
Cappa, C.; Figoli, M.; Rossi, P. 2020: Network of services facilitating and supporting job placement for people with autism spectrum disorders. the experience of the ASL Piacenza, Italy. Annali Dell'istituto Superiore di Sanita 56(2): 241-246
Perkins, H.T.; Allan, V.J.; Waigh, T.A. 2021: Network organisation and the dynamics of tubules in the endoplasmic reticulum. Scientific Reports 11(1): 16230
Sadler, J.R.; Shearrer, G.E.; Acosta, N.T.; Papantoni, A.; Cohen, J.R.; Small, D.M.; Park, S.Q.; Gordon-Larsen, P.; Burger, K.S. 2020: Network organization during probabilistic learning via taste outcomes. Physiology and Behavior 223: 112962
Behrends, C.; Sowa, M.E.; Gygi, S.P.; Harper, J.Wade. 2010: Network organization of the human autophagy system. Nature 466(7302): 68-76
Delplace, F.; Huard-Chauveau, C.; Berthomé, R.; Roby, D. 2022: Network organization of the plant immune system: from pathogen perception to robust defense induction. Plant Journal: for Cell and Molecular Biology 109(2): 447-470
Grimm, L.; Hogan, B.M. 2021: Network patterning, morphogenesis and growth in lymphatic vascular development. Current Topics in Developmental Biology 143: 151-204
Nunnari, G.; Sanfilippo, C.; Castrogiovanni, P.; Imbesi, R.; Li Volti, G.; Barbagallo, I.; Musumeci, G.; Di Rosa, M. 2020: Network perturbation analysis in human bronchial epithelial cells following SARS-CoV2 infection. Experimental Cell Research 395(2): 112204
Wei, L.; Zong, W.; Zeng, Q.-H.; Jiang, Y.-B.; Zeng, W.-Y.; Chi, H.; Zhou, Y.-Q.; Chen, M. 2021: Network pharmacological analysis and experimental verification of anti-inflammatory and analgesic effect of Zanthoxyli Pericarpium. Zhongguo Zhong Yao Za Zhi 46(12): 3034-3042
Miao, Z.-W.; Xu, Y.; Ning, L.-Q.; Yan, J.; Gu, M.-J.; Ye, B. 2020: Network pharmacological analysis and preliminary validation of mechanisms of Baitouweng Decoction in treatment of ulcerative colitis. Zhongguo Zhong Yao Za Zhi 45(8): 1808-1815
Pan, H.-D.; Yao, X.-J.; Wang, W.-Y.; Lau, H.-Y.; Liu, L. 2020: Network pharmacological approach for elucidating the mechanisms of traditional Chinese medicine in treating COVID-19 patients. Pharmacological Research 159: 105043
Pahal, S.; Gupta, A.; Choudhary, P.; Chaudhary, A.; Singh, S. 2021: Network pharmacological evaluation of Withania somnifera bioactive phytochemicals for identifying novel potential inhibitors against neurodegenerative disorder. Journal of Biomolecular Structure and Dynamics 2021: 1-12
Li, C.; Guo, H.; Wang, C.; Zhan, W.; Tan, Q.; Xie, C.; Sharma, A.; Sharma, H.S.; Chen, L.; Zhang, Z. 2021: Network pharmacological mechanism of Cinobufotalin against glioma. Progress in Brain Research 265: 119-137
Liu, W.; Xu, W.; Li, C.; Xu, J.; Huang, K.; Hu, R.; Huang, H.; Liu, X. 2021: Network pharmacological systems study of Huang-Lian-Tang in the treatment of glioblastoma multiforme. Oncology Letters 21(1): 18
Zhang, Y-Li.; Yin, Q.; Peng, H-Ming.; Huang, R.; Zhou, J-Wen.; Liu, L-Hui.; Gao, H-Qi.; Zhao, C-Peng.; Peng, X-Hang.; Xiao, L.; Nie, J.; Yang, Q-Cheng.; He, C-Ye.; Hu, G-Sheng.; Chen, J-Chun.; Jia, J-Ming.; Fang, J-Bo. 2021: Network pharmacology analysis and experimental validation to explore the mechanism of Hanchuan Zupa Granule in asthma. Journal of Ethnopharmacology 281:: 114534
He, D.-D.; Zhang, X.-K.; Zhu, X.-Y.; Huang, F.-F.; Wang, Z.; Tu, J.-C. 2021: Network pharmacology and RNA-sequencing reveal the molecular mechanism of Xuebijing injection on COVID-19-induced cardiac dysfunction. Computers in Biology and Medicine 131: 104293
Xie, Y.; Mu, C.; Kazybay, B.; Sun, Q.; Kutzhanova, A.; Nazarbek, G.; Xu, N.; Nurtay, L.; Wang, Q.; Amin, A.; Li, X. 2021: Network pharmacology and experimental investigation of Rhizoma polygonati extract targeted kinase with herbzyme activity for potent drug delivery. Drug Delivery 28(1): 2187-2197
Xiang, H.; Lei, H.; Liu, Z.; Liu, Y.; Li, Y.; Qiu, Y.; Xu, L. 2021: Network pharmacology and molecular docking analysis on molecular targets: Mechanisms of baicalin and baicalein against hyperuricemic nephropathy. Toxicology and Applied Pharmacology 424: 115594
Liu, K.; Tao, X.; Su, J.; Li, F.; Mu, F.; Zhao, S.; Lu, X.; Li, J.; Chen, S.; Dong, T.; Duan, J.; Wei, P.; Xi, M. 2021: Network pharmacology and molecular docking reveal the effective substances and active mechanisms of Dalbergia Odoriferain protecting against ischemic stroke. Plos one 16(9): E0255736
Zhang, M.; Yang, J.; Zhao, X.; Zhao, Y.; Zhu, S. 2021: Network pharmacology and molecular docking study on the active ingredients of qidengmingmu capsule for the treatment of diabetic retinopathy. Scientific Reports 11(1): 7382
Jin, J.; Chen, B.; Zhan, X.; Zhou, Z.; Liu, H.; Dong, Y. 2021: Network pharmacology and molecular docking study on the mechanism of colorectal cancer treatment using Xiao-Chai-Hu-Tang. Plos one 16(6): E0252508
Liu, C.-S.; Xia, T.; Luo, Z.-Y.; Wu, Y.-Y.; Hu, Y.-N.; Chen, F.-L.; Tang, Q.-F.; Tan, X.-M. 2021: Network pharmacology and pharmacokinetics integrated strategy to investigate the pharmacological mechanism of Xianglian pill on ulcerative colitis. Phytomedicine: International Journal of PhytoTherapy and Phytopharmacology 82: 153458
Oh, K.Kwang.; Adnan, M.; Cho, D.Ha. 2021: Network pharmacology approach to decipher signaling pathways associated with target proteins of NSAIDs against COVID-19. Scientific Reports 11(1): 9606
Lian, Y.; Wang, Q.; Mu, J.; Liu, H.; Xu, T.; Fan, S.; Tang, F.; Feng, T.; Xu, W.; Jin, N.; Cheng, F.; Wang, X. 2021: Network pharmacology assessment of Qingkailing injection treatment of cholestatic hepatitis. Journal of Traditional Chinese Medicine 41(1): 167-180
Gogoi, B.; Gogoi, D.; Gogoi, N.; Mahanta, S.; Buragohain, A.K. 2021: Network pharmacology based high throughput screening for identification of multi targeted anti-diabetic compound from traditionally used plants. Journal of Biomolecular Structure and Dynamics 2021: 1-14
Chen, Z.; Lin, T.; Liao, X.; Li, Z.; Lin, R.; Qi, X.; Chen, G.; Sun, L.; Lin, L. 2021: Network pharmacology based research into the effect and mechanism of Yinchenhao Decoction against Cholangiocarcinoma. Chinese Medicine 16(1): 13
Zhang, X.; Shen, T.; Zhou, X.; Tang, X.; Gao, R.; Xu, L.; Wang, L.; Zhou, Z.; Lin, J.; Hu, Y. 2020: Network pharmacology based virtual screening of active constituents of Prunella vulgaris L. and the molecular mechanism against breast cancer. Scientific Reports 10(1): 15730
Wang, X.; He, Q.; Chen, Q.; Xue, B.; Wang, J.; Wang, T.; Liu, H.; Chen, X. 2021: Network pharmacology combined with metabolomics to study the mechanism of Shenyan Kangfu Tablets in the treatment of diabetic nephropathy. Journal of Ethnopharmacology 270:: 113817
Wang, Y.; Shi, Y.; Zou, J.; Zhang, X.; Liang, Y.; Tai, J.; Cui, C.; Wang, M.; Guo, D. 2020: Network pharmacology exploration reveals a common mechanism in the treatment of cardio-cerebrovascular disease with Salvia miltiorrhiza Burge. and Carthamus tinctorius L. Bmc Complementary Medicine and Therapies 20(1): 351
McGovern, A.J.; Barreto, G.E. 2021: Network pharmacology identifies IL6 as an important hub and target of tibolone for drug repurposing in traumatic brain injury. Biomedicine and PharmacoTherapy 140: 111769
Bai, X.; Tang, Y.; Li, Q.; Chen, Y.; Liu, D.; Liu, G.; Fan, X.; Ma, R.; Wang, S.; Li, L.; Zhou, K.; Zheng, Y.; Liu, Z. 2021: Network pharmacology integrated molecular docking reveals the bioactive components and potential targets of Morinda officinalis-Lycium barbarum coupled-herbs against oligoasthenozoospermia. Scientific Reports 11(1): 2220
Zhu, N.; Hou, J.; Yang, N. 2021: Network pharmacology integrated with experimental validation revealed the anti-inflammatory effects of Andrographis paniculata. Scientific Reports 11(1): 9752
Zhang, P.; Chen, H.; Shen, G.; Zhang, Z.; Yu, X.; Shang, Q.; Zhao, W.; Li, D.; Li, P.; Chen, G.; Liang, D.; Jiang, X.; Ren, H. 2021: Network pharmacology integrated with experimental validation reveals the regulatory mechanism of plastrum testudinis in treating senile osteoporosis. Journal of Ethnopharmacology 276:: 114198
Tang, J.; Gautam, P.; Gupta, A.; He, L.; Timonen, S.; Akimov, Y.; Wang, W.; Szwajda, A.; Jaiswal, A.; Turei, D.; Yadav, B.; Kankainen, M.; Saarela, J.; Saez-Rodriguez, J.; Wennerberg, K.; Aittokallio, T. 2019: Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer. Npj Systems Biology and Applications 5: 20
Tang, J.; Gautam, P.; Gupta, A.; He, L.; Timonen, S.; Akimov, Y.; Wang, W.; Szwajda, A.; Jaiswal, A.; Turei, D.; Yadav, B.; Kankainen, M.; Saarela, J.; Saez-Rodriguez, J.; Wennerberg, K.; Aittokallio, T. 2019: Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer. Npj Systems Biology and Applications 5(1): 20
Zhang, D.; Dong, Y.; Lv, J.; Zhang, B.; Zhang, X.; Lin, Z. 2021: Network pharmacology modeling identifies synergistic interaction of therapeutic and toxicological mechanisms for Tripterygium hypoglaucum Hutch. Bmc Complementary Medicine and Therapies 21(1): 38
Oh, K.K.; Adnan, M.; Cho, D.H. 2020: Network pharmacology of bioactives from Sorghum bicolor with targets related to diabetes mellitus. Plos one 15(12): E0240873
Wang, E.-Y.; Wang, J.-H.; Ding, R.; Li, Z.-Q.; Zhai, M.-T.; Ge, R.-R.; Zhou, P.; Wang, L.; Huang, J.-L. 2020: Network pharmacology research and experimental validation of "Coptidis Rhizoma-Pinelliae Rhizoma" in treating gastric carcinoma. Zhongguo Zhong Yao Za Zhi 45(8): 1779-1788
Wang, L.-F.; Zhang, X.-F.; Li, H.-T.; Liu, X.-L.; Ren, G.-L.; Wang, Y.; Cha, Q.-L.; Yang, M.; Wang, F. 2020: Network pharmacology research on high frequency use of Pericarpium Citri Reticulatae and Aucklandiae Radix herb pair in treatment of constipation with aromatic traditional Chinese medicine based on data mining. Zhongguo Zhong Yao Za Zhi 45(9): 2103-2114
Hu, Q.; Wei, S.; Wen, J.; Zhang, W.; Jiang, Y.; Qu, C.; Xiang, J.; Zhao, Y.; Peng, X.; Ma, X. 2020: Network pharmacology reveals the multiple mechanisms of Xiaochaihu decoction in the treatment of non-alcoholic fatty liver disease. Biodata Mining 13: 11
Li, S.; Wang, Y.; Zhang, C. 2020: Network pharmacology strategy for predicting the correlation of Systemic Scleroderma with Vitamin D deficiency. International Immunopharmacology 86: 106702
Zhou, X.-C.; Huang, M.-W.; Jiao, S.-G.; Ge, F.-X.; Chen, P.-L.; Liu, C.-X.; Gao, X.-L.; Tu, P.-F.; Chai, X.-Y. 2021: Network pharmacology study of Tibetan medicine Corydalis Herba against acute myocardial ischemia. Zhongguo Zhong Yao Za Zhi 46(12): 3058-3065
Li, C.-F.; Zhang, F.-R.; Zhu, N.; Cui, J.-Z.; Tang, S.-H.; Li, Z.-Y. 2021: Network pharmacology study of Yi medicine Jinweitai Capsules in treating gastrointestinal diseases. Zhongguo Zhong Yao Za Zhi 46(4): 865-876
Zhao, R.; Liu, P.; Song, A.; Liu, J.; Chu, Q.; Liu, Y.; Jiang, Y.; Dong, C.; Shi, H.; Yan, Z. 2021: Network pharmacology study on the mechanism of Qiangzhifang in the treatment of panic disorder. Annals of Translational Medicine 9(16): 1350
Yu, B.; Lin, F.; Ning, H.; Ling, B. 2021: Network pharmacology study on the mechanism of the Chinese medicine Radix Isatidis (Banlangen) for COVID-19. Medicine 100(32): E26881
Liu, P.-L.; Song, A.-R.; Dong, C.-D.; Chu, Q.; Xu, B.-L.; Liu, J.-M.; Yan, Z.-J. 2021: Network pharmacology study on the mechanism of the herb pair of prepared Rehmannia root-Chinese arborvitae kernel for anxiety disorders. Annals of Palliative Medicine 10(3): 3313-3327
Zhang, D-Hai.; Zhang, X.; Peng, B.; Deng, S-Qiong.; Wang, Y-Fang.; Yang, L.; Zhang, K-Zheng.; Ling, C-Quan.; Wu, K-Lun. 2020: Network pharmacology suggests biochemical rationale for treating COVID-19 symptoms with a Traditional Chinese Medicine. Communications Biology 3(1): 466
Zhou, W.; Lai, X.; Wang, X.; Yao, X.; Wang, W.; Li, S. 2021: Network pharmacology to explore the anti-inflammatory mechanism of Xuebijing in the treatment of sepsis. Phytomedicine: International Journal of PhytoTherapy and Phytopharmacology 85: 153543
Liu, Z.; Li, H.; Ma, W.; Pan, S. 2021: Network pharmacology to investigate the pharmacological mechanisms of muscone in Xingnaojing injections for the treatment of severe traumatic brain injury. Peerj 9: E11696
Ye, M.; Luo, G.; Ye, D.; She, M.; Sun, N.; Lu, Y.-J.; Zheng, J. 2021: Network pharmacology, molecular docking integrated surface plasmon resonance technology reveals the mechanism of Toujie Quwen Granules against coronavirus disease 2019 pneumonia. Phytomedicine: International Journal of PhytoTherapy and Phytopharmacology 85: 153401
He, J.; Wo, D.; Ma, E.; Wang, Q.; Chen, J.; Peng, J.; Zhu, W.; Ren, D-Ni. 2021: Network pharmacology-based analysis in determining the mechanisms of Huoxin pill in protecting against myocardial infarction. Pharmaceutical Biology 59(1): 1191-1202
Chen, L.; Peng, Y.; Ji, C.; Yuan, M.; Yin, Q. 2021: Network pharmacology-based analysis of the role of tacrolimus in liver transplantation. Saudi Journal of Biological Sciences 28(3): 1569-1575
Zeng, Y.; Lou, G.; Ren, Y.; Li, T.; Zhang, X.; Wang, J.; Huang, Q. 2021: Network pharmacology-based analysis of Zukamu granules for the treatment of COVID-19. European Journal of Integrative Medicine 42: 101282
Jin, D.; Zhang, J.; Zhang, Y.; An, X.; Zhao, S.; Duan, L.; Zhang, Y.; Zhen, Z.; Lian, F.; Tong, X. 2021: Network pharmacology-based and molecular docking prediction of the active ingredients and mechanism of ZaoRenDiHuang capsules for application in insomnia treatment. Computers in Biology and Medicine 135: 104562
He, S.; Wang, T.; Shi, C.; Wang, Z.; Fu, X. 2022: Network pharmacology-based approach to understand the effect and mechanism of Danshen against anemia. Journal of Ethnopharmacology 282:: 114615
Rathaur, P.; Soni, M.N.; Gelat, B.; Rawal, R.; Pandya, H.A.; Johar, K. 2021: Network pharmacology-based evaluation of natural compounds with paclitaxel for the treatment of metastatic breast cancer. Toxicology and Applied Pharmacology 423: 115576
Li, N.-N.; Xiang, S.-Y.; Huang, X.-X.; Li, Y.-T.; Luo, C.; Ju, P.-J.; Xu, Y.-F.; Chen, J.-H. 2021: Network pharmacology-based exploration of therapeutic mechanism of Liu-Yu-Tang in atypical antipsychotic drug-induced metabolic syndrome. Computers in Biology and Medicine 134: 104452
Yu, B.; Diao, N.-N.; Zhang, Y.; Li, X.-Z.; Yu, N.; Ding, Y.-F.; Shi, Y.-L. 2020: Network pharmacology-based identification for therapeutic mechanisms of Dangguikushen pill in acne vulgaris. Dermatologic Therapy 33(6): E14061
Yan, S.; Zhang, S.; Du, A.; Miao, H.; Lu, B.; Huang, Z.; Ji, L. 2021: Network pharmacology-based identification of significant pathway for protection of Yinhuang granule in a mice model of metabolic-associated fatty liver disease. Phytomedicine: International Journal of PhytoTherapy and Phytopharmacology 91: 153666
Chen, W.; Li, J.; Li, C.; Fan, H.-N.; Zhang, J.; Zhu, J.-S. 2020: Network pharmacology-based identification of the antitumor effects of taraxasterol in gastric cancer. International Journal of Immunopathology and Pharmacology 34: 2058738420933107
Ding, H.; Chen, L.; Hong, Z.; Yu, X.; Wang, Z.; Feng, J. 2021: Network pharmacology-based identification of the key mechanism of quercetin acting on hemochromatosis. Metallomics: Integrated Biometal Science 13(6)
Dong, Y.; Zhao, Q.; Wang, Y. 2021: Network pharmacology-based investigation of potential targets of astragalus membranaceous-angelica sinensis compound acting on diabetic nephropathy. Scientific Reports 11(1): 19496
Liu, Z.-W.; Luo, Z.-H.; Meng, Q.-Q.; Zhong, P.-C.; Hu, Y.-J.; Shen, X.-L. 2020: Network pharmacology-based investigation on the mechanisms of action of Morinda officinalis How. in the treatment of osteoporosis. Computers in Biology and Medicine 127: 104074
Wang, K.; Lei, L.; Cao, J.; Qiao, Y.; Liang, R.; Duan, J.; Feng, Z.; Ding, Y.; Ma, Y.; Yang, Z.; Zhang, E. 2021: Network pharmacology-based prediction of the active compounds and mechanism of Buyang Huanwu Decoction for ischemic stroke. Experimental and Therapeutic Medicine 22(4): 1050
Wang, D.; Tian, L.; Shi, C.; Wei, Y.-X.; Wang, H.; Liu, T.-T.; Gong, M.; Zhang, Y.-W.; Yu, R.-G.; Wu, X.-H. 2020: Network pharmacology-based prediction of the active ingredients and mechanism of Shen Gui capsule for application to coronary heart disease. Computers in Biology and Medicine 122: 103825
Lan, S.; Duan, J.; Zeng, N.; Yu, B.; Yang, X.; Ning, H.; Huang, Y.; Rao, Y. 2021: Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging. Medicine 100(17): E25660
Fang, Y.; Su, Z.; Si, W.; Liu, Y.; Li, J.; Zeng, P. 2021: Network pharmacology-based study of the therapeutic mechanism of resveratrol for Alzheimer's disease. Nan Fang Yi Ke da Xue Xue Bao 41(1): 10-19
Bi, S-Jie.; Huang, Y-Xi.; Feng, L-Mei.; Yue, S-Jun.; Chen, Y-Yan.; Fu, R-Jia.; Xu, D-Qiao.; Tang, Y-Ping. 2022: Network pharmacology-based study on immunomodulatory mechanism of danggui-yimucao herb pair for the treatment of RU486-induced abortion. Journal of Ethnopharmacology 282:: 114609
Hu, P.; Sun, N.; Khan, A.; Zhang, X.; Sun, P.; Sun, Y.; Guo, J.; Zheng, X.; Yin, W.; Fan, K.; Wang, J.; Yang, H.; Li, H. 2021: Network pharmacology-based study on the mechanism of scutellarin against zearalenone-induced ovarian granulosa cell injury. Ecotoxicology and Environmental Safety 227: 112865
Li, Z.; Xu, D.; Jing, J.; Li, F. 2021: Network pharmacology-based study to explore the mechanism of the Yiqi Gubiao pill in lung cancer treatment. Oncology Letters 21(4): 321
Bashan, A.; Bartsch, R.P.; Kantelhardt, J.W.; Havlin, S.; Ivanov, P.Ch. 2012: Network physiology reveals relations between network topology and physiological function. Nature Communications 3: 702
Filipczyk, A.; Marr, C.; Hastreiter, S.; Feigelman, J.; Schwarzfischer, M.; Hoppe, P.S.; Loeffler, D.; Kokkaliaris, K.D.; Endele, M.; Schauberger, B.; Hilsenbeck, O.; Skylaki, S.; Hasenauer, J.; Anastassiadis, K.; Theis, F.J.; Schroeder, T. 2015: Network plasticity of pluripotency transcription factors in embryonic stem cells. Nature Cell Biology 17(10): 1235-1246
Weaver, D.T.; Pishas, K.I.; Williamson, D.; Scarborough, J.; Lessnick, S.L.; Dhawan, A.; Scott, J.G. 2021: Network potential identifies therapeutic miRNA cocktails in Ewing sarcoma. Plos Computational Biology 17(10): E1008755
Vornholt, E.; Drake, J.; Mamdani, M.; McMichael, G.; Taylor, Z.N.; Bacanu, S.-A.; Miles, M.F.; Vladimirov, V.I. 2020: Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in NAc and PFC. Plos one 15(12): E0243857
Scelsi, M.A.; Napolioni, V.; Greicius, M.D.; Altmann, A. 2021: Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities. Plos Computational Biology 17(1): E1008517
Mohsen, H.; Gunasekharan, V.; Qing, T.; Seay, M.; Surovtseva, Y.; Negahban, S.; Szallasi, Z.; Pusztai, L.; Gerstein, M.B. 2021: Network propagation-based prioritization of long tail genes in 17 cancer types. Genome Biology 22(1): 287
Cliff, O.M.; Sintchenko, V.; Sorrell, T.C.; Vadlamudi, K.; McLean, N.; Prokopenko, M. 2019: Network properties of salmonella epidemics. Scientific Reports 9(1): 6159
Klinger, B.; Sieber, A.; Fritsche-Guenther, R.; Witzel, F.; Berry, L.; Schumacher, D.; Yan, Y.; Durek, P.; Merchant, M.; Schäfer, R.; Sers, C.; Blüthgen, N. 2013: Network quantification of EGFR signaling unveils potential for targeted combination therapy. Molecular Systems Biology 9: 673
Shamim, D.; Cheng, J.; Pearson, C.; Landazuri, P. 2021: Network radiofrequency ablation for drug resistant epilepsy. Epilepsy and Behavior Reports 16: 100471
Roth, A.R.; Peng, S.; Coleman, M.E.; Finley, E.; Perry, B. 2021: Network recall among older adults with cognitive impairments. Social Networks 64: 99-108
Thomas, A.; Rahmanian, S.; Bordbar, A.; Palsson, B.Ø.; Jamshidi, N. 2014: Network reconstruction of platelet metabolism identifies metabolic signature for aspirin resistance. Scientific Reports 4: 3925
Tung, H.; Lin, W.-H.; Lan, T.-H.; Hsieh, P.F.; Chiang, M.-C.; Lin, Y.-Y.; Peng, S.-J. 2021: Network reorganization during verbal fluency task in fronto-temporal epilepsy: a functional near-infrared spectroscopy study. Journal of Psychiatric Research 138: 541-549
Su, L.; Xie, Y.; He, Z.; Zhang, J.; Tang, Y.; Zhou, X. 2021: Network response of two cherry tomato (Lycopersicon esculentum) cultivars to Cadmium stress as revealed by transcriptome analysis. Ecotoxicology and Environmental Safety 222: 112473
Kim, J.; Kim, I.; Han, S.Kyu.; Bowie, J.U.; Kim, S. 2012: Network rewiring is an important mechanism of gene essentiality change. Scientific Reports 2: 900
Guzman, L.M.; Chamberlain, S.A.; Elle, E. 2021: Network robustness and structure depend on the phenological characteristics of plants and pollinators. Ecology and Evolution 11(19): 13321-13334
Tejedor, A.; Longjas, A.; Zaliapin, I.; Ambroj, S.; Foufoula-Georgiou, E. 2017: Network robustness assessed within a dual connectivity framework: joint dynamics of the Active and Idle Networks. Scientific Reports 7(1): 8567
Chou, C-Pin. 2014: Network robustness: detecting topological quantum phases. Scientific Reports 4: 7526
Schmid, J.Sabine.; Taubert, F.; Wiegand, T.; Sun, I-Fang.; Huth, A. 2020: Network science applied to forest megaplots: tropical tree species coexist in small-world networks. Scientific Reports 10(1): 13198
Yin, C.; Xiao, X.; Balaban, V.; Kandel, M.E.; Lee, Y.Jae.; Popescu, G.; Bogdan, P. 2020: Network science characteristics of brain-derived neuronal cultures deciphered from quantitative phase imaging data. Scientific Reports 10(1): 15078
Shen, L.; Walker, D.M.; Small, M. 2019: Network science meets algebraic topology. National Science Review 6(6): 1064-1065
Kovács, Ián.A.; Barabási, A-László. 2015: Network science: Destruction perfected. Nature 524(7563): 38-39
Barabási, A-László. 2012: Network science: Luck or reason. Nature 489(7417): 507-508
Graif, C.; Freelin, B.N.; Kuo, Y-Hsuan.; Wang, H.; Li, Z.; Kifer, D. 2021: Network spillovers and neighborhood crime: A computational statistics analysis of employment-based networks of neighborhoods. Justice Quarterly: Jq 38(2): 344-374
Viney, T.J.; Lasztoczi, B.; Katona, L.; Crump, M.G.; Tukker, J.J.; Klausberger, T.; Somogyi, P. 2013: Network state-dependent inhibition of identified hippocampal CA3 axo-axonic cells in vivo. Nature Neuroscience 16(12): 1802-1811
Phillips, B.; Bauch, C.T. 2021: Network structural metrics as early warning signals of widespread vaccine refusal in social-epidemiological networks. Journal of Theoretical Biology 531: 110881
Singleton, A.L.; Marshall, B.D.L.; Bessey, S.; Harrison, M.T.; Galvani, A.P.; Yedinak, J.L.; Jacka, B.P.; Goodreau, S.M.; Goedel, W.C. 2021: Network structure and rapid HIV transmission among people who inject drugs: a simulation-based analysis. Epidemics 34: 100426
Montesinos-Navarro, A.; Hiraldo, F.; Tella, Jé.L.; Blanco, G. 2017: Network structure embracing mutualism-antagonism continuums increases community robustness. Nature Ecology and Evolution 1(11): 1661-1669
Tohyama, K.; Miller, W.G. 1981: Network structure in gels of rod-like polypeptides. Nature 289(5800): 813-814
Ren, L.; Wang, Y.; Wu, L.; Wei, Z.; Cui, L.-B.; Wei, X.; Hu, X.; Peng, J.; Jin, Y.; Li, F.; Yang, Q.; Liu, X. 2021: Network structure of depression and anxiety symptoms in Chinese female nursing students. Bmc Psychiatry 21(1): 279
Lacasa, L.; Nicosia, V.; Latora, V. 2015: Network structure of multivariate time series. Scientific Reports 5: 15508
Saari, T.T.; Hallikainen, I.; Hintsa, T.; Koivisto, A.M. 2020: Network structures and temporal stability of self- and informant-rated affective symptoms in Alzheimer's disease. Journal of Affective Disorders 276: 1084-1092
Ryu, S.; Park, I.-H.; Kim, M.; Lee, Y.-R.; Lee, J.; Kim, H.; Jhon, M.; Kim, J.-W.; Lee, J.-Y.; Kim, J.-M.; Kim, S.-W. 2021: Network study of responses to unusualness and psychological stress during the COVID-19 outbreak in Korea. Plos one 16(2): E0246894
Verma, T.; Gupta, A.K. 2021: Network synchronization, stability and rhythmic processes in a diffusive mean-field coupled SEIR model. Communications in Nonlinear Science and Numerical Simulation 102: 105927
Xue, X.; Pan, L.; Zheng, M.; Wang, W. 2020: Network temporality can promote and suppress information spreading. Chaos 30(11): 113136
Banerjee, A.; Goswami, R.Prosad.; Chatterjee, M. 2021: Network theoretic analysis of JAK/STAT pathway and extrapolation to drugs and viruses including COVID-19. Scientific Reports 11(1): 2512
Calvet, L.E.; Matviienko, S.; Ducluzaux, P. 2020: Network theory of the bacterial ribosome. Plos one 15(10): E0239700
Tomasello, D. 2019: Network to help inexperienced scientists. Nature 566(7742): 39
Kondo, K. 2006: Network to support patients with ALS in the Hyogo prefecture. No to Shinkei 58(8): 653-659
Blatov, V.A.; Golov, A.A.; Yang, C.; Zeng, Q.; Kabanov, A.A. 2019: Network topological model of reconstructive solid-state transformations. Scientific Reports 9(1): 6007
Zolfaghari, N.; Khandagale, P.; Ford, M.J.; Dayal, K.; Majidi, C. 2020: Network topologies dictate electromechanical coupling in liquid metal-elastomer composites. Soft Matter 16(38): 8818-8825
Gollapalli, P.; G, T.S.; H, M.; Shetty, P.; N, S.K. 2021: Network topology analysis of essential genes interactome of Helicobacter pylori to explore novel therapeutic targets. Microbial Pathogenesis 158: 105059
Yan, J.; Tuhin, M.O.; Sadler, J.D.; Smith, S.D.; Pasquinelli, M.A.; Spontak, R.J. 2020: Network topology and stability of homologous multiblock copolymer physical gels. Journal of Chemical Physics 153(12): 124904
Boroda, E.; Armstrong, M.; Gilmore, C.S.; Gentz, C.; Fenske, A.; Fiecas, M.; Hendrickson, T.; Roediger, D.; Mueller, B.; Kardon, R.; Lim, K. 2021: Network topology changes in chronic mild traumatic brain injury (mTBI). NEUROIMAGE. Clinical 31: 102691
Conrad, B.N.; Wilkey, E.D.; Yeo, D.J.; Price, G.R. 2020: Network topology of symbolic and nonsymbolic number comparison. Network Neuroscience 4(3): 714-745
Garcia-Ramos, C.; Struck, A.F.; Cook, C.; Prabhakaran, V.; Nair, V.; Maganti, R.; Binder, J.R.; Meyerand, M.; Conant, L.L.; Hermann, B. 2021: Network topology of the cognitive phenotypes of temporal lobe epilepsy. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior 141: 55-65
Liu, Z.-Q.; Zheng, Y.-Q.; Misic, B. 2020: Network topology of the marmoset connectome. Network Neuroscience 4(4): 1181-1196
Litwin, H.; Levinsky, M.; Schwartz, E. 2020: Network type, transition patterns and well-being among older Europeans. European Journal of Ageing 17(2): 241-250
Zhang, H-Ping.; Pan, J-Bo.; Zhang, C.; Ji, N.; Wang, H.; Ji, Z-Liang. 2014: Network understanding of herb medicine via rapid identification of ingredient-target interactions. Scientific Reports 4: 3719
Kraus, B.T.; Perez, D.; Ladwig, Z.; Seitzman, B.A.; Dworetsky, A.; Petersen, S.E.; Gratton, C. 2021: Network variants are similar between task and rest states. Neuroimage 229: 117743
Theocharidis, A.; van Dongen, S.; Enright, A.J.; Freeman, T.C. 2009: Network visualization and analysis of gene expression data using BioLayout Express(3D). Nature Protocols 4(10): 1535-1550
Hermann, B.; Conant, L.L.; Cook, C.J.; Hwang, G.; Garcia-Ramos, C.; Dabbs, K.; Nair, V.A.; Mathis, J.; Bonet, C.N.R.; Allen, L.; Almane, D.N.; Arkush, K.; Birn, R.; DeYoe, E.A.; Felton, E.; Maganti, R.; Nencka, A.; Raghavan, M.; Shah, U.; Sosa, V.N.; Struck, A.F.; Ustine, C.; Reyes, A.; Kaestner, E.; McDonald, C.; Prabhakaran, V.; Binder, J.R.; Meyerand, M.E. 2020: Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy. NEUROIMAGE. Clinical 27: 102341
Lai, X.; Dreyer, F.S.; Cantone, M.; Eberhardt, M.; Gerer, K.F.; Jaitly, T.; Uebe, S.; Lischer, C.; Ekici, A.; Wittmann, J.ür.; Jäck, H.-M.; Schaft, N.; Dörrie, J.; Vera, J. 2021: Network- and systems-based re-engineering of dendritic cells with non-coding RNAs for cancer immunotherapy. Theranostics 11(3): 1412-1428
Emanetci, E.; Çakır, T. 2021: Network-Based Analysis of Cognitive Impairment and Memory Deficits from Transcriptome Data. Journal of Molecular Neuroscience: Mn 71(11): 2415-2428
Ivanov, S.; Lagunin, A.; Filimonov, D.; Tarasova, O. 2020: Network-Based Analysis of OMICs Data to Understand the HIV-Host Interaction. Frontiers in Microbiology 11: 1314
Wang, Y.; Liu, H.; Lin, Y.; Liu, G.; Chu, H.; Zhao, P.; Yang, X.; Zheng, T.; Fan, M.; Zhou, X.; Meng, J.; Sun, C. 2017: Network-Based Approach to Identify Potential Targets and Drugs that Promote Neuroprotection and Neurorepair in Acute Ischemic Stroke. Scientific Reports 7: 40137
Tian, S.; Jing, R.; Zhang, W. 2020: Network-Based Approach to Identify the Antiproliferative Mechanisms of Bruceine D in Breast Cancer from the Cancer Genome Atlas. Frontiers in Oncology 10: 1001
Martinez-Hernandez, J.E.; Hammoud, Z.; de Sousa, A.M.; Kramer, F.; Monte-Neto, R.L.d.; Maracaja-Coutinho, V.; Martin, A.J.M. 2021: Network-Based Approaches Reveal Potential Therapeutic Targets for Host-Directed Antileishmanial Therapy Driving Drug Repurposing. Microbiology Spectrum 9(2): E0101821
Li, J.; Zhou, J.; Kai, S.; Wang, C.; Wang, D.; Jiang, J. 2020: Network-Based Coexpression Analysis Identifies Functional and Prognostic Long Noncoding RNAs in Hepatocellular Carcinoma. Biomed Research International 2020: 1371632
Jiang, Z.; Dong, X.; Zhang, Z. 2016: Network-Based Comparative Analysis of Arabidopsis Immune Responses to Golovinomyces orontii and Botrytis cinerea Infections. Scientific Reports 6: 19149
Shi, Y.; Chen, G.; Teng, J. 2021: Network-Based Expression Analyses and Experimental Verifications Reveal the Involvement of STUB1 in Acute Kidney Injury. Frontiers in Molecular Biosciences 8: 655361
Fang, J.; Wu, Q.; Ye, F.; Cai, C.; Xu, L.; Gu, Y.; Wang, Q.; Liu, A.-L.; Tan, W.; Du, G.-H. 2021: Network-Based Identification and Experimental Validation of Drug Candidates Toward SARS-CoV-2 via Targeting Virus-Host Interactome. Frontiers in Genetics 12: 728960
Tuncbag, N.; Gosline, S.J.C.; Kedaigle, A.; Soltis, A.R.; Gitter, A.; Fraenkel, E. 2016: Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package. Plos Computational Biology 12(4): E1004879
Nanavati, C.; Mager, D.E. 2021: Network-Based Systems Analysis Explains Sequence-Dependent Synergism of Bortezomib and Vorinostat in Multiple Myeloma. Aaps Journal 23(5): 101
Juher, D.; Saldaña, J.; Kohn, R.; Bernstein, K.; Scoglio, C. 2017: Network-Centric Interventions to Contain the Syphilis Epidemic in San Francisco. Scientific Reports 7(1): 6464
Zhao, F.; Zhang, X.; Qin, W.; Liu, F.; Wang, Q.; Xu, Q.; Wang, J.; Yu, C. 2015: Network-Dependent Modulation of COMT and DRD2 Polymorphisms in Healthy Young Adults. Scientific Reports 5: 17996
Litwin, H.; Levinsky, M. 2021: Network-Exposure Severity and Self-Protective Behaviors: the Case of COVID-19. Innovation in Aging 5(2): Igab 015
Gong, Q.; Hu, X.; Pettersson-Yeo, W.; Xu, X.; Lui, S.; Crossley, N.; Wu, M.; Zhu, H.; Mechelli, A. 2017: Network-Level Dysconnectivity in Drug-Naïve First-Episode Psychosis: Dissociating Transdiagnostic and Diagnosis-Specific Alterations. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 42(4): 933-940
Heyde, I.; Oster, H. 2020: Network-Like Organization of the Circadian System Regulates Metabolic Homeostasis. Obesity 28(Suppl 1): S8-S9
Hua, M.-H.; Chen, Y.-L.; Chen, M.-H.; Huang, K.-L.; Hsu, J.-W.; Bai, Y.-M.; Tsai, S.-J.; Wu, Y.-T. 2021: Network-Specific Corticothalamic Dysconnection in Attention-Deficit Hyperactivity Disorder. Journal of Developmental and Behavioral Pediatrics: Jdbp 42(2): 122-127
Marth, C.J.; Gallego, G.M.; Lee, J.C.; Lebold, T.P.; Kulyk, S.; Kou, K.G.M.; Qin, J.; Lilien, R.; Sarpong, R. 2015: Network-analysis-guided synthesis of weisaconitine D and liljestrandinine. Nature 528(7583): 493-498
Liu, Y.; Brossard, M.; Sarnowski, C.; Vaysse, A.; Moffatt, M.; Margaritte-Jeannin, P.; Llinares-López, F.; Dizier, M.H.; Lathrop, M.; Cookson, W.; Bouzigon, E.; Demenais, F. 2017: Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma. Scientific Reports 7(1): 938
Fang, K.; Zhang, K.; Wang, J. 2015: Network-assisted analysis of primary Sjögren's syndrome GWAS data in Han Chinese. Scientific Reports 5: 18855
Hwang, S.; Kim, C.Yeong.; Ji, S-Gou.; Go, J.; Kim, H.; Yang, S.; Kim, H.Jin.; Cho, A.; Yoon, S.Sun.; Lee, I. 2016: Network-assisted investigation of virulence and antibiotic-resistance systems in Pseudomonas aeruginosa. Scientific Reports 6: 26223
Li, J.; Zimmerman, L.J.; Park, B-Hoon.; Tabb, D.L.; Liebler, D.C.; Zhang, B. 2009: Network-assisted protein identification and data interpretation in shotgun proteomics. Molecular Systems Biology 5: 303
Oskooei, A.; Manica, M.; Mathis, R.; Martínez, Mía.Rodríguez. 2019: Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer. Scientific Reports 9(1): 15918
DiFrancesco, M.W.; Van Dyk, T.; Altaye, M.; Drummond, S.P.A.; Beebe, D.W. 2019: Network-based Responses to the Psychomotor Vigilance Task during Lapses in Adolescents after Short and Extended Sleep. Scientific Reports 9(1): 13913
Du, H.; Chen, F.; Liu, H.; Hong, P. 2021: Network-based virus-host interaction prediction with application to SARS-CoV-2. Patterns 2(5): 100242
Nomura, H.; Uzawa, K.; Yamano, Y.; Fushimi, K.; Ishigami, T.; Kato, Y.; Saito, K.; Nakashima, D.; Higo, M.; Kouzu, Y.; Ono, K.; Ogawara, K.; Shiiba, M.; Bukawa, H.; Yokoe, H.; Tanzawa, H. 2007: Network-based analysis of calcium-binding protein genes identifies Grp94 as a target in human oral carcinogenesis. British Journal of Cancer 97(6): 792-801
Jeong, E.; Ko, K.; Oh, S.; Han, H.Wook. 2017: Network-based analysis of diagnosis progression patterns using claims data. Scientific Reports 7(1): 15561
Farooqui, A.; Alhazmi, A.; Haque, S.; Tamkeen, N.; Mehmankhah, M.; Tazyeen, S.; Ali, S.; Ishrat, R. 2021: Network-based analysis of key regulatory genes implicated in Type 2 Diabetes Mellitus and Recurrent Miscarriages in Turner Syndrome. Scientific Reports 11(1): 10662
Zeng, D.; He, S.; Ma, C.; Wen, Y.; Song, W.; Xu, Q.; Zhao, N.; Wang, Q.; Yu, Y.; Shen, Y.; Huang, J.; Li, H. 2020: Network-based approach to identify molecular signatures in the brains of depressed suicides. Psychiatry Research 294: 113513
Cheng, F.; Desai, R.J.; Handy, D.E.; Wang, R.; Schneeweiss, S.; Barabási, A-László.; Loscalzo, J. 2018: Network-based approach to prediction and population-based validation of in silico drug repurposing. Nature Communications 9(1): 2691
Kim, Y.-A.; Wojtowicz, D.; Sarto Basso, R.; Sason, I.; Robinson, W.; Hochbaum, D.S.; Leiserson, M.D.M.; Sharan, R.; Vadin, F.; Przytycka, T.M. 2020: Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer. Genome Medicine 12(1): 52
Li, Y-Hui.; Zhang, G-Gai. 2017: Network-based characterization and prediction of human DNA repair genes and pathways. Scientific Reports 8: 45714
Iida, M.; Iwata, M.; Yamanishi, Y. 2020: Network-based characterization of disease-disease relationships in terms of drugs and therapeutic targets. Bioinformatics 36(Suppl_1): I516-I524
Chuang, H-Yu.; Lee, E.; Liu, Y-Tsueng.; Lee, D.; Ideker, T. 2007: Network-based classification of breast cancer metastasis. Molecular Systems Biology 3: 140
Zhou, Y.; Hou, Y.; Shen, J.; Huang, Y.; Martin, W.; Cheng, F. 2020: Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2. Cell Discovery 6: 14
Zhou, Y.; Hou, Y.; Shen, J.; Huang, Y.; Martin, W.; Cheng, F. 2020: Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2. Cell Discovery 6(1): 14
Ahmed, K.T.; Park, S.; Jiang, Q.; Yeu, Y.; Hwang, T.; Zhang, W. 2020: Network-based drug sensitivity prediction. Bmc Medical Genomics 13(Suppl 11): 193
Shi, T.C.; Pagliaccio, D.; Cyr, M.; Simpson, H.Blair.; Marsh, R. 2021: Network-based functional connectivity predicts response to exposure therapy in unmedicated adults with obsessive-compulsive disorder. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 2021
Kim, C.Yeong.; Lee, M.; Lee, K.; Yoon, S.Sun.; Lee, I. 2018: Network-based genetic investigation of virulence-associated phenotypes in methicillin-resistant Staphylococcus aureus. Scientific Reports 8(1): 10796
Wu, X.; Jiang, R.; Zhang, M.Q.; Li, S. 2008: Network-based global inference of human disease genes. Molecular Systems Biology 4: 189
Agarwal, A.; Caesar, L.; Marwan, N.; Maheswaran, R.; Merz, B.; Kurths, Jürgen. 2019: Network-based identification and characterization of teleconnections on different scales. Scientific Reports 9(1): 8808
Hu, F.; Wang, Q.; Yang, Z.; Zhang, Z.; Liu, X. 2020: Network-based identification of biomarkers for colon adenocarcinoma. Bmc Cancer 20(1): 668
Guney, E.; Menche, Jörg.; Vidal, M.; Barábasi, A-László. 2016: Network-based in silico drug efficacy screening. Nature Communications 7: 10331
Han, S.Min.; Ryu, H-Myung.; Suh, J.; Lee, K-Joo.; Choi, S-Youn.; Choi, S.; Kim, Y-Lim.; Huh, J.Young.; Ha, H. 2019: Network-based integrated analysis of omics data reveal novel players of TGF-β1-induced EMT in human peritoneal mesothelial cells. Scientific Reports 9(1): 1497
Zhang, W.; Chien, J.; Yong, J.; Kuang, R. 2017: Network-based machine learning and graph theory algorithms for precision oncology. Npj Precision Oncology 1(1): 25
Kong, J.; Lee, H.; Kim, D.; Han, S.Kyu.; Ha, D.; Shin, K.; Kim, S. 2020: Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients. Nature Communications 11(1): 5485
Pandey, N.; Lanke, V.; Vinod, P.K. 2020: Network-based metabolic characterization of renal cell carcinoma. Scientific Reports 10(1): 5955
Bulathsinghalage, C.; Liu, L. 2020: Network-based method for regions with statistically frequent interchromosomal interactions at single-cell resolution. Bmc Bioinformatics 21(Suppl 14): 369
Kim, K-Jo.; Moon, S-Jin.; Park, K-Su. 2020: Network-based modeling of drug effects on disease module in systemic sclerosis. Scientific Reports 10(1): 13393
Meng, Y.; Li, X.; Guan, J. 2021: Network-based pharmacology to predict the mechanism of Ginger and Forsythia combined treatment of viral pneumonia. International Journal of Clinical and Experimental Pathology 14(9): 964-971
Pizzuti, C.; Socievole, A.; Prasse, B.; Van Mieghem, P. 2020: Network-based prediction of COVID-19 epidemic spreading in Italy. Applied Network Science 5(1): 91
Cheng, F.; Kovács, Ián.A.; Barabási, A-László. 2019: Network-based prediction of drug combinations. Nature Communications 10(1): 1197
Shlomi, T.; Cabili, M.N.; Herrgård, M.J.; Palsson, B.Ø.; Ruppin, E. 2008: Network-based prediction of human tissue-specific metabolism. Nature Biotechnology 26(9): 1003-1010
Sharan, R.; Ulitsky, I.; Shamir, R. 2007: Network-based prediction of protein function. Molecular Systems Biology 3: 88
Kovács, Ián.A.; Luck, K.; Spirohn, K.; Wang, Y.; Pollis, C.; Schlabach, S.; Bian, W.; Kim, D-Kyum.; Kishore, N.; Hao, T.; Calderwood, M.A.; Vidal, M.; Barabási, A-László. 2019: Network-based prediction of protein interactions. Nature Communications 10(1): 1240
Newaz, K.; Ghalehnovi, M.; Rahnama, A.; Antsaklis, P.J.; Milenković, T. 2020: Network-based protein structural classification. Royal Society Open Science 7(6): 191461
Casas, C.; Isus, L.; Herrando-Grabulosa, M.; Mancuso, F.M.; Borrás, E.; Sabidó, E.; Forés, J.; Aloy, P. 2015: Network-based proteomic approaches reveal the neurodegenerative, neuroprotective and pain-related mechanisms involved after retrograde axonal damage. Scientific Reports 5: 9185
Beynel, L.; Dannhauer, M.; Palmer, H.; Hilbig, S.A.; Crowell, C.A.; Wang, J.E.-H.; Michael, A.M.; Wood, E.A.; Luber, B.; Lisanby, S.H.; Peterchev, A.V.; Cabeza, R.; Davis, S.W.; Appelbaum, L.G. 2021: Network-based rTMS to modulate working memory: the difficult choice of effective parameters for online interventions. Brain and Behavior 11(11): E2361
Desvaux, E.; Hamon, A.; Hubert, S.; Boudjeniba, C.ïm.; Chassagnol, B.; Swindle, J.; Aussy, A.; Laigle, L.; Laplume, J.; Soret, P.; Jean-François, P.; Dupin-Roger, I.; Guedj, M.ël.; Moingeon, P. 2021: Network-based repurposing identifies anti-alarmins as drug candidates to control severe lung inflammation in COVID-19. Plos one 16(7): E0254374
Ghiassian, S.D.; Withers, J.B.; Santolini, M.; Saleh, A.; Akmaev, V.R. 2022: Network-based response module comprised of gene expression biomarkers predicts response to infliximab at treatment initiation in ulcerative colitis. Translational Research: the Journal of Laboratory and Clinical Medicine 239: 35-43
Merlotti, A.; Menichetti, G.; Fariselli, P.; Capriotti, E.; Remondini, D. 2021: Network-based strategies for protein characterization. Advances in Protein Chemistry and Structural Biology 127: 217-248
Hofree, M.; Shen, J.P.; Carter, H.; Gross, A.; Ideker, T. 2013: Network-based stratification of tumor mutations. Nature Methods 10(11): 1108-1115
Jin, N.; Wu, H.; Miao, Z.; Huang, Y.; Hu, Y.; Bi, X.; Wu, D.; Qian, K.; Wang, L.; Wang, C.; Wang, H.; Li, K.; Li, X.; Wang, D. 2015: Network-based survival-associated module biomarker and its crosstalk with cell death genes in ovarian cancer. Scientific Reports 5: 11566
Gocho, Y.; Liu, J.; Hu, J.; Yang, W.; Dharia, N.V.; Zhang, J.; Shi, H.; Du, G.; John, A.; Lin, T-Nien.; Hunt, J.; Huang, X.; Rowland, L.; Shi, L.; Maxwell, D.; Smart, B.; Crews, K.; Yang, W.; Hagiwara, K.; Zhang, Y.; Roberts, K.; Wang, H.; Jabbour, E.; Stock, W.; Eisfelder, B.; Paietta, E.; Newman, S.; Roti, G.; Litzow, M.; Zhang, J.; Peng, J.; Chi, H.; Pounds, S.; Relling, M.V.; Inaba, H.; Zhu, X.; Kornblau, S.; Pui, C-Hon.; Konopleva, M.; Teachey, D.; Mullighan, C.G.; Stegmaier, K.; Evans, W.E.; Yu, J.; Yang, J 2021: Network-based systems pharmacology reveals heterogeneity in LCK and BCL2 signaling and therapeutic sensitivity of T-cell acute lymphoblastic leukemia. Nature Cancer 2(3): 284-299
Schneider, L.; Guo, Y.-K.; Birch, D.; Sarkies, P. 2021: Network-based visualisation reveals new insights into transposable element diversity. Molecular Systems Biology 17(6): E9600
Cochereau, J.ér.ôm.; Lemaitre, A.-L.; Wager, M.; Moritz-Gasser, S.; Duffau, H.; Herbet, G. 2020: Network-behavior mapping of lasting executive impairments after low-grade glioma surgery. Brain Structure and Function 225(8): 2415-2429
Kaleb, K.; Pedrosa, V.; Clopath, C. 2021: Network-centered homeostasis through inhibition maintains hippocampal spatial map and cortical circuit function. Cell Reports 36(8): 109577
Powell, F.; Tosun, D.; Raj, A. 2021: Network-constrained technique to characterize pathology progression rate in Alzheimer's disease. Brain Communications 3(3): Fcab 144
Xian, W-Dong.; Salam, N.; Li, M-Meng.; Zhou, E-Min.; Yin, Y-Rui.; Liu, Z-Tao.; Ming, Y-Zhen.; Zhang, X-Tong.; Wu, G.; Liu, L.; Xiao, M.; Jiang, H-Chen.; Li, W-Jun. 2020: Network-directed efficient isolation of previously uncultivated Chloroflexi and related bacteria in hot spring microbial mats. Npj Biofilms and Microbiomes 6(1): 20
Wang, X.; Wu, H.; Wang, X.; Wang, H.; Zhao, K.; Ma, B.; Lu, Z. 2021: Network-directed isolation of the cooperator Pseudomonas aeruginosa ZM03 enhanced the dibutyl phthalate degradation capacity of Arthrobacter nicotianae ZM05 under pH stress. Journal of Hazardous Materials 410: 124667
Waite, D.W.; Dsouza, M.; Sekiguchi, Y.; Hugenholtz, P.; Taylor, M.W. 2018: Network-guided genomic and metagenomic analysis of the faecal microbiota of the critically endangered kakapo. Scientific Reports 8(1): 8128
Hellmann, F.; Schultz, P.; Jaros, P.; Levchenko, R.; Kapitaniak, T.; Kurths, Jürgen.; Maistrenko, Y. 2020: Network-induced multistability through lossy coupling and exotic solitary states. Nature Communications 11(1): 592
Prasse, B.; Achterberg, M.A.; Ma, L.; Van Mieghem, P. 2020: Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei. Applied Network Science 5(1): 35
Momi, D.; Ozdemir, R.A.; Tadayon, E.; Boucher, P.; Shafi, M.M.; Pascual-Leone, A.; Santarnecchi, E. 2021: Network-level macroscale structural connectivity predicts propagation of transcranial magnetic stimulation. Neuroimage 229: 117698
Mandonnet, E.; Vincent, M.; Valero-Cabré, A.; Facque, V.; Barberis, M.; Bonnetblanc, F.ço.; Rheault, F.ço.; Volle, E.; Descoteaux, M.; Margulies, D.S. 2020: Network-level causal analysis of set-shifting during trail making test part B: a multimodal analysis of a glioma surgery case. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior 132: 238-249
Preston, E.F.R.; Thompson, F.J.; Ellis, S.; Kyambulima, S.; Croft, D.P.; Cant, M.A. 2021: Network-level consequences of outgroup threats in banded mongooses: Grooming and aggression between the sexes. Journal of Animal Ecology 90(1): 153-167
Feng, Y.; Wang, Y.F.; Zheng, L.J.; Shi, Z.; Huang, W.; Zhang, L.J. 2020: Network-level functional connectivity alterations in chemotherapy treated breast cancer patients: a longitudinal resting state functional MRi study. Cancer Imaging: the Official Publication of the International Cancer Imaging Society 20(1): 73
Qin, K.; Lei, D.; Yang, J.; Li, W.; Tallman, M.J.; Duran, L.R.P.; Blom, T.J.; Bruns, K.M.; Cotton, S.; Sweeney, J.A.; Gong, Q.; DelBello, M.P. 2021: Network-level functional topological changes after mindfulness-based cognitive therapy in mood dysregulated adolescents at familial risk for bipolar disorder: a pilot study. Bmc Psychiatry 21(1): 213
Sehatpour, P.; Dondé, C.ém.; Hoptman, M.J.; Kreither, J.; Adair, D.; Dias, E.; Vail, B.; Rohrig, S.; Silipo, G.; Lopez-Calderon, J.; Martinez, A.; Javitt, D.C. 2020: Network-level mechanisms underlying effects of transcranial direct current stimulation (tDCS) on visuomotor learning. Neuroimage 223: 117311
Karimi, M.; Hasanzadeh, A.; Shen, Y. 2020: Network-principled deep generative models for designing drug combinations as graph sets. Bioinformatics 36(Suppl_1): I445-I454
Vea, I.M.; Shingleton, A.W. 2021: Network-regulated organ allometry: the developmental regulation of morphological scaling. Wiley Interdisciplinary Reviews. Developmental Biology 10(3): E391
Xia, J.; Gill, E.E.; Hancock, R.E.W. 2015: NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data. Nature Protocols 10(6): 823-844
Mao, R.; Chen, M-Hu. 2018: Networked Clinical Study Collaboration on Inflammatory Bowel Disease in China. American Journal of Gastroenterology 113(8): 1266
Gamalo, M. 2021: Networked knowledge, combinatorial creativity, and (statistical) innovation. Journal of Biopharmaceutical Statistics 2021: 1-5
Inokuma, Y.; Arai, T.; Fujita, M. 2010: Networked molecular cages as crystalline sponges for fullerenes and other guests. Nature Chemistry 2(9): 780-783
Radicioni, T.; Squartini, T.; Pavan, E.; Saracco, F. 2021: Networked partisanship and framing: a socio-semantic network analysis of the Italian debate on migration. Plos one 16(8): E0256705
Mei, S.; Zhou, J.; Sun, H.-T.; Cai, Y.; Sun, L.-D.; Jin, D.; Yan, C.-H. 2021: Networking State of Ytterbium Ions Probing the Origin of Luminescence Quenching and Activation in Nanocrystals. Advanced Science 8(6): 2003325
Yano, H.; Alam, M.Z.; Rimbara, E.; Shibata, T.F.; Fukuyo, M.; Furuta, Y.; Nishiyama, T.; Shigenobu, S.; Hasebe, M.; Toyoda, A.; Suzuki, Y.; Sugano, S.; Shibayama, K.; Kobayashi, I. 2020: Networking and Specificity-Changing DNA Methyltransferases in Helicobacter pylori. Frontiers in Microbiology 11: 1628
El-Khoury, J.M. 2017: Networking and the Career Opportunities it Affords in Clinical Chemistry. Journal of Applied Laboratory Medicine 2(2): 284-285
Stangeland, M. 1987: Networking and working with a mentor: keys to eliciting support for clinical research as a staff nurse. Heart and Lung: the Journal of Critical Care 16(3): 341
Pieterse, Cé.M.J.; Leon-Reyes, A.; Van der Ent, S.; Van Wees, S.C.M. 2009: Networking by small-molecule hormones in plant immunity. Nature Chemical Biology 5(5): 308-316
Caramelli, D.; Salley, D.; Henson, A.; Camarasa, G.Aragon.; Sharabi, S.; Keenan, G.; Cronin, L. 2018: Networking chemical robots for reaction multitasking. Nature Communications 9(1): 3406
Weidmann, M.; Hufert, F.; Elschner, M.; Silman, N.; Mirazimi, A.; de Girón, F.Morejón.; Butaye, P. 2009: Networking for BSL-3/4 laboratory scientist training. Nature Reviews. Microbiology 7(10): 756
Ippolito, G.; Nisii, C.; Capobianchi, M.R. 2008: Networking for infectious-disease emergencies in Europe. Nature Reviews. Microbiology 6(7): 564
Ainsworth, C. 2011: Networking for new drugs. Nature Medicine 17(10): 1166-1168
Chakradhar, S. 2016: Networking for resistance detection: FDA and CDC build repository of drug-resistant microbes. Nature Medicine 22(8): 826-827
Huang, Y.; Huang, J.; Xia, H.; Shi, Y.; Ma, H.; Yuan, Z. 2019: Networking for training Level 3/4 biosafety laboratory staff. Journal of Biosafety and Biosecurity 1(1): 46-49
Saghatelian, A. 2020: Networking in Circulation: Lipoproteins, PM20D1, and N-acyl Amino Acid Bioactivity. Cell Chemical Biology 27(9): 1112-1113
Veenstra-VanderWeele, J.; Blakely, R.D. 2012: Networking in autism: leveraging genetic, biomarker and model system findings in the search for new treatments. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 37(1): 196-212
Wang, S.; Wang, C.-Y.; Wang, P.; Wang, C.; Li, Z.-A.; Pan, C.; Dai, Y.; Gao, A.; Liu, C.; Liu, J.; Yang, H.; Liu, X.; Cheng, B.; Chen, K.; Wang, Z.; Watanabe, K.; Taniguchi, T.; Liang, S.-J.; Miao, F. 2021: Networking retinomorphic sensor with memristive crossbar for brain-inspired visual perception. National Science Review 8(2): Nwaa 172
Weinberg, J. 1995: Networking your way to a new job? Realize its limitations. Pennsylvania Nurse 50(1): 20
Watanabe, M. 2004: Networking, networking, networking, networking, networking. Nature 430(7001): 812-813
Gammon, K. 2010: Networking: Four ways to reinvent the Internet. Nature 463(7281): 602-604
Maxmen, A. 2013: Networking: Real connections. Nature 499(7457): 243-245
Liao, H.; Cai, S.; Shen, Q.; Fan, J.; Wang, T.; Zi, Y.; Mao, Z.; Situ, W.; Liu, J.; Zou, T.; Yi, J.; Zhu, X.; Tan, C. 2020: Networks Are Associated with Depression in Patients with Parkinson's Disease: a Resting-State Imaging Study. Frontiers in Neuroscience 14: 573538
Schwartz, M.A.; Ginsberg, M.H. 2002: Networks and crosstalk: integrin signalling spreads. Nature Cell Biology 4(4): E65-E68
Baghi, H.Bannazadeh. 2018: Networks and mentors help female scientists in Africa and Middle East. Nature 563(7731): 325
Shen, Z.; Han, X.; Xu, Z.; Niethammer, M. 2019: Networks for Joint Affine and Non-parametric Image Registration. PROCEEDINGS. IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019: 4219-4228
Harvey, L.; Bruce, J.; de Wolf, A.; Wyndaele, J.J. 2014: Networks for SCI healthcare professionals. Spinal Cord 52(8): 577
Yeh, P.; Kishony, R. 2007: Networks from drug-drug surfaces. Molecular Systems Biology 3: 85
Molkenthin, N.; Rehfeld, K.; Marwan, N.; Kurths, Jürgen. 2014: Networks from flows--from dynamics to topology. Scientific Reports 4: 4119
Barot, N. 2020: Networks in Frontal Lobe Epilepsy. Neurosurgery Clinics of North America 31(3): 319-324
González Otárula, K.A.; Schuele, S. 2020: Networks in Temporal Lobe Epilepsy. Neurosurgery Clinics of North America 31(3): 309-317
Kleimaker, A.; Kleimaker, M.; Behm, A.; Weissbach, A.; Bäumer, T.; Beste, C.; Roessner, V.; Münchau, A. 2021: Networks in the Field of Tourette Syndrome. Frontiers in Neurology 12: 624858
Soundararajan, V.; Zheng, S.; Patel, N.; Warnock, K.; Raman, R.; Wilson, I.A.; Raguram, S.; Sasisekharan, V.; Sasisekharan, R. 2011: Networks link antigenic and receptor-binding sites of influenza hemagglutinin: mechanistic insight into fitter strain propagation. Scientific Reports 1: 200
Lee, C.A.; Goh, P.K.; Shelton, C.R.; Hartung, C.M. 2022: Networks of ADHD and SCT Symptoms in Emerging Adulthood. Journal of Attention Disorders 26(7): 991-1000
Saberski, E.; Bock, A.K.; Goodridge, R.; Agarwal, V.; Lorimer, T.; Rifkin, S.A.; Sugihara, G. 2021: Networks of Causal Linkage Between Eigenmodes Characterize Behavioral Dynamics of Caenorhabditis elegans. Plos Computational Biology 17(9): E1009329
Seabright, G.E.; Cottrell, C.A.; van Gils, M.J.; D'addabbo, A.; Harvey, D.J.; Behrens, A.-J.; Allen, J.D.; Watanabe, Y.; Scaringi, N.; Polveroni, T.M.; Maker, A.; Vasiljevic, S.; de Val, N.; Sanders, R.W.; Ward, A.B.; Crispin, M. 2020: Networks of HIV-1 Envelope Glycans Maintain Antibody Epitopes in the Face of Glycan Additions and Deletions. Structure 28(8): 897-909.E6
Uversky, V.N.; Giuliani, A. 2021: Networks of Networks: An Essay on Multi-Level Biological Organization. Frontiers in Genetics 12: 706260
Mediati, D.G.; Wu, S.; Wu, W.; Tree, J.J. 2021: Networks of Resistance: Small RNA Control of Antibiotic Resistance. Trends in Genetics: Tig 37(1): 35-45
Cevik, M.; Baral, S.D. 2021: Networks of SARS-CoV-2 transmission. Science 373(6551): 162-163
Jeffries, C.D.; Perkins, D.O.; Fournier, M.; Do, K.Q.; Cuenod, M.; Khadimallah, I.; Domenici, E.; Addington, J.; Bearden, C.E.; Cadenhead, K.S.; Cannon, T.D.; Cornblatt, B.A.; Mathalon, D.H.; McGlashan, T.H.; Seidman, L.J.; Tsuang, M.; Walker, E.F.; Woods, S.W. 2018: Networks of blood proteins in the neuroimmunology of schizophrenia. Translational Psychiatry 8(1): 112
He, Q.; Pilosof, S.; Tiedje, K.E.; Ruybal-Pesántez, S.; Artzy-Randrup, Y.; Baskerville, E.B.; Day, K.P.; Pascual, M. 2018: Networks of genetic similarity reveal non-neutral processes shape strain structure in Plasmodium falciparum. Nature Communications 9(1): 1817
Malgaroli, M.; Calderon, A.; Bonanno, G.A. 2021: Networks of major depressive disorder: a systematic review. Clinical Psychology Review 85: 102000
Karlsson, A.; Karlsson, R.; Karlsson, M.; Cans, A.S.; Strömberg, A.; Ryttsén, F.; Orwar, O. 2001: Networks of nanotubes and containers. Nature 409(6817): 150-152
Vivaldo, G.; Masi, E.; Pandolfi, C.; Mancuso, S.; Caldarelli, G. 2016: Networks of plants: how to measure similarity in vegetable species. Scientific Reports 6: 27077
Takács, K.ár.; Gross, J.ör.; Testori, M.; Letina, S.; Kenny, A.R.; Power, E.A.; Wittek, R.P.M. 2021: Networks of reliable reputations and cooperation: a review. Philosophical Transactions of the Royal Society of London. Series B Biological Sciences 376(1838): 20200297
Nanikashvili, I.; Zarai, Y.; Ovseevich, A.; Tuller, T.; Margaliot, M. 2019: Networks of ribosome flow models for modeling and analyzing intracellular traffic. Scientific Reports 9(1): 1703
Pannicke, B.ör.; Kaiser, T.; Reichenberger, J.; Blechert, J. 2021: Networks of stress, affect and eating behaviour: anticipated stress coping predicts goal-congruent eating in young adults. International Journal of Behavioral Nutrition and Physical Activity 18(1): 9
Underwood, R.; Tolmeijer, E.; Wibroe, J.; Peters, E.; Mason, L. 2021: Networks underpinning emotion: a systematic review and synthesis of functional and effective connectivity. Neuroimage 243: 118486
Mader, W.; Mader, M.; Timmer, J.; Thiel, M.; Schelter, Börn. 2015: Networks: On the relation of bi- and multivariate measures. Scientific Reports 5: 10805
Redner, S. 2008: Networks: teasing out the missing links. Nature 453(7191): 47-48
Salkeni, M.A.; Rizvi, W.; Hein, K.; Higa, G.M. 2021: Neu Perspectives, Therapies, and Challenges for Metastatic HER2-Positive Breast Cancer. Breast Cancer 13: 539-557
Castagnino, P.; Lorenzi, M.V.; Yeh, J.; Breckenridge, D.; Sakata, H.; Munz, B.; Werner, S.; Bottaro, D.P. 2000: Neu differentiation factor/heregulin induction by hepatocyte and keratinocyte growth factors. Oncogene 19(5): 640-648
Mansfield, K.P.; Naik, S. 2021: Neu(ronal) custodians of cutaneous immunity. Cell 184(8): 1968-1970
Berman-Golan, D.; Elson, A. 2007: Neu-mediated phosphorylation of protein tyrosine phosphatase epsilon is critical for activation of Src in mammary tumor cells. Oncogene 26(49): 7028-7037
Kijimoto-Ochiai, S.; Kamimura, K.; Koda, T. 2019: Neu-medullocytes, sialidase-positive B cells in the thymus, express autoimmune regulator (AIRE). Scientific Reports 9(1): 858
Ikeda, A.; Komamizu, M.; Hayashi, A.; Yamasaki, C.; Okada, K.; Kawabe, M.; Komatsu, M.; Shiozaki, K. 2021: Neu1 deficiency induces abnormal emotional behavior in zebrafish. Scientific Reports 11(1): 13477
Symvoulidis, P.; Lauri, A.; Stefanoiu, A.; Cappetta, M.; Schneider, S.; Jia, H.; Stelzl, A.; Koch, M.; Perez, C.Cruz.; Myklatun, A.; Renninger, S.; Chmyrov, A.; Lasser, T.; Wurst, W.; Ntziachristos, V.; Westmeyer, G.G. 2017: NeuBtracker-imaging neurobehavioral dynamics in freely behaving fish. Nature Methods 14(11): 1079-1082
Arikan, A.; Sayan, M.; Doluca, O. 2020: NeuMoDx random access molecular diagnostic system for detection and quantification of hepatitis B virus in clinical samples. Journal of Infection in Developing Countries 14(10): 1197-1203
de Los Santos, E.L.C. 2019: NeuRiPP: Neural network identification of RiPP precursor peptides. Scientific Reports 9(1): 13406
Jubin, S. 2014: Neuchatel: Hospital reform debate revived. Revue Medicale Suisse 10(444): 1846
Spillman-Fürst, I. 2000: Neuer Markt drives IPOs in Europe. Nature Biotechnology 18(5): 488-489
Montano, A.-R. 2021: Neuman Systems Model with Nurse-Led Interprofessional Collaborative Practice. Nursing Science Quarterly 34(1): 45-53
Pestana-Santos, M.ár.; Santos, M.d.S.R.; Cabral, I.E.; Sousa, P.C.; Lomba, M.d.L.L.d.F. 2021: Neuman Systems Model in perioperative nursing care for adolescents with juvenile idiopathic scoliosis. Revista da Escola de Enfermagem da U S P 55: E03711
Conejo Mir, J.; Conde, J.M.; Calvente, D. 1946: Neumann's vegetative pemphigus; Vegetative pyodermitis from Hallopeau. Actas Dermo-Sifiliograficas 37: 509-514
Patiño-Galeana, J.é L.; Reveles-García, M.ía.P.; Niño-Rodríguez, C.M.; Suárez-Ramírez, K.; Rentería-Solis, I.E. 2021: Spontaneous pneumomediastinum associated with severe and persistent episode of hiccups. Boletin Medico del Hospital Infantil de Mexico 78(5): 485-488
Hasegawa, T.; Muraoka, Y.; Ikeda, H.Ohashi.; Tsuruyama, T.; Kondo, M.; Terasaki, H.; Kakizuka, A.; Yoshimura, N. 2016: Neuoroprotective efficacies by KUS121, a VCP modulator, on animal models of retinal degeneration. Scientific Reports 6: 31184
Lee, J.; Yoon, K.-J.; Park, P.; Lee, C.; Kim, M.J.; Han, D.H.; Kim, J.-I.; Kim, S.; Lee, H.-R.; Lee, Y.; Jang, E.-H.; Ko, H.-G.; Kong, Y.-Y.; Kaang, B.-K. 2020: Neur1 and Neur2 are required for hippocampus-dependent spatial memory and synaptic plasticity. Hippocampus 30(11): 1158-1166
Maruska, K.P.; Butler, J.M.; Field, K.E.; Forester, C.; Augustus, A. 2020: Neural Activation Patterns Associated with Maternal Mouthbrooding and Energetic State in an African Cichlid Fish. Neuroscience 446: 199-212
Zahid, Z.; McMahon, L.; Lynch, M. 2020: Neural Activity Across the Dorsolateral Prefrontal Cortex and Risk for Suicidal Ideation and Self-Injury. Archives of Suicide Research: Official Journal of the International Academy for Suicide Research 2020: 1-21
Hawco, C.; Kovacevic, N.; Malhotra, A.K.; Buchanan, R.W.; Viviano, J.D.; Iacoboni, M.; McIntosh, A.R.; Voineskos, A.N. 2017: Neural Activity while Imitating Emotional Faces is Related to Both Lower and Higher-Level Social Cognitive Performance. Scientific Reports 7(1): 1244
Song, A.; Gauthier, J.L.; Pillow, J.W.; Tank, D.W.; Charles, A.S. 2021: Neural anatomy and optical microscopy (NAOMi) simulation for evaluating calcium imaging methods. Journal of Neuroscience Methods 358: 109173
Ruff, A.N.; Cornelson, S.M.; Wells, C.B.; Kettner, N.W. 2019: Neural Arch Bone Marrow Edema and Spondylolysis in Adolescent Cheerleaders: a Case Series. Journal of Chiropractic Medicine 18(4): 335-342
Yan, J.; Chen, S.; Zhang, Y.; Li, X. 2020: Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction. Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society 85: 101784
Bien, C.G.; Rohleder, C.; Mueller, J.K.; Bien, C.I.; Koethe, D.; Leweke, F.M. 2021: Neural Autoantibodies in Cerebrospinal Fluid and Serum in Clinical High Risk for Psychosis, First-Episode Psychosis, and Healthy Volunteers. Frontiers in Psychiatry 12: 654602
Liu, C.; Song, Z.; Shi, R. 2021: Neural Bases of Brand Reputation Effect on Extension Evaluation: An ERPs Study. Frontiers in Neuroscience 15: 704459
Irie, K.; Matsumoto, A.; Zhao, S.; Kato, T.; Liang, N. 2021: Neural Basis and Motor Imagery Intervention Methodology Based on Neuroimaging Studies in Children with Developmental Coordination Disorders: a Review. Frontiers in Human Neuroscience 15: 620599
Honda, M. 2020: Neural Basis of "Breath of Aun". Brain and Nerve 72(11): 1283-1293
Kim, B.-H.; Shin, Y.-B.; Kyeong, S.; Lee, S.-K.; Kim, J.-J. 2020: Neural Basis of Ambivalence towards Ideal Self-Image in Schizophrenia. Psychiatry Investigation 17(5): 452-459
Ide, M.; Atsumi, T.; Chakrabarty, M.; Yaguchi, A.; Umesawa, Y.; Fukatsu, R.; Wada, M. 2020: Neural Basis of Extremely High Temporal Sensitivity: Insights from a Patient with Autism. Frontiers in Neuroscience 14: 340
Zhuang, J.-Y.; Wang, J.-X.; Lei, Q.; Zhang, W.; Fan, M. 2020: Neural Basis of Increased Cognitive Control of Impulsivity During the Mid-Luteal Phase Relative to the Late Follicular Phase of the Menstrual Cycle. Frontiers in Human Neuroscience 14: 568399
Paulus, M.P. 2016: Neural Basis of Mindfulness Interventions that Moderate the Impact of Stress on the Brain. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 41(1): 373
Ishibashi, M.; Moriguchi, Y. 2021: Neural Basis of Scale Errors in Young Children. Developmental Neuropsychology 2021: 1-12
Chen, D.; Jia, T.; Zhang, Y.; Cao, M.; Loth, E.; Lo, C.-Y.Z.; Cheng, W.; Liu, Z.; Gong, W.; Sahakian, B.J.; Feng, J. 2021: Neural Biomarkers Distinguish Severe from Mild Autism Spectrum Disorder Among High-Functioning Individuals. Frontiers in Human Neuroscience 15: 657857
Shao, J.; Liu, Y.; Gao, D.; Tu, J.; Yang, F. 2021: Neural Burst Firing and its Roles in Mental and Neurological Disorders. Frontiers in Cellular Neuroscience 15: 741292
Cheng, B.-F.; Feng, X.; Gao, Y.-X.; Jian, S.-Q.; Liu, S.-R.; Wang, M.; Xie, Y.-F.; Wang, L.; Feng, Z.-W.; Yang, H.-J. 2021: Neural Cell Adhesion Molecule Regulates Osteoblastic Differentiation Through Wnt/β-Catenin and PI3K-Akt Signaling Pathways in MC3T3-E1 Cells. Frontiers in Endocrinology 12: 657953
Fiori, S.; Pannek, K.; Podda, I.; Cipriani, P.; Lorenzoni, V.; Franchi, B.; Pasquariello, R.; Guzzetta, A.; Cioni, G.; Chilosi, A. 2021: Neural Changes Induced by a Speech Motor Treatment in Childhood Apraxia of Speech: a Case Series. Journal of Child Neurology 36(11): 958-967
Yu, Z.-X.; Li, X.-Y.; Xu, X.-H. 2020: Neural Circuit Mechanisms that Underlie Parental Care. Advances in Experimental Medicine and Biology 1284: 49-62
Stern, E.R. 2014: Neural Circuitry of Interoception: new Insights into Anxiety and Obsessive-Compulsive Disorders. Current Treatment Options in Psychiatry 1(3): 235-247
Ren, C.; Tao, Q. 2020: Neural Circuits Underlying Innate Fear. Advances in Experimental Medicine and Biology 1284: 1-7
Edwards, S.C.; Hall, Z.J.; Ihalainen, E.; Bishop, V.R.; Nicklas, E.T.; Healy, S.D.; Meddle, S.L. 2020: Neural Circuits Underlying Nest Building in Male Zebra Finches. Integrative and Comparative Biology 60(4): 943-954
Zhang, W. 2020: Neural Circuits for Reward. Advances in Experimental Medicine and Biology 1284: 35-41
Wu, Y.; Wang, L.; Yang, F.; Xi, W. 2020: Neural Circuits for Sleep-Wake Regulation. Advances in Experimental Medicine and Biology 1284: 91-112
Berntson, G.G.; Khalsa, S.S. 2021: Neural Circuits of Interoception. Trends in Neurosciences 44(1): 17-28
Guo, W.; Fouda, M.E.; Eltawil, A.M.; Salama, K.N. 2021: Neural Coding in Spiking Neural Networks: a Comparative Study for Robust Neuromorphic Systems. Frontiers in Neuroscience 15: 638474
Troyer, T. 2021: Neural Coding: Axonal Delays make Waves. Current Biology: Cb 31(3): R136-R137
Parisi, V.; Ziccardi, L.; Tanga, L.; Roberti, G.; Barbano, L.; Carnevale, C.; Manni, G.; Oddone, F. 2021: Neural Conduction Along Postretinal Visual Pathways in Glaucoma. Frontiers in Aging Neuroscience 13: 697425
Price, R.B.; Beltz, A.M.; Woody, M.L.; Cummings, L.; Gilchrist, D.; Siegle, G.J. 2020: Neural Connectivity Subtypes Predict Discrete Attentional Bias Profiles Among Heterogeneous Anxiety Patients. Clinical Psychological Science: a Journal of the Association for Psychological Science 8(3): 491-505
Duffau, H. 2021: Neural Connectivity: how to Reinforce the Bidirectional Synapse Between Basic Neuroscience and Routine Neurosurgical Practice?. Frontiers in Neurology 12: 705135
Sato, S.; Choi, J.T. 2022: Neural Control of Human Locomotor Adaptation: Lessons about Changes with Aging. Neuroscientist: a Review Journal Bringing Neurobiology Neurology and Psychiatry 28(5): 469-484
Bao, Q.; Zhang, L.J.; Liang, Y.; Zhou, Y.B.; Shi, G.L. 2020: Neural Correlate Differences in Number Sense Between Children with Low and Middle/High Socioeconomic Status. Frontiers in Psychology 11: 534367
Chaarani, B.; Kan, K.-J.; Mackey, S.; Spechler, P.A.; Potter, A.; Banaschewski, T.; Millenet, S.; Bokde, A.L.W.; Bromberg, U.; Büchel, C.; Cattrell, A.; Conrod, P.J.; Desrivières, S.; Flor, H.; Frouin, V.; Gallinat, J.ür.; Gowland, P.; Heinz, A.; Ittermann, B.; Martinot, J.-L.; Nees, F.; Paus, T.áš; Poustka, L.; Smolka, M.N.; Walter, H.; Whelan, R.; Stringaris, A.; Higgins, S.T.; Schumann, G.; Garavan, H.; Althoff, R.R.; Rapp, D.M.; Artiges, D.E.; Schneider, S.; Bach, C.; Paus, D.T.; Barbot, A.; Barker, D.G.; Bokde, D.A.; Vetter, D.N.; Büchel, D.C.; Cattrell, D.A.; Constant, P.; Gowland, P.; Crombag, D.H.; Czech, K.; Dalley, D.J.; Decideur, B.; Spranger, T.; Ripley, D.T.; Heym, D.N.; Flor, H.; Sommer, D.W.; Fuchs, B.; Gallinat, D.J.ü 2020: Neural Correlates of Adolescent Irritability and its Comorbidity with Psychiatric Disorders. Journal of the American Academy of Child and Adolescent Psychiatry 59(12): 1371-1379
Berger, A.; Steinberg, F.; Thomas, F.; Doppelmayr, M. 2020: Neural Correlates of Age-Related Changes in Precise Grip Force Regulation: a Combined EEG-fNIRS Study. Frontiers in Aging Neuroscience 12: 594810
Cha, J.; Fekete, T.; Siciliano, F.; Biezonski, D.; Greenhill, L.; Pliszka, S.R.; Blader, J.C.; Roy, A.Krain.; Leibenluft, E.; Posner, J. 2015: Neural Correlates of Aggression in Medication-Naive Children with ADHD: Multivariate Analysis of Morphometry and Tractography. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 40(7): 1717-1725
Yordanova, J.; Gajewski, P.D.; Getzmann, S.; Kirov, R.; Falkenstein, M.; Kolev, V. 2021: Neural Correlates of Aging-Related Differences in Pro-active Control in a Dual Task. Frontiers in Aging Neuroscience 13: 682499
Zaky, M.H.; Shoorangiz, R.; Poudel, G.R.; Yang, L.; Jones, R.D. 2020: Neural Correlates of Attention Lapses During Continuous Tasks. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020: 3196-3199
Lei, M.; Ding, Y.; Meng, Q. 2021: Neural Correlates of Attentional Modulation of Prepulse Inhibition. Frontiers in Human Neuroscience 15: 649566
Razak, K.A.; Binder, D.K.; Ethell, I.M. 2021: Neural Correlates of Auditory Hypersensitivity in Fragile X Syndrome. Frontiers in Psychiatry 12: 720752
Kang, H.; Auksztulewicz, R.; An, H.; Abi Chacra, N.; Sutter, M.L.; Schnupp, J.W.H. 2021: Neural Correlates of Auditory Pattern Learning in the Auditory Cortex. Frontiers in Neuroscience 15: 610978
Frankenberg, C.; Pantel, J.; Haberkorn, U.; Degen, C.; Buchsbaum, M.S.; Herold, C.J.; Schröder, J. 2021: Neural Correlates of Autobiographical Memory: Evidence from a Positron Emission Tomography Study in Patients with Mild Cognitive Impairment and Alzheimer's Disease. Frontiers in Psychiatry 12: 730713
Saetta, G.; Hänggi, J.ür.; Gandola, M.; Zapparoli, L.; Salvato, G.; Berlingeri, M.; Sberna, M.; Paulesu, E.; Bottini, G.; Brugger, P. 2021: Neural Correlates of Body Integrity Dysphoria. Current Biology: Cb 31(16): 3702
Feng, W.; Wang, W.; Liu, J.; Wang, Z.; Tian, L.; Fan, L. 2021: Neural Correlates of Causal Inferences in Discourse Understanding and Logical Problem-Solving: a Meta-Analysis Study. Frontiers in Human Neuroscience 15: 666179
Zhao, R.; Su, Q.; Chen, Z.; Sun, H.; Liang, M.; Xue, Y. 2020: Neural Correlates of Cognitive Dysfunctions in Cervical Spondylotic Myelopathy Patients: a Resting-State fMRi Study. Frontiers in Neurology 11: 596795
Snyder, K.A. 2010: Neural Correlates of Encoding Predict Infants' Memory in the Paired-Comparison Procedure. Infancy: the Official Journal of the International Society on Infant Studies 15(3): 270-299
Guidotti, L.; Negroni, D.; Sironi, L.; Stecco, A. 2022: Neural Correlates of Esophageal Speech: An fMRi Pilot Study. Journal of Voice: Official Journal of the Voice Foundation 36(2): 288.E1-288.E14
Yau, Y.; Dadar, M.; Taylor, M.; Zeighami, Y.; Fellows, L.K.; Cisek, P.; Dagher, A. 2020: Neural Correlates of Evidence and Urgency During Human Perceptual Decision-Making in Dynamically Changing Conditions. Cerebral Cortex 30(10): 5471-5483
Henderson, J.M.; Goold, J.E.; Choi, W.; Hayes, T.R. 2020: Neural Correlates of Fixated Low- and High-level Scene Properties during Active Scene Viewing. Journal of Cognitive Neuroscience 32(10): 2013-2023
Marquez, J.S.; Hasan, S.M.S.; Siddiquee, M.R.; Luca, C.C.; Mishra, V.R.; Mari, Z.; Bai, O. 2020: Neural Correlates of Freezing of Gait in Parkinson's Disease: An Electrophysiology Mini-Review. Frontiers in Neurology 11: 571086
Shpurov, I.Y.; Vlasova, R.M.; Rumshiskaya, A.D.; Rozovskaya, R.I.; Mershina, E.A.; Sinitsyn, V.E.; Pechenkova, E.V. 2020: Neural Correlates of Group Versus Individual Problem Solving Revealed by fMRi. Frontiers in Human Neuroscience 14: 290
Zhang, Z.; Zeidman, P.; Nelissen, N.; Filippini, N.; Diedrichsen, J.ör.; Bracci, S.; Friston, K.; Rounis, E. 2021: Neural Correlates of Hand-Object Congruency Effects during Action Planning. Journal of Cognitive Neuroscience 33(8): 1487-1503
Mueller, S.Verena.; Morishima, Y.; Schwab, S.; Wiest, R.; Federspiel, A.; Hasler, G. 2018: Neural Correlates of Impaired Reward-Effort Integration in Remitted Bulimia Nervosa. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 43(4): 868-876
Grooms, D.R.; Criss, C.R.; Simon, J.E.; Haggerty, A.L.; Wohl, T.R. 2020: Neural Correlates of Knee Extension and Flexion Force Control: a Kinetically-Instrumented Neuroimaging Study. Frontiers in Human Neuroscience 14: 622637
Marin-Garcia, E.; Mattfeld, A.T.; Gabrieli, J.D.E. 2021: Neural Correlates of Long-Term Memory Enhancement Following Retrieval Practice. Frontiers in Human Neuroscience 15: 584560
Yang, J.; Wu, D.; Luo, J.; Xie, S.; Chang, C.; Li, H. 2020: Neural Correlates of Mental Rotation in Preschoolers with High or Low Working Memory Capacity: An fNIRS Study. Frontiers in Psychology 11: 568382
Vucurovic, K.; Caillies, S.ép.; Kaladjian, A. 2021: Neural Correlates of Mentalizing in Individuals with Clinical High Risk for Schizophrenia: ALE Meta-Analysis. Frontiers in Psychiatry 12: 634015
Matsuoka, T.; Ueno, D.; Ismail, Z.; Rubinstein, E.; Uchida, H.; Mimura, M.; Narumoto, J. 2021: Neural Correlates of Mild Behavioral Impairment: a Functional Brain Connectivity Study Using Resting-State Functional Magnetic Resonance Imaging. Journal of Alzheimer's Disease: Jad 83(3): 1221-1231
Bootsma, J.M.; Caljouw, S.R.; Veldman, M.P.; Maurits, N.M.; Rothwell, J.C.; Hortobágyi, T. 2021: Neural Correlates of Motor Skill Learning Are Dependent on Both Age and Task Difficulty. Frontiers in Aging Neuroscience 13: 643132
Meijer, G.T.; Marchesi, P.; Mejias, J.F.; Montijn, J.S.; Lansink, C.S.; Pennartz, C.M.A. 2020: Neural Correlates of Multisensory Detection Behavior: Comparison of Primary and Higher-Order Visual Cortex. Cell Reports 31(6): 107636
Sendhilnathan, N.; Semework, M.; Goldberg, M.E.; Ipata, A.E. 2020: Neural Correlates of Reinforcement Learning in Mid-lateral Cerebellum. Neuron 106(6): 1055
Lee, S.-M.; Henson, R.N.; Lin, C.-Y. 2020: Neural Correlates of Repetition Priming: a Coordinate-Based Meta-Analysis of fMRi Studies. Frontiers in Human Neuroscience 14: 565114
Safron, A.; Sylva, D.; Klimaj, V.; Rosenthal, A.M.; Li, M.; Walter, M.; Bailey, J.Michael. 2017: Neural Correlates of Sexual Orientation in Heterosexual, Bisexual, and Homosexual Men. Scientific Reports 7: 41314
Safron, A.; Klimaj, V.; Sylva, D.; Rosenthal, A.M.; Li, M.; Walter, M.; Bailey, J.Michael. 2018: Neural Correlates of Sexual Orientation in Heterosexual, Bisexual, and Homosexual Women. Scientific Reports 8(1): 673
Tymofiyeva, O.; Yuan, J.P.; Kidambi, R.; Huang, C.-Y.; Henje, E.; Rubinstein, M.L.; Jariwala, N.; Max, J.E.; Yang, T.T.; Xu, D. 2020: Neural Correlates of Smartphone Dependence in Adolescents. Frontiers in Human Neuroscience 14: 564629
Alain, C.; Arsenault, J.S.; Garami, L.; Bidelman, G.M.; Snyder, J.S. 2017: Neural Correlates of Speech Segregation Based on Formant Frequencies of Adjacent Vowels. Scientific Reports 7: 40790
Reinhardt, J.; Rus-Oswald, O.G.; Bürki, C.él.N.; Bridenbaugh, S.A.; Krumm, S.; Michels, L.; Stippich, C.; Kressig, R.W.; Blatow, M. 2020: Neural Correlates of Stepping in Healthy Elderly: Parietal and Prefrontal Cortex Activation Reflects Cognitive-Motor Interference Effects. Frontiers in Human Neuroscience 14: 566735
Owens, M.; Renaud, J.; Cloutier, M. 2021: Neural correlates of sustained attention and cognitive control in depression and rumination: An ERP study. Neuroscience Letters 756: 135942
Steinhauser, R.; Kübler, S.; Steinhauser, M.; Schubert, T. 2021: Neural Correlates of Task-order Preparation in Dual Tasks: An EEG Study. Journal of Cognitive Neuroscience 33(10): 2181-2196
Leslie, M.; Halls, D.; Leppanen, J.; Sedgewick, F.; Smith, K.; Hayward, H.; Lang, K.; Fonville, L.; Simic, M.; Mandy, W.; Nicholls, D.; Murphy, D.; Williams, S.; Tchanturia, K. 2020: Neural Correlates of Theory of Mind Are Preserved in Young Women with Anorexia Nervosa. Frontiers in Psychology 11: 568073
Ilzarbe, D.; Lukito, S.; Moessnang, C.; O'Daly, O.G.; Lythgoe, D.J.; Murphy, C.M.; Ashwood, K.; Stoencheva, V.; Rubia, K.; Simonoff, E. 2020: Neural Correlates of Theory of Mind in Autism Spectrum Disorder, Attention-Deficit/Hyperactivity Disorder, and the Comorbid Condition. Frontiers in Psychiatry 11: 544482
Webb, C.A.; Dillon, D.G.; Pechtel, P.; Goer, F.K.; Murray, L.; Huys, Q.J.M.; Fava, M.; McGrath, P.J.; Weissman, M.; Parsey, R.; Kurian, B.T.; Adams, P.; Weyandt, S.; Trombello, J.M.; Grannemann, B.; Cooper, C.M.; Deldin, P.; Tenke, C.; Trivedi, M.; Bruder, G.; Pizzagalli, D.A. 2016: Neural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 41(2): 454-463
Jeon, S.-H.; Park, Y.-H.; Oh, S.-Y.; Kang, J.-J.; Han, Y.-H.; Jeong, H.-J.; Lee, J.-M.; Park, M.; Kim, J.-S.; Dieterich, M. 2020: Neural Correlates of Transient Mal de Debarquement Syndrome: Activation of Prefrontal and Deactivation of Cerebellar Networks Correlate with Neuropsychological Assessment. Frontiers in Neurology 11: 585
Jung, E-Soo.; Dong, S-Yeon.; Lee, S-Young. 2019: Neural Correlates of Variations in Human Trust in Human-like Machines during Non-reciprocal Interactions. Scientific Reports 9(1): 9975
Adam-Darque, A.; Pittet, M.P.; Grouiller, F.éd.ér.; Rihs, T.A.; Leuchter, R.H.-V.; Lazeyras, F.ço.; Michel, C.M.; Hüppi, P.S. 2020: Neural Correlates of Voice Perception in Newborns and the Influence of Preterm Birth. Cerebral Cortex 30(11): 5717-5730
Boehringer, A.; Tost, H.; Haddad, L.; Lederbogen, F.; Wüst, S.; Schwarz, E.; Meyer-Lindenberg, A. 2015: Neural Correlates of the Cortisol Awakening Response in Humans. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 40(9): 2278-2285
Huels, E.R.; Kim, H.; Lee, U.; Bel-Bahar, T.; Colmenero, A.V.; Nelson, A.; Blain-Moraes, S.; Mashour, G.A.; Harris, R.E. 2021: Neural Correlates of the Shamanic State of Consciousness. Frontiers in Human Neuroscience 15: 610466
Xia, J.; Wang, P.; Chen, Q. 2017: Neural Correlates underlying Size Constancy in Virtual Three-Dimensional Space. Scientific Reports 7(1): 3279
Furutani, N.; Nariya, Y.; Takahashi, T.; Ito, H.; Yoshimura, Y.; Hiraishi, H.; Hasegawa, C.; Ikeda, T.; Kikuchi, M. 2020: Neural Decoding of Multi-Modal Imagery Behavior Focusing on Temporal Complexity. Frontiers in Psychiatry 11: 746
Key, B.; Zalucki, O.; Brown, D.J. 2021: Neural Design Principles for Subjective Experience: Implications for Insects. Frontiers in Behavioral Neuroscience 15: 658037
Miller, J.D.; Lippman, J.D.; Trevino, M.A.; Herda, T.J. 2020: Neural Drive is Greater for a High-Intensity Contraction than for Moderate-Intensity Contractions Performed to Fatigue. Journal of Strength and Conditioning Research 34(11): 3013-3021
Chen, I.-C.; Chang, C.-H.; Chang, Y.; Lin, D.-S.; Lin, C.-H.; Ko, L.-W. 2021: Neural Dynamics for Facilitating ADHD Diagnosis in Preschoolers: Central and Parietal Delta Synchronization in the Kiddie Continuous Performance Test. IEEE Transactions on Neural Systems and Rehabilitation Engineering: a Publication of the IEEE Engineering in Medicine and Biology Society 29: 1524-1533
Xie, L.; Cao, B.; Li, Z.; Li, F. 2020: Neural Dynamics of Cognitive Control in Various Types of Incongruence. Frontiers in Human Neuroscience 14: 214
Vo, K.D.; Siqi-Liu, A.; Chaire, A.; Li, S.; Demeter, E.; Egner, T.; Woldorff, M.G. 2021: Neural Dynamics of Conflict Control in Working Memory. Journal of Cognitive Neuroscience 33(10): 2079-2092
Kausel, L.; Zamorano, F.; Billeke, P.; Sutherland, M.E.; Larrain-Valenzuela, J.; Stecher, X.; Schlaug, G.; Aboitiz, F. 2020: Neural Dynamics of Improved Bimodal Attention and Working Memory in Musically Trained Children. Frontiers in Neuroscience 14: 554731
Sharma, V.V.; Thaut, M.; Russo, F.A.; Alain, C. 2021: Neural Dynamics of Inhibitory Control in Musicians with Absolute Pitch: Theta Synchrony as an Oscillatory Signature of Information Conflict. Cerebral Cortex Communications 2(3): Tgab 043
Frühholz, S.; Trost, W.; Constantinescu, I.; Grandjean, D. 2020: Neural Dynamics of Karaoke-Like Voice Imitation in Singing Performance. Frontiers in Human Neuroscience 14: 135
Hashemi, M.M.; Gladwin, T.E.; de Valk, N.M.; Zhang, W.; Kaldewaij, R.; van Ast, V.; Koch, S.B.J.; Klumpers, F.; Roelofs, K. 2019: Neural Dynamics of Shooting Decisions and the Switch from Freeze to Fight. Scientific Reports 9(1): 4240
Wang, G.; Li, J.; Li, S.; Zhu, C. 2020: Neural Dynamics of the Combined Discounting of Delay and Probability During the Evaluation of a Delayed Risky Reward. Frontiers in Psychology 11: 576460
Colibazzi, T.; Horga, G.; Wang, Z.; Huo, Y.; Corcoran, C.; Klahr, K.; Brucato, G.; Girgis, R.; Gill, K.; Abi-Dargham, A.; Peterson, B.S. 2016: Neural Dysfunction in Cognitive Control Circuits in Persons at Clinical High-Risk for Psychosis. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 41(5): 1241-1250
Li, L.; Smith, D.M. 2021: Neural Efficiency in Athletes: a Systematic Review. Frontiers in Behavioral Neuroscience 15: 698555
Tzagarakis, C.; West, S.; Pellizzer, G. 2021: Neural Encoding of the Reliability of Directional Information During the Preparation of Targeted Movements. Frontiers in Neuroscience 15: 679408
Rosso, M.; Leman, M.; Moumdjian, L. 2021: Neural Entrainment Meets Behavior: the Stability Index as a Neural Outcome Measure of Auditory-Motor Coupling. Frontiers in Human Neuroscience 15: 668918
Wang, G.; Sun, L.; Dong, H.; Wang, Y.; Xu, X.; Zhao, Z.; Cheng, W.; Liu, X.; Zhao, X.; Geng, Y.; Bao, S.; Chen, Y.; Cheng, H. 2021: Neural Epidermal Growth Factor-Like 1 Protein-Positive Membranous Nephropathy in Chinese Patients. Clinical Journal of the American Society of Nephrology: Cjasn 16(5): 727-735
Vaskevich, A.; Nishry, A.; Smilansky, Y.; Luria, R. 2021: Neural Evidence Suggests Both Interference and Facilitation from Embedding Regularity into Visual Search. Journal of Cognitive Neuroscience 33(4): 622-634
Schwartz, S.; Wang, L.; Shinn-Cunningham, B.G.; Tager-Flusberg, H. 2020: Neural Evidence for Speech Processing Deficits During a Cocktail Party Scenario in Minimally and Low Verbal Adolescents and Young Adults with Autism. Autism Research: Official Journal of the International Society for Autism Research 13(11): 1828-1842
Nakai, T.; Okanoya, K. 2018: Neural Evidence of Cross-domain Structural Interaction between Language and Arithmetic. Scientific Reports 8(1): 12873
Babaie-Janvier, T.; Robinson, P.A. 2020: Neural Field Theory of Evoked Response Potentials with Attentional Gain Dynamics. Frontiers in Human Neuroscience 14: 293
Robinson, P.A.; Gabay, N.C.; Babaie-Janvier, T. 2021: Neural Field Theory of Evoked Response Sequences and Mismatch Negativity with Adaptation. Frontiers in Human Neuroscience 15: 655505
Tan, R.; Li, H.; Huang, Z.; Zhou, Y.; Tao, M.; Gao, X.; Xu, Y. 2020: Neural Functions Play Different Roles in Triple Negative Breast Cancer (TNBC) and non-TNBC. Scientific Reports 10(1): 3065
O'Connor, S.A.; Feldman, H.M.; Arora, S.; Hoellerbauer, P.; Toledo, C.M.; Corrin, P.; Carter, L.; Kufeld, M.; Bolouri, H.; Basom, R.; Delrow, J.; McFaline-Figueroa, J.é L.; Trapnell, C.; Pollard, S.M.; Patel, A.; Paddison, P.J.; Plaisier, C.L. 2021: Neural G0: a quiescent-like state found in neuroepithelial-derived cells and glioma. Molecular Systems Biology 17(6): E9522
Farahani, E.D.; Wouters, J.; van Wieringen, A. 2020: Neural Generators Underlying Temporal Envelope Processing Show Altered Responses and Hemispheric Asymmetry Across Age. Frontiers in Aging Neuroscience 12: 596551
Sun, M.; Hu, L.; Xin, X.; Zhang, X. 2021: Neural Hierarchy of Color Categorization: from Prototype Encoding to Boundary Encoding. Frontiers in Neuroscience 15: 679627
Cournoyer, A.; Fournier, D.; Benoit-Biancamano, M.-O. 2021: Neural Hypertrophy and Hyperplasia in a Case of Chronic Ovine Pancreatitis. Journal of Comparative Pathology 185: 1-7
Barch, D.M.; Whalen, D.; Gilbert, K.; Kelly, D.; Kappenman, E.S.; Hajcak, G.; Luby, J.L. 2020: Neural Indicators of Anhedonia: Predictors and Mechanisms of Treatment Change in a Randomized Clinical Trial in Early Childhood Depression. Biological Psychiatry 88(11): 879-887
McKinstry-Wu, A.R.; Proekt, A.; Kelz, M.B. 2020: Neural Inertia: a Sticky Situation for Anesthesia. Journal of Neurosurgical Anesthesiology 32(3): 190-192
Javaras, K.N.; Pizzagalli, D.A. 2020: Neural Insensitivity to the Effects of Hunger: a Potential Mechanism Underlying Persistent Dietary Restriction in Anorexia Nervosa?. American Journal of Psychiatry 177(7): 567-569
Yuan, Q.; Ma, F.; Zhang, M.; Chen, M.; Zhang, Z.; Wu, J.; Lu, C.; Guo, T. 2021: Neural interaction between language control and cognitive control: Evidence from cross-task adaptation. Behavioural Brain Research 401: 113086
Shevtsova, N.A.; Ha, N.T.; Rybak, I.A.; Dougherty, K.J. 2020: Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights from Computational Modeling. Frontiers in Neural Circuits 14: 614615
Giannopulu, I.; Mizutani, H. 2021: Neural Kinesthetic Contribution to Motor Imagery of Body Parts: Tongue, Hands, and Feet. Frontiers in Human Neuroscience 15: 602723
Song, X.; Zeng, Y.; Tong, L.; Shu, J.; Li, H.; Yan, B. 2021: Neural mechanism for dynamic distractor processing during video target detection: Insights from time-varying networks in the cerebral cortex. Brain Research 1765: 147502
Liu, M.; Nie, Z.-Y.; Li, R.-R.; Zhang, W.; Huang, L.-H.; Wang, J.-Q.; Xiao, W.-X.; Zheng, J.C.; Li, Y.-X. 2021: Neural Mechanism of Repeated Transcranial Magnetic Stimulation to Enhance Visual Working Memory in Elderly Individuals with Subjective Cognitive Decline. Frontiers in Neurology 12: 665218
Ni, L.; Zhao, M.; Hu, Z.; Yang, K.; Zhao, X.; Niu, H.; Lin, H. 2021: Neural Mechanism of Shentai Tea Polyphenols on Cognitive Improvements for Individuals with Subjective Cognitive Decline: a Functional Near-Infrared Spectroscopy Study. Journal of Alzheimer's Disease: Jad 82(3): 1137-1145
Gandhi, T.; Lee, C.C. 2020: Neural Mechanisms Underlying Repetitive Behaviors in Rodent Models of Autism Spectrum Disorders. Frontiers in Cellular Neuroscience 14: 592710
Mieda, M. 2020: Neural Mechanisms Underlying the Central Circadian Clock of the Suprachiasmatic Nucleus. Brain and Nerve 72(11): 1143-1150
Strong, C.E.; Kabbaj, M. 2020: Neural Mechanisms Underlying the Rewarding and Therapeutic Effects of Ketamine as a Treatment for Alcohol use Disorder. Frontiers in Behavioral Neuroscience 14: 593860
Kusayama, T.; Wan, J.; Yuan, Y.; Chen, P.-S. 2021: Neural Mechanisms and Therapeutic Opportunities for Atrial Fibrillation. Methodist Debakey Cardiovascular Journal 17(1): 43-47
D'Mello, A.M.; Rozenkrantz, L. 2020: Neural Mechanisms for Prediction: from Action to Higher-Order Cognition. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 40(27): 5158-5160
Aytur, S.A.; Ray, K.L.; Meier, S.K.; Campbell, J.; Gendron, B.; Waller, N.; Robin, D.A. 2021: Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: a Network-Based fMRi Approach. Frontiers in Human Neuroscience 15: 587018
Noah, S.; Powell, T.; Khodayari, N.; Olivan, D.; Ding, M.; Mangun, G.R. 2020: Neural Mechanisms of Attentional Control for Objects: Decoding EEG Alpha when Anticipating Faces, Scenes,and Tools. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 40(25): 4913-4924
Kang, Y.; Falk, E.B. 2020: Neural Mechanisms of Attitude Change Toward Stigmatized Individuals: Temporoparietal Junction Activity Predicts Bias Reduction. Mindfulness 11(6): 1378-1389
Couwenberg, L.E.; Boksem, M.A.S.; Sanfey, A.G.; Smidts, A. 2020: Neural Mechanisms of Choice Diversification. Frontiers in Neuroscience 14: 502
Ha, O.-R.; Lim, S.-L.; Bruce, A.S. 2020: Neural Mechanisms of Food Decision-Making in Children. Current Nutrition Reports 9(3): 236-250
De Benedittis, G. 2021: Neural Mechanisms of Hypnosis and Meditation-Induced Analgesia: A Narrative Review. International Journal of Clinical and Experimental Hypnosis 2021: 1-20
Chester, D.S.; Martelli, A.M.; West, S.J.; Lasko, E.N.; Brosnan, P.; Makhanova, A.; Meltzer, A.L.; McNulty, J.K. 2021: Neural mechanisms of intimate partner aggression. Biological Psychology 165: 108195
Kang, W.; Pineda Hernández, S.òn.; Mei, J. 2020: Neural Mechanisms of Observational Learning: a Neural Working Model. Frontiers in Human Neuroscience 14: 609312
Mosner, M.G.; McLaurin, R.Edward.; Kinard, J.L.; Hakimi, S.; Parelman, J.; Shah, J.S.; Bizzell, J.; Greene, R.K.; Cernasov, P.M.; Walsh, E.; Addicott, M.A.; Eisenlohr-Moul, T.; Carter, R.McKell.; Dichter, G.S. 2019: Neural Mechanisms of Reward Prediction Error in Autism Spectrum Disorder. Autism Research and Treatment 2019: 5469191
Li, X.; Zhang, M.; Wu, L.; Zhang, Q.; Wei, P. 2021: Neural Mechanisms of Reward-by-Cueing Interactions: ERP Evidence. Frontiers in Human Neuroscience 15: 608427
Beik, M.; Taheri, H.; Saberi Kakhki, A.; Ghoshuni, M. 2020: Neural Mechanisms of the Contextual Interference Effect and Parameter Similarity on Motor Learning in Older Adults: An EEG Study. Frontiers in Aging Neuroscience 12: 173
Ahmedt-Aristizabal, D.; Fernando, T.; Denman, S.; Petersson, L.; Aburn, M.J.; Fookes, C. 2020: Neural Memory Networks for Seizure Type Classification. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020: 569-575
Pereira, A.; Teixeira, C.át.; Pereira, K.; Ferreira, L.; Marques, M.; Silva, A.G. 2021: Neural Mobilization Short-Term Dose Effect on the Lower-Limb Flexibility and Performance in Basketball Athletes: a Randomized, Parallel, and Single-Blinded Study. Journal of Sport Rehabilitation 30(7): 1060-1066
Liu, F.; Zheng, X.; Yu, H.; Tjia, J. 2020: Neural Multi-Task Learning for Adverse Drug Reaction Extraction. AMIA . Annual Symposium Proceedings. AMIA Symposium 2020: 756-762
Kashin, A.S.; Boiko, D.A.; Ananikov, V.P. 2021: Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature-Driven Microphase Dynamics in the Ions/Water System. Small 17(24): E2007726
Kats, L.; Vered, M.; Blumer, S.; Kats, E. 2020: Neural Network Detection and Segmentation of Mental Foramen in Panoramic Imaging. Journal of Clinical Pediatric Dentistry 44(3): 168-173
Lei, C.L.; Mirams, G.R. 2021: Neural Network Differential Equations for Ion Channel Modelling. Frontiers in Physiology 12: 708944
Sandoval-Palis, I.án.; Naranjo, D.; Gilar-Corbi, R.; Pozo-Rico, T. 2020: Neural Network Model for Predicting Student Failure in the Academic Leveling Course of Escuela Politécnica Nacional. Frontiers in Psychology 11: 515531
Pagnottoni, P. 2019: Neural Network Models for Bitcoin Option Pricing. Frontiers in Artificial Intelligence 2: 5
Ni, W.; Xu, Z.; Zou, J.; Wan, Z.; Zhao, X. 2021: Neural Network Optimal Routing Algorithm Based on Genetic Ant Colony in IPv6 Environment. Computational Intelligence and Neuroscience 2021: 3115704
Rajak, P.; Baradwaj, N.; Nomura, K.-I.; Krishnamoorthy, A.; Rino, J.P.; Shimamura, K.; Fukushima, S.; Shimojo, F.; Kalia, R.; Nakano, A.; Vashishta, P. 2021: Neural Network Quantum Molecular Dynamics, Intermediate Range Order in GeSe2, and Neutron Scattering Experiments. Journal of Physical Chemistry Letters 12(25): 6020-6028
Lee, E.M.Y.; Ludwig, T.; Yu, B.; Singh, A.R.; Gygi, F.ço.; Nørskov, J.K.; de Pablo, J.J. 2021: Neural Network Sampling of the Free Energy Landscape for Nitrogen Dissociation on Ruthenium. Journal of Physical Chemistry Letters 12(11): 2954-2962
Shultz, T.R.; Bale, A.C. 2001: Neural Network Simulation of Infant Familiarization to Artificial Sentences: Rule-Like Behavior Without Explicit Rules and Variables. Infancy: the Official Journal of the International Society on Infant Studies 2(4): 501-536
Choi, W.; Kwak, M.; Kim, S.; Hwang, H. 2021: Neural Network Training Acceleration with RRAM-Based Hybrid Synapses. Frontiers in Neuroscience 15: 690418
Modarres, M.Hadi.; Aversa, R.; Cozzini, S.; Ciancio, R.; Leto, A.; Brandino, G.Piero. 2017: Neural Network for Nanoscience Scanning Electron Microscope Image Recognition. Scientific Reports 7(1): 13282
Li, H.-A.; Zheng, Q.; Qi, X.; Yan, W.; Wen, Z.; Li, N.; Tang, C. 2021: Neural Network-Based Mapping Mining of Image Style Transfer in Big Data Systems. Computational Intelligence and Neuroscience 2021: 8387382
Li, L.; Zhu, H.; Zhang, Z.; Zhao, L.; Xu, L.; Jonas, R.A.; Garway-Heath, D.F.; Jonas, J.B.; Wang, Y.X. 2021: Neural Network-Based Retinal Nerve Fiber Layer Profile Compensation for Glaucoma Diagnosis in Myopia: Model Development and Validation. Jmir Medical Informatics 9(5): E22664
Luo, Y.; Lin, B.; Zhao, S.; He, L.; Wen, C. 2020: Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees. Journal of Healthcare Engineering 2020: 8812678
Clairmonte, N.; Skoric, J.; D'Mello, Y.; Hakim, S.; Aboulezz, E.; Lortie, M.; Plant, D. 2020: Neural Network-based Classification of Static Lung Volume States using Vibrational Cardiography. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020: 221-224
Meier, R.; Lux, P.; Med, B.; Jung, S.; Fischer, U.; Gralla, J.; Reyes, M.; Wiest, R.; McKinley, R.; Kaesmacher, J. 2019: Neural Network-derived Perfusion Maps for the Assessment of Lesions in Patients with Acute Ischemic Stroke. RADIOLOGY. Artificial Intelligence 1(5): E190019
Chebat, D-Robert.; Schneider, F.C.; Ptito, M. 2020: Neural Networks Mediating Perceptual Learning in Congenital Blindness. Scientific Reports 10(1): 495
Tsompanas, M.-A.; You, J.; Philamore, H.; Rossiter, J.; Ieropoulos, I. 2021: Neural Networks Predicting Microbial Fuel Cells Output for Soft Robotics Applications. Frontiers in Robotics and Ai 8: 633414
Liu, C.; Audu, M.L.; Triolo, R.J.; Quinn, R.D. 2021: Neural Networks Trained via Reinforcement Learning Stabilize Walking of a Three-Dimensional Biped Model with Exoskeleton Applications. Frontiers in Robotics and Ai 8: 710999
Shuvaev, S.A.; Tran, N.B.; Stephenson-Jones, M.; Li, B.; Koulakov, A.A. 2020: Neural Networks with Motivation. Frontiers in Systems Neuroscience 14: 609316
Peper, F.E.; Cardone, M.B.én.; Esteban, S. 2020: Neural Networks for Cause of Hospitalization and Final Cause of Death Extraction from Discharge Summaries. Studies in Health Technology and Informatics 270: 1341-1342
Cimini, V.; Barbieri, M.; Treps, N.; Walschaers, M.; Parigi, V. 2020: Neural Networks for Detecting Multimode Wigner Negativity. Physical Review Letters 125(16): 160504
Bennett, T.D.; Russell, S.; Albers, D.J. 2021: Neural Networks for Mortality Prediction: Ready for Prime Time?. Pediatric Critical Care Medicine: a Journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 22(6): 578-581
Collier, Z.K.; Leite, W.L.; Karpyn, A. 2021: Neural Networks to Estimate Generalized Propensity Scores for Continuous Treatment Doses. Evaluation Review 2021: 193841x21992199
Kolouri, S.; Yin, X.; Rohde, G.K. 2020: Neural Networks, Hypersurfaces, and the Generalized Radon Transform. IEEE Signal Processing Magazine 37(4): 123-133
Birch, J.; Browning, H. 2021: Neural Organoids and the Precautionary Principle. American Journal of Bioethics: Ajob 21(1): 56-58
Budnik-Przybylska, D.; Kastrau, A.; Jasik, P.; Kaźmierczak, M.; Doliński, Łu.; Syty, P.ł; Łabuda, M.; Przybylski, J.; di Fronso, S.; Bertollo, M. 2021: Neural Oscillation During Mental Imagery in Sport: An Olympic Sailor Case Study. Frontiers in Human Neuroscience 15: 669422
Yu, X.; Chen, Y.; Luo, T.; Huang, X. 2020: Neural Oscillations Associated with Auditory Duration Maintenance in Working Memory in Tasks with Controlled Difficulty. Frontiers in Psychology 11: 545935
Tobimatsu, S. 2020: Neural Oscillations and Network Diseases of the Human Brain. Brain and Nerve 72(11): 1183-1194
Kim, J.A.; Davis, K.D. 2021: Neural Oscillations: Understanding a Neural Code of Pain. Neuroscientist: a Review Journal Bringing Neurobiology Neurology and Psychiatry 27(5): 544-570
Nonnenbruch, W. 1949: Neural Pathological Consideration of high-pressure illness. Schweizerische Medizinische Wochenschrift 79(7): 148-154
Undeger, I.; Visser, R.ée.M.; Olsson, A. 2020: Neural Pattern Similarity Unveils the Integration of Social Information and Aversive Learning. Cerebral Cortex 30(10): 5410-5419
Gu, K.; Dang, R.; Prioleau, T. 2020: Neural Physiological Model: a Simple Module for Blood Glucose Prediction. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020: 5476-5481
Scholz, D.S.; Heldmann, M.; Mohammadi, B.; Münte, T.F.; Altenmüller, E. 2021: Neural Plasticity in a French Horn Player with Bilateral Amelia. Neural Plasticity 2021: 4570135
Rasmussen, R.; Sabbagh, U. 2020: Neural Polyamory: one Cell Forms Meaningful Connections with Hundreds of Partners. Cell Systems 10(5): 381-383
Bello, U.M.; Kranz, G.S.; Winser, S.J.; Chan, C.C.H. 2020: Neural Processes Underlying Mirror-Induced Visual Illusion: An Activation Likelihood Estimation Meta-Analysis. Frontiers in Human Neuroscience 14: 276
Cabrera-Álvarez, M.ía.J.; Clayton, N.S. 2020: Neural Processes Underlying Tool use in Humans, Macaques, and Corvids. Frontiers in Psychology 11: 560669
Cespón, J.ús. 2021: Neural Processing Underlying Executive Functions in Bilinguals: "Heads i Win, Tails you Lose". Frontiers in Human Neuroscience 15: 710905
Jääskeläinen, I.P.; Klucharev, V.; Panidi, K.; Shestakova, A.N. 2020: Neural Processing of Narratives: from Individual Processing to Viral Propagation. Frontiers in Human Neuroscience 14: 253
Nudga, N.; Urbanec, J.; Oceláková, Z.; Kremláček, J.; Chládková, K.ři. 2021: Neural Processing of Spectral and Durational Changes in Speech and Non-speech Stimuli: An MMN Study with Czech Adults. Frontiers in Human Neuroscience 15: 643655
Zhang, L.; Graf, I.; Kuang, Y.; Zheng, X.; Haupt, M.; Majid, A.; Kilic, E.; Hermann, D.M.; Psychogios, M.-N.; Weber, M.S.; Ochs, J.; Bähr, M.; Doeppner, T.R. 2021: Neural Progenitor Cell-Derived Extracellular Vesicles Enhance Blood-Brain Barrier Integrity by NF-κB (Nuclear Factor-κB)-Dependent Regulation of ABCB1 (ATP-Binding Cassette Transporter B1) in Stroke Mice. Arteriosclerosis Thrombosis and Vascular Biology 41(3): 1127-1145
Madl, C.M.; LeSavage, B.L.; Khariton, M.; Heilshorn, S.C. 2020: Neural Progenitor Cells Alter Chromatin Organization and Neurotrophin Expression in Response to 3D Matrix Degradability. Advanced Healthcare Materials 9(18): E2000754
Sone, P.P.; Kaneko, T.; Zaw, S.Y.M.; Sueyama, Y.; Gu, B.; Murano, H.; Zaw, Z.C.T.; Okada, Y.; Han, P.; Katsube, K.-I.; Okiji, T. 2020: Neural Regeneration/Remodeling in Engineered Coronal Pulp Tissue in the Rat Molar. Journal of Endodontics 46(7): 943-949
Dagnino, A.P.A.; Chagastelles, P.C.; Medeiros, R.P.; Estrázulas, M.; Kist, L.W.; Bogo, M.íc.R.; Weber, J.ão.B.B.; Campos, M.M.; Silva, J.B. 2020: Neural Regenerative Potential of Stem Cells Derived from the Tooth Apical Papilla. Stem Cells and Development 29(23): 1479-1496
Hao, S.; Yang, Y.; Helmy, M.; Wang, H. 2020: Neural Regulation of Feeding Behavior. Advances in Experimental Medicine and Biology 1284: 23-33
Chen, W.; Shu, Q.; Fan, J. 2020: Neural Regulation of Interactions Between Group 2 Innate Lymphoid Cells and Pulmonary Immune Cells. Frontiers in Immunology 11: 576929
Kim, C.-J. 2020: Neural Repair and Tissue Regeneration. International Neurourology Journal 24(Suppl 1): S1-S2
Kruijne, W.; Olivers, C.N.L.; van Rijn, H. 2021: Neural Repetition Suppression Modulates time Perception: Evidence from Electrophysiology and Pupillometry. Journal of Cognitive Neuroscience 33(7): 1230-1252
Estrada-Petrocelli, L.; Jane, R.; Torres, A. 2020: Neural Respiratory Drive Estimation in Respiratory sEMG with Cardiac Arrhythmias. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020: 2748-2751
Hao, Y.; Yao, L.; Evans, G.W. 2021: Neural Responses During Emotion Transitions and Emotion Regulation. Frontiers in Psychology 12: 666284
Herrmann, Börn.; Augereau, T.; Johnsrude, I.S. 2020: Neural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics. Scientific Reports 10(1): 9571
Olivo, D.; Di Ciano, A.; Mauro, J.; Giudetti, L.; Pampallona, A.; Kubera, K.M.; Hirjak, D.; Wolf, R.C.; Sambataro, F. 2021: Neural Responses of Benefiting from the Prosocial Exchange: the Effect of Helping Behavior. Frontiers in Psychology 12: 606858
Karl, S.; Sladky, R.; Lamm, C.; Huber, L. 2021: Neural Responses of Pet Dogs Witnessing their Caregiver's Positive Interactions with a Conspecific: An fMRi Study. Cerebral Cortex Communications 2(3): Tgab 047
Chiang, C.-H.; Hämäläinen, J.; Xu, W.; Wang, H.-L. 2020: Neural Responses to Musical Rhythm in Chinese Children with Reading Difficulties. Frontiers in Psychology 11: 1013
Li, G.; Zhang, S.; Le, T.M.; Tang, X.; Li, C.-S.R. 2020: Neural Responses to Reward in a Gambling Task: Sex Differences and Individual Variation in Reward-Driven Impulsivity. Cerebral Cortex Communications 1(1): Tgaa 025
Bauer, L.O. 2020: Neural Responses to Signals for Behavior Change: Greater Within-Person Variability is Associated with Risk Factors for Substance Dependence. Alcoholism Clinical and Experimental Research 44(9): 1783-1790
Dirks, B.; Romero, C.; Voorhies, W.; Kupis, L.; Nomi, J.S.; Dajani, D.R.; Odriozola, P.; Burrows, C.A.; Beaumont, A.L.; Cardona, S.M.; Parlade, M.V.; Alessandri, M.; Britton, J.C.; Uddin, L.Q. 2020: Neural Responses to a Putative Set-shifting Task in Children with Autism Spectrum Disorder. Autism Research: Official Journal of the International Society for Autism Research 13(9): 1501-1515
Kostick, K.Marie.; Lázaro-Muñoz, G. 2021: Neural Safeguards against Global Impacts of Memory Modification on Identity: Ethical and Practical Considerations. Ajob Neuroscience 12(1): 45-48
Wu, Y.; Hall, A.S.M.; Siehl, S.; Grafman, J.; Krueger, F. 2020: Neural Signatures of Gender Differences in Interpersonal Trust. Frontiers in Human Neuroscience 14: 225
Tyagi, O.; Zhu, Y.; Johnson, C.; Mehta, R.K.; Sasangohar, F.; Erraguntla, M.; Qaraqe, K. 2020: Neural Signatures of Handgrip Fatigue in Type 1 Diabetic Men and Women. Frontiers in Human Neuroscience 14: 564969
Valencia, D.; Alimohammad, A. 2021: Neural Spike Sorting Using Binarized Neural Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering: a Publication of the IEEE Engineering in Medicine and Biology Society 29: 206-214
Ceto, S.; Sekiguchi, K.J.; Takashima, Y.; Nimmerjahn, A.; Tuszynski, M.H. 2020: Neural Stem Cell Grafts Form Extensive Synaptic Networks that Integrate with Host Circuits after Spinal Cord Injury. Cell Stem Cell 27(3): 430-440.E5
Li, Y.; Guo, W. 2021: Neural Stem Cell Niche and Adult Neurogenesis. Neuroscientist: a Review Journal Bringing Neurobiology Neurology and Psychiatry 27(3): 235-245
Garitaonandia, I.; Gonzalez, R.; Christiansen-Weber, T.; Abramihina, T.; Poustovoitov, M.; Noskov, A.; Sherman, G.; Semechkin, A.; Snyder, E.; Kern, R. 2016: Neural Stem Cell Tumorigenicity and Biodistribution Assessment for Phase I Clinical Trial in Parkinson's Disease. Scientific Reports 6: 34478
Yuan, P.; Ding, L.; Chen, H.; Wang, Y.; Li, C.; Zhao, S.; Yang, X.; Ma, Y.; Zhu, J.; Qi, X.; Zhang, Y.; Xia, X.; Zheng, J.C. 2021: Neural Stem Cell-Derived Exosomes Regulate Neural Stem Cell Differentiation Through miR-9-Hes1 Axis. Frontiers in Cell and Developmental Biology 9: 601600
Kaur, N.; Han, W.; Li, Z.; Madrigal, M.P.; Shim, S.; Pochareddy, S.; Gulden, F.O.; Li, M.; Xu, X.; Xing, X.; Takeo, Y.; Li, Z.; Lu, K.; Imamura Kawasawa, Y.; Ballester-Lurbe, B.ña.; Moreno-Bravo, J.A.; Chédotal, A.; Terrado, J.é; Pérez-Roger, I.; Koleske, A.J.; Sestan, N. 2020: Neural Stem Cells Direct Axon Guidance via their Radial Fiber Scaffold. Neuron 107(6): 1197-1211.E9
Hammad, M.; Cornejo, Y.R.; Batalla-Covello, J.; Majid, A.A.; Burke, C.; Liu, Z.; Yuan, Y.-C.; Li, M.; Dellinger, T.H.; Lu, J.; Chen, N.G.; Fong, Y.; Aboody, K.S.; Mooney, R. 2020: Neural Stem Cells Improve the Delivery of Oncolytic Chimeric Orthopoxvirus in a Metastatic Ovarian Cancer Model. Molecular Therapy Oncolytics 18: 326-334
Galiakberova, A.A.; Dashinimaev, E.B. 2020: Neural Stem Cells and Methods for their Generation from Induced Pluripotent Stem Cells in vitro. Frontiers in Cell and Developmental Biology 8: 815
Hogan, M.K.; Hamilton, G.F.; Horner, P.J. 2020: Neural Stimulation and Molecular Mechanisms of Plasticity and Regeneration: a Review. Frontiers in Cellular Neuroscience 14: 271
Hernandez-Cruz, N.; Cato, D.; Favela, J. 2021: Neural Style Transfer as Data Augmentation for Improving COVID-19 Diagnosis Classification. Sn Computer Science 2(5): 410
Watanuki, S.; Akama, H. 2020: Neural Substrates of Brand Love: An Activation Likelihood Estimation Meta-Analysis of Functional Neuroimaging Studies. Frontiers in Neuroscience 14: 534671
Merchant, J.S.; Cosme, D.; Giuliani, N.R.; Dirks, B.; Berkman, E.T. 2020: Neural Substrates of Food Valuation and Its Relationship With BMI and Healthy Eating in Higher BMI Individuals. Frontiers in Behavioral Neuroscience 14: 578676
Huggins, A.A.; Weis, C.N.; Parisi, E.A.; Bennett, K.P.; Miskovic, V.; Larson, C.L. 2021: Neural substrates of human fear generalization: a 7T-fMRi investigation. Neuroimage 239: 118308
Babadi, S.; Vahdat, S.; Milner, T.E. 2021: Neural Substrates of Muscle Co-contraction during Dynamic Motor Adaptation. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 41(26): 5667-5676
Nir-Cohen, G.; Kessler, Y.; Egner, T. 2020: Neural Substrates of Working Memory Updating. Journal of Cognitive Neuroscience 32(12): 2285-2302
Liu, L.; Margoni, F.; He, Y.; Liu, H. 2021: Neural substrates of the interplay between cognitive load and emotional involvement in bilingual decision making. Neuropsychologia 151: 107721
Sarkar, A.; Singh, M.M.; Mandal, J.K. 2021: Neural Synchronization-Guided Concatenation of Header and Secret Shares for Secure Transmission of Patients' Electronic Medical Record: Enhancing Telehealth Security for COVID-19. Arabian Journal for Science and Engineering 46(4): 3301-3317
Verbeke, P.; Verguts, T. 2021: Neural Synchrony for Adaptive Control. Journal of Cognitive Neuroscience 33(11): 2394-2412
Fagerholm, E.D.; Foulkes, W.M.C.; Gallero-Salas, Y.; Helmchen, F.; Friston, K.J.; Leech, R.; Moran, R.J. 2021: Neural Systems Under Change of Scale. Frontiers in Computational Neuroscience 15: 643148
Vaidya, A.R.; Badre, D. 2020: Neural Systems for Memory-based Value Judgment and Decision-making. Journal of Cognitive Neuroscience 32(10): 1896-1923
Hayes, A.J.; Melrose, J. 2021: Neural Tissue Homeostasis and Repair Is Regulated via CS and DS Proteoglycan Motifs. Frontiers in Cell and Developmental Biology 9: 696640
Xu, C.; Zou, J.; He, F.; Wen, X.; Li, J.; Gao, J.; Ding, N.; Luo, B. 2021: Neural Tracking of Sound Rhythms Correlates with Diagnosis, Severity, and Prognosis of Disorders of Consciousness. Frontiers in Neuroscience 15: 646543
Kandylaki, K.D.; Criscuolo, A. 2021: Neural Tracking of Speech: Top-Down and Bottom-Up Influences in the Musician's Brain. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 41(31): 6579-6581
Yoon, Y.; Kim, H.S.; Hong, C.P.; Li, E.; Jeon, I.; Park, H.J.; Lee, N.; Pei, Z.; Song, J. 2020: Neural Transplants from Human Induced Pluripotent Stem Cells Rescue the Pathology and Behavioral Defects in a Rodent Model of Huntington's Disease. Frontiers in Neuroscience 14: 558204
Huang, Y.; Lin, S.; Wang, C.; Pi, X.; Jin, L.; Li, Z.; Wang, L.; Ren, A. 2020: Neural Tube Defects and ZIC4 Hypomethylation in Relation to Polycyclic Aromatic Hydrocarbon Exposure. Frontiers in Cell and Developmental Biology 8: 582661
Merz, C.Josef.; Hamacher-Dang, T.Christina.; Stark, R.; Wolf, O.Tobias.; Hermann, A. 2018: Neural Underpinnings of Cortisol Effects on Fear Extinction. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 43(2): 384-392
Ries, S.K.; Schendel, K.L.; Herron, T.J.; Dronkers, N.F.; Baldo, J.V.; Turken, A.U. 2021: Neural Underpinnings of Proactive Interference in Working Memory: Evidence from Patients with Unilateral Lesions. Frontiers in Neurology 12: 607273
Salazar, A.P.; Hupfeld, K.E.; Lee, J.K.; Beltran, N.E.; Kofman, I.S.; De Dios, Y.E.; Mulder, E.; Bloomberg, J.J.; Mulavara, A.P.; Seidler, R.D. 2020: Neural Working Memory Changes During a Spaceflight Analog with Elevated Carbon Dioxide: a Pilot Study. Frontiers in Systems Neuroscience 14: 48
Gómez-López, S.; Martínez-Silva, A.Valeria.; Montiel, T.; Osorio-Gómez, D.; Bermúdez-Rattoni, F.; Massieu, L.; Escalante-Alcalde, D. 2016: Neural ablation of the PARK10 candidate Plpp3 leads to dopaminergic transmission deficits without neurodegeneration. Scientific Reports 6: 24028
McCrae, C.S.; Craggs, J.G.; Curtis, A.F.; Nair, N.; Kay, D.; Staud, R.; Berry, R.B.; Robinson, M.E. 2022: Neural activation changes in response to pain following cognitive behavioral therapy for patients with comorbid fibromyalgia and insomnia: a pilot study. Journal of Clinical Sleep Medicine: Jcsm: Official Publication of the American Academy of Sleep Medicine 18(1): 203-215
Pabon, E.; Crane, N.A.; Radoman, M.; Weafer, J.; Langenecker, S.A.; Phan, K.L.; de Wit, H. 2021: Neural activation during anticipation of monetary gain or loss does not associate with positive subjective response to alcohol in binge drinkers. Drug and Alcohol Dependence 218: 108432
Eilertsen, M.; Clokie, B.G.J.; Ebbesson, L.O.E.; Tanase, C.; Migaud, H.; Helvik, J.V. 2021: Neural activation in photosensitive brain regions of Atlantic salmon (Salmo salar) after light stimulation. Plos one 16(9): E0258007
Ashworth, E.; Brooks, S.J.; Schiöth, H.B. 2021: Neural activation of anxiety and depression in children and young people: a systematic meta-analysis of fMRi studies. Psychiatry Research. Neuroimaging 311: 111272
Schroeder, B.E.; Schiltz, C.A.; Kelley, A.E. 2003: Neural activation profile elicited by cues associated with the anxiogenic drug yohimbine differs from that observed for reward-paired cues. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 28(1): 14-21
Gonçalves, S.F.; Turpyn, C.C.; Niehaus, C.E.; Mauro, K.L.; Hinagpis, C.L.; Thompson, J.C.; Chaplin, T.M. 2021: Neural activation to loss and reward among alcohol naive adolescents who later initiate alcohol use. Developmental Cognitive Neuroscience 50: 100978
Crane, N.A.; Gorka, S.M.; Weafer, J.; Langenecker, S.A.; de Wit, H.; Phan, K.Luan. 2018: Neural activation to monetary reward is associated with amphetamine reward sensitivity. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 43(8): 1738-1744
Lutz, J.; Berry, M.P.; Napadow, V.; Germer, C.; Pollak, S.; Gardiner, P.; Edwards, R.R.; Desbordes, G.; Schuman-Olivier, Z. 2020: Neural activations during self-related processing in patients with chronic pain and effects of a brief self-compassion training - a pilot study. Psychiatry Research. Neuroimaging 304: 111155
Lee, T.M.C.; Liu, H-L.; Chan, C.C.H.; Fang, S-Y.; Gao, J-H. 2005: Neural activities associated with emotion recognition observed in men and women. Molecular Psychiatry 10(5): 450-455
Hua, J.Yuanyuan.; Smith, S.J. 2004: Neural activity and the dynamics of central nervous system development. Nature Neuroscience 7(4): 327-332
Lapid, H.; Shushan, S.; Plotkin, A.; Voet, H.; Roth, Y.; Hummel, T.; Schneidman, E.; Sobel, N. 2011: Neural activity at the human olfactory epithelium reflects olfactory perception. Nature Neuroscience 14(11): 1455-1461
Bryant, R.A.; Williamson, T.; Erlinger, M.; Felmingham, K.L.; Malhi, G.; Hinton, M.; Williams, L.; Korgaonkar, M.S. 2021: Neural activity during response inhibition associated with improvement of dysphoric symptoms of PTSD after trauma-focused psychotherapy-an EEG-fMRI study. Translational Psychiatry 11(1): 218
Korgaonkar, M.S.; Williamson, T.; Bryant, R.A. 2021: Neural activity during response inhibition in mild traumatic brain injury and posttraumatic stress disorder. Neurobiology of Stress 14: 100308
Lee, T.Sing.; Yang, C.F.; Romero, R.D.; Mumford, D. 2002: Neural activity in early visual cortex reflects behavioral experience and higher-order perceptual saliency. Nature Neuroscience 5(6): 589-597
Faul, L.; Knight, L.K.; Espay, A.J.; Depue, B.E.; LaFaver, K. 2020: Neural activity in functional movement disorders after inpatient rehabilitation. Psychiatry Research. Neuroimaging 303: 111125
Falcone, R.; Cirillo, R.; Ferraina, S.; Genovesio, A. 2017: Neural activity in macaque medial frontal cortex represents others' choices. Scientific Reports 7(1): 12663
Takemura, A.; Ofuji, T.; Miura, K.; Kawano, K. 2017: Neural activity in the dorsal medial superior temporal area of monkeys represents retinal error during adaptive motor learning. Scientific Reports 7: 40939
Iino, S.; Shiota, Y.; Nishimura, M.; Asada, S.; Ono, M.; Kubo, T. 2020: Neural activity mapping of bumble bee (Bombus ignitus) brains during foraging flight using immediate early genes. Scientific Reports 10(1): 7887
Chaudhuri, A. 1997: Neural activity mapping with inducible transcription factors. Neuroreport 8(16): V
van Veen, V.; Krug, M.K.; Schooler, J.W.; Carter, C.S. 2009: Neural activity predicts attitude change in cognitive dissonance. Nature Neuroscience 12(11): 1469-1474
Vogel, E.K.; Machizawa, M.G. 2004: Neural activity predicts individual differences in visual working memory capacity. Nature 428(6984): 748-751
Lim, J-Hwan.A.; Stafford, B.K.; Nguyen, P.L.; Lien, B.V.; Wang, C.; Zukor, K.; He, Z.; Huberman, A.D. 2016: Neural activity promotes long-distance, target-specific regeneration of adult retinal axons. Nature Neuroscience 19(8): 1073-1084
Leong, A.T.L.; Wang, X.; Wong, E.C.; Dong, C.M.; Wu, E.X. 2021: Neural activity temporal pattern dictates long-range propagation targets. Neuroimage 235: 118032
Kozhemiako, N.; Nunes, A.S.; Samal, A.; Rana, K.D.; Calabro, F.J.; Hämäläinen, M.S.; Khan, S.; Vaina, L.M. 2020: Neural activity underlying the detection of an object movement by an observer during forward self-motion: Dynamic decoding and temporal evolution of directional cortical connectivity. Progress in Neurobiology 195: 101824
Ridderbusch, I.C.; Wroblewski, A.; Yang, Y.; Richter, J.; Hollandt, M.; Hamm, A.O.; Wittchen, H.-U.; Ströhle, A.; Arolt, V.; Margraf, J.ür.; Lueken, U.; Herrmann, M.J.; Kircher, T.; Straube, B. 2021: Neural adaptation of cingulate and insular activity during delayed fear extinction: a replicable pattern across assessment sites and repeated measurements. Neuroimage 237: 118157
Webster, M.A.; Georgeson, M.A.; Webster, S.M. 2002: Neural adjustments to image blur. Nature Neuroscience 5(9): 839-840
Harlé, K.M.; Simmons, A.N.; Norman, S.B.; Spadoni, A.D. 2020: Neural affective mechanisms associated with treatment responsiveness in veterans with PTSD and comorbid alcohol use disorder. Psychiatry Research. Neuroimaging 305: 111172
Chen, M.; Zhang, T.; Zhang, R.; Wang, N.; Yin, Q.; Li, Y.; Liu, J.; Liu, T.; Li, X. 2020: Neural alignment during face-to-face spontaneous deception: Does gender make a difference?. Human Brain Mapping 41(17): 4964-4981
Meshulam, M.; Hasenfratz, L.; Hillman, H.; Liu, Y-Fei.; Nguyen, M.; Norman, K.A.; Hasson, U. 2021: Neural alignment predicts learning outcomes in students taking an introduction to computer science course. Nature Communications 12(1): 1922
Pardo-Figuerez, M.; Martin, N.R.W.; Player, D.J.; Capel, A.J.; Christie, S.D.R.; Lewis, M.P. 2018: Neural and Aneural Regions Generated by the use of Chemical Surface Coatings. Acs Biomaterials Science and Engineering 4(1): 98-106
Gan, G.; Sterzer, P.; Marxen, M.; Zimmermann, U.S.; Smolka, M.N. 2015: Neural and Behavioral Correlates of Alcohol-Induced Aggression Under Provocation. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 40(13): 2886-2896
Thai, M.; Başgöze, Z.; Klimes-Dougan, B.; Mueller, B.A.; Fiecas, M.; Lim, K.O.; Albott, C.S.; Cullen, K.R. 2020: Neural and Behavioral Correlates of Clinical Improvement to Ketamine in Adolescents with Treatment Resistant Depression. Frontiers in Psychiatry 11: 820
Melara, R.D.; Varela, T.; Baidya, T. 2021: Neural and behavioral effects of perceptual load on auditory selective attention. Behavioural Brain Research 405: 113213
Lenc, T.; Keller, P.E.; Varlet, M.; Nozaradan, S. 2020: Neural and Behavioral Evidence for Frequency-Selective Context Effects in Rhythm Processing in Humans. Cerebral Cortex Communications 1(1): Tgaa 037
Gilmore, S.A.; Russo, F.A. 2021: Neural and Behavioral Evidence for Vibrotactile Beat Perception and Bimodal Enhancement. Journal of Cognitive Neuroscience 33(4): 635-650
Kraeutner, S.N.; Stratas, A.; McArthur, J.L.; Helmick, C.A.; Westwood, D.A.; Boe, S.G. 2020: Neural and Behavioral Outcomes Differ Following Equivalent Bouts of Motor Imagery or Physical Practice. Journal of Cognitive Neuroscience 32(8): 1590-1606
Pinto, C.B.; Bielefeld, J.; Jabakhanji, R.; Reckziegel, D.; Griffith, J.W.; Apkarian, A.V. 2020: Neural and Genetic Bases for Human Ability Traits. Frontiers in Human Neuroscience 14: 609170
Park, S.-H.; Weber, F. 2020: Neural and Homeostatic Regulation of REM Sleep. Frontiers in Psychology 11: 1662
Mueller, S.C.; Wierckx, K.; T'Sjoen, G. 2020: Neural and Hormonal Correlates of Sexual Arousal in Transgender Persons. Journal of Sexual Medicine 17(12): 2495-2507
Bretl, B.L. 2020: Neural and Linguistic Considerations for Assessing Moral Intuitions Using Text-Based Stimuli. Journal of Psychology 2020: 1-25
Zheng, X.; Kendrick, K.M. 2021: Neural and Molecular Contributions to Pathological Jealousy and a Potential Therapeutic Role for Intranasal Oxytocin. Frontiers in Pharmacology 12: 652473
Traniello, I.M.; Robinson, G.E. 2021: Neural and Molecular Mechanisms of Biological Embedding of Social Interactions. Annual Review of Neuroscience 44: 109-128
Raghuraman, N.; Wang, Y.; Schenk, L.A.; Furman, A.J.; Tricou, C.; Seminowicz, D.A.; Colloca, L. 2019: Neural and behavioral changes driven by observationally-induced hypoalgesia. Scientific Reports 9(1): 19760
Subramaniam, P.; Yurgelun-Todd, D. 2020: Neural and behavioral correlates associated with adolescent marijuana use. Current Addiction Reports 7(4): 475-485
Lempert, K.M.; Mechanic-Hamilton, D.J.; Xie, L.; Wisse, L.E.M.; de Flores, R.; Wang, J.; Das, S.R.; Yushkevich, P.A.; Wolk, D.A.; Kable, J.W. 2020: Neural and behavioral correlates of episodic memory are associated with temporal discounting in older adults. Neuropsychologia 146: 107549
Liuzzi, M.T.; Kryza-Lacombe, M.; Christian, I.R.; Palumbo, D.E.; Amir, N.; Wiggins, J.L. 2020: Neural and behavioral correlates of inhibitory control in youths with varying levels of irritability. Journal of Affective Disorders 273: 567-575
De Coster, L.; Lin, L.; Mathalon, D.H.; Woolley, J.D. 2019: Neural and behavioral effects of oxytocin administration during theory of mind in schizophrenia and controls: a randomized control trial. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 44(11): 1925-1931
Saitovitch, A.; Lemaitre, Hé.; Rechtman, E.; Vinçon-Leite, A.; Calmon, R.; Grévent, D.; Dangouloff-Ros, V.; Brunelle, F.; Boddaert, N.; Zilbovicius, M. 2019: Neural and behavioral signature of human social perception. Scientific Reports 9(1): 9252
Crone, E.A.; Achterberg, M.; Dobbelaar, S.; Euser, S.; van den Bulk, B.; der Meulen, M.v.; van Drunen, L.; Wierenga, L.M.; Bakermans-Kranenburg, M.J.; van IJzendoorn, M.H. 2020: Neural and behavioral signatures of social evaluation and adaptation in childhood and adolescence: the Leiden consortium on individual development (L-CID). Developmental Cognitive Neuroscience 45: 100805
Butler, J.M.; Whitlow, S.M.; Roberts, D.A.; Maruska, K.P. 2018: Neural and behavioural correlates of repeated social defeat. Scientific Reports 8(1): 6818
Akechi, H.; Kikuchi, Y.; Tojo, Y.; Osanai, H.; Hasegawa, T. 2014: Neural and behavioural responses to face-likeness of objects in adolescents with autism spectrum disorder. Scientific Reports 4: 3874
Zhu, Y.; Weston, E.B.; Mehta, R.K.; Marras, W.S. 2021: Neural and biomechanical tradeoffs associated with human-exoskeleton interactions. Applied Ergonomics 96: 103494
Müller, T.; Klein-Flügge, M.C.; Manohar, S.G.; Husain, M.; Apps, M.A.J. 2021: Neural and computational mechanisms of momentary fatigue and persistence in effort-based choice. Nature Communications 12(1): 4593
Korzan, W.J.; Summers, T.R.; Summers, C.H. 2021: Neural and endocrine responses to social stress differ during actual and virtual aggressive interactions or physiological sign stimuli. Behavioural Processes 182: 104294
Dondé, Cément.; Martinez, A.; Sehatpour, P.; Patel, G.H.; Kraut, R.; Kantrowitz, J.T.; Javitt, D.C. 2019: Neural and functional correlates of impaired reading ability in schizophrenia. Scientific Reports 9(1): 16022
Iordanova, B.; Vazquez, A.L.; Poplawsky, A.J.; Fukuda, M.; Kim, S-Gi. 2015: Neural and hemodynamic responses to optogenetic and sensory stimulation in the rat somatosensory cortex. Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism 35(6): 922-932
Kampe, J.; Stefanidis, A.; Lockie, S.H.; Brown, W.A.; Dixon, J.B.; Odoi, A.; Spencer, S.J.; Raven, J.; Oldfield, B.J. 2012: Neural and humoral changes associated with the adjustable gastric band: insights from a rodent model. International Journal of Obesity 36(11): 1403-1411
Kampe, J.; Stefanidis, A.; Lockie, S.H.; Brown, W.A.; Dixon, J.B.; Odoi, A.; Spencer, S.J.; Raven, J.; Oldfield, B.J. 2012: Neural and humoral changes associated with the adjustable gastric band: insights from a rodent model. International Journal of Obesity 36(11): 1403-1411
Papaiordanidou, M.; Varray, A.; Fattal, C.; Guiraud, D. 2014: Neural and muscular mechanisms of electrically induced fatigue in patients with spinal cord injury. Spinal Cord 52(3): 246-250
Limbrick-Oldfield, E.H.; Mick, I.; Cocks, R.E.; Flechais, R.S.A.; Turton, S.; Lingford-Hughes, A.; Bowden-Jones, H.; Clark, L. 2020: Neural and neurocognitive markers of vulnerability to gambling disorder: a study of unaffected siblings. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 45(2): 292-300
Meskers, C.G.; Kwakkel, G. 2020: Neural and non-neural contributions to enhanced joint stiffness in children with cerebral palsy. Developmental Medicine and Child Neurology 62(9): 1008
Baccelli, G.; Guazzi, M.; Mancia, G.; Zanchetti, A. 1969: Neural and non-neural mechanisms influencing circulation during sleep. Nature 223(5202): 184-185
Daly, I.; Nicolaou, N.; Williams, D.; Hwang, F.; Kirke, A.; Miranda, E.; Nasuto, S.J. 2020: Neural and physiological data from participants listening to affective music. Scientific Data 7(1): 177
Zhao, T.C.; Kuhl, P.K. 2020: Neural and physiological relations observed in musical beat and meter processing. Brain and Behavior 10(11): E01836
Youm, Y.; Kim, J.; Kwak, S.; Chey, J. 2021: Neural and social correlates of attitudinal brokerage: using the complete social networks of two entire villages. PROCEEDINGS. Biological Sciences 288(1944): 20202866
Losin, E.A.Reynolds.; Woo, C-Wan.; Medina, N.A.; Andrews-Hanna, J.R.; Eisenbarth, H.; Wager, T.D. 2020: Neural and sociocultural mediators of ethnic differences in pain. Nature Human Behaviour 4(5): 517-530
Pallavicini, C.; Cavanna, F.; Zamberlan, F.; de la Fuente, L.A.; Ilksoy, Y.; Perl, Y.S.; Arias, M.; Romero, C.; Carhart-Harris, R.; Timmermann, C.; Tagliazucchi, E. 2021: Neural and subjective effects of inhaled N,N-dimethyltryptamine in natural settings. Journal of Psychopharmacology 35(4): 406-420
Murakami, M.; Vicente, M.Inês.; Costa, G.M.; Mainen, Z.F. 2014: Neural antecedents of self-initiated actions in secondary motor cortex. Nature Neuroscience 17(11): 1574-1582
Kimura, H.; Imura, Y-Ki.; Tomiyasu, H.; Mihara, T.; Kaji, N.; Ohno, K.; Unno, T.; Tanahashi, Y.; Jan, T-Rong.; Tsubone, H.; Ozaki, H.; Hori, M. 2019: Neural anti-inflammatory action mediated by two types of acetylcholine receptors in the small intestine. Scientific Reports 9(1): 5887
Budhram, A.; Mirian, A.; McFadden, S.; Edmond, P.; Bhayana, V.; Yang, L. 2021: Neural Antibody Testing for Autoimmune Encephalitis: a Canadian Single-Centre Experience. Canadian Journal of Neurological Sciences. le Journal Canadien des Sciences Neurologiques 48(6): 859-863
Hulett, R.E.; Potter, D.; Srivastava, M. 2020: Neural architecture and regeneration in the acoel Hofstenia miamia. PROCEEDINGS. Biological Sciences 287(1931): 20201198
Tune, S.; Alavash, M.; Fiedler, L.; Obleser, J. 2021: Neural attentional-filter mechanisms of listening success in middle-aged and older individuals. Nature Communications 12(1): 4533
Bien, C.G. 2020: Neural autoantibodies and autoimmune encephalitis - the conjunction of both counts. European Journal of Neurology 27(10): 1803-1804
Tan, K.R.; Brown, M.; Labouèbe, Gël.; Yvon, Cédric.; Creton, C.; Fritschy, J-Marc.; Rudolph, U.; Lüscher, C. 2010: Neural bases for addictive properties of benzodiazepines. Nature 463(7282): 769-774
Ahn, S.; Nesbit, M.O.; Zou, H.; Vacca, G.; Axerio-Cilies, P.; Van Sung, T.; Phillips, A.G. 2020: Neural bases for attenuation of morphine withdrawal by Heantos-4: role of l-tetrahydropalmatine. Scientific Reports 10(1): 21275
Saberi, K.; Takahashi, Y.; Farahbod, H.; Konishi, M. 1999: Neural bases of an auditory illusion and its elimination in owls. Nature Neuroscience 2(7): 656-659
Oishi, Y.; Nagasawa, H.; Hirayama, K.; Suzuki, K. 2021: Neural bases of color-specific semantic loss: two cases of object-color knowledge impairment. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior 141: 211-223
Gleichgerrcht, E.; Roth, R.; Fridriksson, J.; den Ouden, D.; Delgaizo, J.; Stark, B.; Hickok, G.; Rorden, C.; Wilmskoetter, J.; Hillis, A.; Bonilha, L. 2021: Neural bases of elements of syntax during speech production in patients with aphasia. Brain and Language 222: 105025
Bortolini, T.; Bado, Pícia.; Hoefle, S.; Engel, A.; Zahn, R.; de Oliveira Souza, R.; Dreher, J-Claude.; Moll, J. 2017: Neural bases of ingroup altruistic motivation in soccer fans. Scientific Reports 7(1): 16122
Quoilin, C.; Dricot, L.; Genon, S.; de Timary, P.; Duque, J. 2021: Neural bases of inhibitory control: Combining transcranial magnetic stimulation and magnetic resonance imaging in alcohol-use disorder patients. Neuroimage 224: 117435
Tamietto, M.; de Gelder, B. 2010: Neural bases of the non-conscious perception of emotional signals. Nature Reviews. Neuroscience 11(10): 697-709
Mendoza, Gán.; Méndez, J.Carlos.; Pérez, O.; Prado, L.; Merchant, H. 2018: Neural basis for categorical boundaries in the primate pre-SMA during relative categorization of time intervals. Nature Communications 9(1): 1098
Meng, X.; Moriguchi, Y. 2021: Neural basis for egalitarian sharing in five-to six-year-old children. Neuropsychologia 154: 107787
Kanjlia, S.; Feigenson, L.; Bedny, M. 2021: Neural basis of approximate number in congenital blindness. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior 142: 342-356
McDonald, J.J.; Teder-Sälejärvi, W.A.; Di Russo, F.; Hillyard, S.A. 2005: Neural basis of auditory-induced shifts in visual time-order perception. Nature Neuroscience 8(9): 1197-1202
Engin, E.; Bakhurin, K.I.; Smith, K.S.; Hines, R.M.; Reynolds, L.M.; Tang, W.; Sprengel, R.; Moss, S.J.; Rudolph, U. 2014: Neural basis of benzodiazepine reward: requirement for α2 containing GABAA receptors in the nucleus accumbens. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 39(8): 1805-1815
Schall, J.D. 2001: Neural basis of deciding, choosing and acting. Nature Reviews. Neuroscience 2(1): 33-42
Hermann, P.; Weiss, B.él.; Knakker, B.áz.; Madurka, P.; Manga, A.ár.; Nárai, Ád.ám.; Vidnyánszky, Z.án. 2021: Neural basis of distractor resistance during visual working memory maintenance. Neuroimage 245: 118650
Ibbotson, M.R.; Hung, Y-S.; Meffin, H.; Boeddeker, N.; Srinivasan, M.V. 2017: Neural basis of forward flight control and landing in honeybees. Scientific Reports 7(1): 14591
Vinçon-Leite, A.; Saitovitch, A.; Lemaitre, H.; Rechtman, E.; Fillon, L.; Grevent, D.; Calmon, R.; Brunelle, F.; Boddaert, N.; Zilbovicius, M. 2020: Neural basis of interindividual variability in social perception in typically developing children and adolescents using diffusion tensor imaging. Scientific Reports 10(1): 6379
Ito, T.; Yokokawa, K.; Yahata, N.; Isato, A.; Suhara, T.; Yamada, M. 2017: Neural basis of negativity bias in the perception of ambiguous facial expression. Scientific Reports 7(1): 420
Kyeong, S.; Eom, H.; Kim, M-Kyeong.; Jung, Y.Hoon.; Park, S.; Kim, J-Jin. 2019: Neural basis of romantic partners' decisions about participation in leisure activity. Scientific Reports 9(1): 14448
Kos, C.; Klaasen, N.G.; Marsman, J-Bernard.C.; Opmeer, E.M.; Knegtering, H.; Aleman, Aé.; van Tol, M-José. 2017: Neural basis of self-initiative in relation to apathy in a student sample. Scientific Reports 7(1): 3264
Erickson, M.A.; Hahn, B.; Kiat, J.E.; Alliende, L.M.; Luck, S.J.; Gold, J.M. 2021: Neural basis of the visual working memory deficit in schizophrenia: Merging evidence from fMRi and EEG. Schizophrenia Research 236: 61-68
Zhang, M.; Ma, C.; Luo, Y.; Li, J.; Li, Q.; Liu, Y.; Ding, C.; Qiu, J. 2016: Neural basis of uncertain cue processing in trait anxiety. Scientific Reports 6: 21298
Corrales Parada, C.D.; Morandi-Raikova, A.; Rosa-Salva, O.; Mayer, U. 2021: Neural basis of unfamiliar conspecific recognition in domestic chicks (Gallus Gallus domesticus). Behavioural Brain Research 397: 112927
Mukherjee, P.; Hartanto, T.; Iosif, A.-M.; Dixon, J.F.; Hinshaw, S.P.; Pakyurek, M.; van den Bos, W.; Guyer, A.E.; McClure, S.M.; Schweitzer, J.B.; Fassbender, C. 2021: Neural basis of working memory in ADHD: Load versus complexity. NEUROIMAGE. Clinical 30: 102662
Deng, M.; Zhang, X.; Bi, X.; Gao, C. 2021: Neural basis underlying the trait of attachment anxiety and avoidance revealed by the amplitude of low-frequency fluctuations and resting-state functional connectivity. Bmc Neuroscience 22(1): 11
Zhou, R.; Chen, J.; Zhao, G.; Wang, Z.; Peng, D.; Xia, W.; Mao, R.; Xu, J.; Wang, F.; Zhang, C.; Wang, Y.; Yuan, C.; Su, Y.; Huang, J.; Yang, T.; Wang, C.; Cui, L.; Wang, J.; Palaniyappan, L.; Fang, Y. 2021: Neural biomarker of functional disability in major depressive disorder: A structural neuroimaging study. ProgressinNeuro-PsychopharmacologyandBiologicalPsychiatry 2021: 110337
García-Muñoz Rodrigo, Fín.; Urquía Martí, L.; Galán Henríquez, G.; Rivero Rodríguez, S.; Hernández Gómez, A. 2018: Neural breathing patterns in preterm newborns supported with non-invasive neurally adjusted ventilatory assist. Journal of Perinatology: Official Journal of the California Perinatal Association 38(9): 1235-1241
Williams, E.; Payeur, A.; Gidon, A.; Naud, R. 2021: Neural burst codes disguised as rate codes. Scientific Reports 11(1): 15910
Steffener, J.; Barulli, D.; Hill, B. 2020: Neural capacity limits on the responses to memory interference during working memory in young and old adults. Plos one 15(8): E0236897
Stickford, A.S.L.; Stute, N.L.; Luck, J.C.; Goodman, T.; Stickford, J.L. 2021: Neural cardiovascular control is similar in female habitual exercisers and non-exercisers: a pilot study. Clinical Autonomic Research: Official Journal of the Clinical Autonomic Research Society 31(6): 775-778
Kim, B-Woo.; Son, H. 2006: Neural cell adhesion molecule (NCAM) induces neuronal phenotype acquisition in dominant negative MEK1-expressing hippocampal neural progenitor cells. Experimental and Molecular Medicine 38(6): 732-738
Shin, M.Hwa.; Lee, E-Gene.; Lee, S-Hun.; Lee, Y.Sung.; Son, H. 2002: Neural cell adhesion molecule (NCAM) promotes the differentiation of hippocampal precursor cells to a neuronal lineage, especially to a glutamatergic neural cell type. Experimental and Molecular Medicine 34(6): 401-410
Singh, K.; Jayaram, M.; Kaare, M.; Leidmaa, E.; Jagomäe, T.; Heinla, I.; Hickey, M.A.; Kaasik, A.; Schäfer, M.K.; Innos, Jürgen.; Lilleväli, K.; Philips, M-Anne.; Vasar, E. 2019: Neural cell adhesion molecule Negr1 deficiency in mouse results in structural brain endophenotypes and behavioral deviations related to psychiatric disorders. Scientific Reports 9(1): 5457
Grumet, M.; Rutishauser, U.; Edelman, G.M. 1982: Neural cell adhesion molecule is on embryonic muscle cells and mediates adhesion to nerve cells in vitro. Nature 295(5851): 693-695
Turner, C.A.; Lyons, D.M.; Buckmaster, C.L.; Aurbach, E.L.; Watson, S.J.; Schatzberg, A.F.; Akil, H. 2019: Neural cell adhesion molecule peptide mimetics modulate emotionality: pharmacokinetic and behavioral studies in rats and non-human primates. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 44(2): 356-363
Kruse, J.; Mailhammer, R.; Wernecke, H.; Faissner, A.; Sommer, I.; Goridis, C.; Schachner, M. 1984: Neural cell adhesion molecules and myelin-associated glycoprotein share a common carbohydrate moiety recognized by monoclonal antibodies L2 and HNK-1. Nature 311(5982): 153-155
Kim, J.Hyun.; Kim, I.; Seol, Y-Joon.; Ko, I.Kap.; Yoo, J.J.; Atala, A.; Lee, S.Jin. 2020: Neural cell integration into 3D bioprinted skeletal muscle constructs accelerates restoration of muscle function. Nature Communications 11(1): 1025
Goetzl, E.J.; Srihari, V.H.; Guloksuz, S.; Ferrara, M.; Tek, C.; Heninger, G.R. 2021: Neural cell-derived plasma exosome protein abnormalities implicate mitochondrial impairment in first episodes of psychosis. FASEB journal: official publication of the Federation of American Societies for Experimental Biology 35(2): e21339
Hui, S.P.; Nag, T.C.; Ghosh, S. 2020: Neural cells and their progenitors in regenerating zebrafish spinal cord. International Journal of Developmental Biology 64(4-5): 353-366
Stip, E.; Lungu, O.V.; Anselmo, K.; Letourneau, G.; Mendrek, A.; Stip, B.; Lipp, O.; Lalonde, P.; Bentaleb, L.A. 2012: Neural changes associated with appetite information processing in schizophrenic patients after 16 weeks of olanzapine treatment. Translational Psychiatry 2: E128
Isbel, B.; Weber, J.; Lagopoulos, J.; Stefanidis, K.; Anderson, H.; Summers, M.J. 2020: Neural changes in early visual processing after 6 months of mindfulness training in older adults. Scientific Reports 10(1): 21163
Yamazaki, Y.; Hikishima, K.; Saiki, M.; Inada, M.; Sasaki, E.; Lemon, R.N.; Price, C.J.; Okano, H.; Iriki, A. 2016: Neural changes in the primate brain correlated with the evolution of complex motor skills. Scientific Reports 6: 31084
Gompel, N.; Prud'homme, B. 2018: Neural circuit evolved to process pheromone differently in two species of fruit fly. Nature 559(7715): 485-487
Ranade, S. 2021: Neural circuit for limiting heroin choice and relapse. Nature Neuroscience 24(10): 1342
Mizusaki, B.E.P.; O'Donnell, C. 2021: Neural circuit function redundancy in brain disorders. Current Opinion in Neurobiology 70: 74-80
Lee, S.S.; Wu, M.N. 2020: Neural circuit mechanisms encoding motivational states in Drosophila. Current Opinion in Neurobiology 64: 135-142
Zha, X.; Xu, X.-H. 2021: Neural circuit mechanisms that govern inter-male attack in mice. Cellular and Molecular Life Sciences: Cmls 78(23): 7289-7307
El-Daher, F.ço.; Becker, C.G. 2020: Neural circuit reorganisation after spinal cord injury in zebrafish. Current Opinion in Genetics and Development 64: 44-51
Saper, C.B.; Romanovsky, A.A.; Scammell, T.E. 2012: Neural circuitry engaged by prostaglandins during the sickness syndrome. Nature Neuroscience 15(8): 1088-1095
Stout, D.M.; Shackman, A.J.; Pedersen, W.S.; Miskovich, T.A.; Larson, C.L. 2017: Neural circuitry governing anxious individuals' mis-allocation of working memory to threat. Scientific Reports 7(1): 8742
Zhao, W.; Kendrick, K.M.; Chen, F.; Li, H.; Feng, T. 2016: Neural circuitry involved in quitting after repeated failures: role of the cingulate and temporal parietal junction. Scientific Reports 6: 24713
Wang, F.; Wang, K.; Forknall, N.; Patrick, C.; Yang, T.; Parekh, R.; Bock, D.; Dickson, B.J. 2020: Neural circuitry linking mating and egg laying in Drosophila females. Nature 579(7797): 101-105
Bromberg-Martin, E.S.; Monosov, I.E. 2020: Neural circuitry of information seeking. Current Opinion in Behavioral Sciences 35: 62-70
Tan, T.; Wang, W.; Liu, T.; Zhong, P.; Conrow-Graham, M.; Tian, X.; Yan, Z. 2021: Neural circuits and activity dynamics underlying sex-specific effects of chronic social isolation stress. Cell Reports 34(12): 108874
Xiao, C.; Zhou, C-Yi.; Jiang, J-Hong.; Yin, C. 2020: Neural circuits and nicotinic acetylcholine receptors mediate the cholinergic regulation of midbrain dopaminergic neurons and nicotine dependence. Acta Pharmacologica Sinica 41(1): 1-9
Bahl, A.; Engert, F. 2020: Neural circuits for evidence accumulation and decision making in larval zebrafish. Nature Neuroscience 23(1): 94-102
Wang, F.; Kahnt, T. 2021: Neural circuits for inference-based decision-making. Current Opinion in Behavioral Sciences 41: 10-14
Shyu, W-Huan.; Chiu, T-Hsiang.; Chiang, M-Hsuan.; Cheng, Y-Chin.; Tsai, Y-Lun.; Fu, T-Feng.; Wu, T.; Wu, C-Lin. 2017: Neural circuits for long-term water-reward memory processing in thirsty Drosophila. Nature Communications 8: 15230
Diorio, C.; Rao, R.P. 2000: Neural circuits in silicon. Nature 405(6789): 891-892
Yamada, M.; Camerer, C.F.; Fujie, S.; Kato, M.; Matsuda, T.; Takano, H.; Ito, H.; Suhara, T.; Takahashi, H. 2012: Neural circuits in the brain that are activated when mitigating criminal sentences. Nature Communications 3: 759
Monti, L.; Liebowitz, M.R. 2022: Neural circuits of anxiolytic and antidepressant pherine molecules. Cns Spectrums 27(1): 66-72
Baek, J.; Lee, S.; Cho, T.; Kim, S-Wook.; Kim, M.; Yoon, Y.; Kim, K.Keun.; Byun, J.; Kim, S.Jeong.; Jeong, J.; Shin, H-Sup. 2019: Neural circuits underlying a psychotherapeutic regimen for fear disorders. Nature 566(7744): 339-343
Lohse, M.; Bajo, V.M.; King, A.J.; Willmore, B.D.B. 2020: Neural circuits underlying auditory contrast gain control and their perceptual implications. Nature Communications 11(1): 324
Zimmerman, C.A.; Leib, D.E.; Knight, Z.A. 2017: Neural circuits underlying thirst and fluid homeostasis. Nature Reviews. Neuroscience 18(8): 459-469
Yates, D. 2016: Neural circuits: A circuit to sigh for. Nature Reviews. Neuroscience 17(4): 198-199
Yates, D. 2017: Neural circuits: An angle on navigation. Nature Reviews. Neuroscience 18(7): 387
Whalley, K. 2018: Neural circuits: Balancing threats. Nature Reviews. Neuroscience 19(5): 254
Yates, D. 2015: Neural circuits: Consumption control. Nature Reviews. Neuroscience 16(12): 704
Yates, D. 2016: Neural circuits: Cortical replacements. Nature Reviews. Neuroscience 17(12): 737
Yates, D. 2014: Neural circuits: Getting colder. Nature Reviews. Neuroscience 15(11): 701
Welberg, L. 2014: Neural circuits: Grooming's innate, innit?. Nature Reviews. Neuroscience 15(11): 700-701
Yates, D. 2016: Neural circuits: Halting hunger. Nature Reviews. Neuroscience 17(12): 740
Lewis, S. 2017: Neural circuits: Hanging in the balance. Nature Reviews. Neuroscience 18(8): 455
Whalley, K. 2015: Neural circuits: Pain or pleasure?. Nature Reviews. Neuroscience 16(6): 316
Carr, F. 2015: Neural circuits: Pruning the projections. Nature Reviews. Neuroscience 16(7): 375
Eisenstein, M. 2009: Neural circuits: Putting neurons on the map. Nature 461(7267): 1149-1152
Bray, N. 2017: Neural circuits: Shock signals. Nature Reviews. Neuroscience 18(12): 710
Yates, D. 2017: Neural circuits: The influence of hunger. Nature Reviews. Neuroscience 18(8): 451
Yates, D. 2013: Neural circuits: To stay, or to go?. Nature Reviews. Neuroscience 14(10): 668-669
Carr, F. 2015: Neural circuits: Unpredictable turns in the worm. Nature Reviews. Neuroscience 16(5): 245
Yates, D. 2015: Neural circuits: a nucleus of fear. Nature Reviews. Neuroscience 16(3): 121
Bray, N. 2014: Neural circuits: putting a stop to feeding. Nature Reviews. Neuroscience 15(9): 564
Flight, M.Hoyos. 2013: Neural circuits: stop 'n' go. Nature Reviews. Neuroscience 14(3): 158
You, X.; Vlatkovic, I.; Babic, A.; Will, T.; Epstein, I.; Tushev, G.; Akbalik, Güney.; Wang, M.; Glock, C.; Quedenau, C.; Wang, X.; Hou, J.; Liu, H.; Sun, W.; Sambandan, S.; Chen, T.; Schuman, E.M.; Chen, W. 2015: Neural circular RNAs are derived from synaptic genes and regulated by development and plasticity. Nature Neuroscience 18(4): 603-610
Petrucci, M.N.; Neuville, R.S.; Afzal, M.F.; Velisar, A.; Anidi, C.M.; Anderson, R.W.; Parker, J.E.; O'Day, J.J.; Wilkins, K.B.; Bronte-Stewart, H.M. 2020: Neural closed-loop deep brain stimulation for freezing of gait. Brain Stimulation 13(5): 1320-1322
Rinnert, P.; Nieder, A. 2021: Neural Code of Motor Planning and Execution during Goal-Directed Movements in Crows. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 41(18): 4060-4072
Luna, R.; Hernández, Aán.; Brody, C.D.; Romo, R. 2005: Neural codes for perceptual discrimination in primary somatosensory cortex. Nature Neuroscience 8(9): 1210-1219
Choo, H.; Nasar, J.L.; Nikrahei, B.; Walther, D.B. 2017: Neural codes of seeing architectural styles. Scientific Reports 7: 40201
O'Connor, D.H.; Hires, S.Andrew.; Guo, Z.V.; Li, N.; Yu, J.; Sun, Q-Quan.; Huber, D.; Svoboda, K. 2013: Neural coding during active somatosensation revealed using illusory touch. Nature Neuroscience 16(7): 958-965
Kuhara, A.; Ohnishi, N.; Shimowada, T.; Mori, I. 2011: Neural coding in a single sensory neuron controlling opposite seeking behaviours in Caenorhabditis elegans. Nature Communications 2: 355
Cruz, G.; Lowe, G. 2013: Neural coding of binary mixtures in a structurally related odorant pair. Scientific Reports 3: 1220
Intveld, R.W.; Dann, B.; Michaels, J.A.; Scherberger, Hörg. 2018: Neural coding of intended and executed grasp force in macaque areas AIP, F5, and M1. Scientific Reports 8(1): 17985
Chambon, V.; Domenech, P.; Jacquet, P.O.; Barbalat, G.; Bouton, S.; Pacherie, E.; Koechlin, E.; Farrer, Cöé. 2017: Neural coding of prior expectations in hierarchical intention inference. Scientific Reports 7(1): 1278
Bray, N. 2017: Neural coding: Face values. Nature Reviews. Neuroscience 18(8): 456
Bray, N. 2017: Neural coding: Flexible in the face of distraction. Nature Reviews. Neuroscience 18(12): 709
Bray, N. 2018: Neural coding: Investigating social spaces. Nature Reviews. Neuroscience 19(2): 60
Whalley, K. 2015: Neural coding: Speed awareness. Nature Reviews. Neuroscience 16(9): 507
Whalley, K. 2010: Neural coding: predictive power. Nature Reviews. Neuroscience 11(2): 73
Whalley, K. 2013: Neural coding: timing is key in the olfactory system. Nature Reviews. Neuroscience 14(7): 458
Corinzia, L.; Laumer, F.; Candreva, A.; Taramasso, M.; Maisano, F.; Buhmann, J.M. 2020: Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. Artificial Intelligence in Medicine 110: 101975
Elman, J.A.; Oh, H.; Madison, C.M.; Baker, S.L.; Vogel, J.W.; Marks, S.M.; Crowley, S.; O'Neil, J.P.; Jagust, W.J. 2014: Neural compensation in older people with brain amyloid-β deposition. Nature Neuroscience 17(10): 1316-1318
Ammassari-Teule, M. 2020: Neural compensation in presymptomatic hAPP mouse models of Alzheimer's disease. Learning and Memory 27(9): 390-394
Dietziker, J.; Staib, M.; Frühholz, S. 2021: Neural competition between concurrent speech production and other speech perception. Neuroimage 228: 117710
Daly, I. 2021: Neural component analysis: a spatial filter for electroencephalogram analysis. Journal of Neuroscience Methods 348: 108987
Daly, I.; Rybar, M. 2020: Neural component analysis: source localisation for motor imagery classification. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020: 498-501
Carpenter, R.H.; Williams, M.L. 1995: Neural computation of log likelihood in control of saccadic eye movements. Nature 377(6544): 59-62
Homan, P.; Levy, I.; Feltham, E.; Gordon, C.; Hu, J.; Li, J.; Pietrzak, R.H.; Southwick, S.; Krystal, J.H.; Harpaz-Rotem, I.; Schiller, D. 2019: Neural computations of threat in the aftermath of combat trauma. Nature Neuroscience 22(3): 470-476
Park, S.A.; Sestito, M.; Boorman, E.D.; Dreher, J-Claude. 2019: Neural computations underlying strategic social decision-making in groups. Nature Communications 10(1): 5287
Hertz, U.; Palminteri, S.; Brunetti, S.; Olesen, C.; Frith, C.D.; Bahrami, B. 2017: Neural computations underpinning the strategic management of influence in advice giving. Nature Communications 8(1): 2191
Tozzi, A.; Ahmad, M.Z.; Peters, J.F. 2021: Neural computing in four spatial dimensions. Cognitive Neurodynamics 15(2): 349-357
Park, S.Mi.; Lee, J.Yoon.; Kim, Y.Jin.; Lee, J-Young.; Jung, H.Yeon.; Sohn, B.Kyung.; Kim, D.Jin.; Choi, J-Seok. 2017: Neural connectivity in Internet gaming disorder and alcohol use disorder: A resting-state EEG coherence study. Scientific Reports 7(1): 1333
Chen, Z.; Feng, P.; Becker, B.; Xu, T.; Nassar, M.R.; Sirois, F.; Hommel, B.; Zhang, C.; He, Q.; Qiu, J.; He, L.; Lei, X.; Chen, H.; Feng, T. 2021: Neural connectome prospectively encodes the risk of post-traumatic stress disorder (PTSD) symptom during the COVID-19 pandemic. Neurobiology of Stress 15: 100378
van Praag, H.; Kempermann, G.; Gage, F.H. 2000: Neural consequences of environmental enrichment. Nature Reviews. Neuroscience 1(3): 191-198
Sadtler, P.T.; Quick, K.M.; Golub, M.D.; Chase, S.M.; Ryu, S.I.; Tyler-Kabara, E.C.; Yu, B.M.; Batista, A.P. 2014: Neural constraints on learning. Nature 512(7515): 423-426
Spedding, M.; Ouvry, C.; Millan, M.; Duhault, J.; Dacquet, C.; Wurtman, R. 1996: Neural control of dieting. Nature 380(6574): 488
Hitrec, T.; Luppi, M.; Bastianini, S.; Squarcio, F.; Berteotti, C.; Lo Martire, V.; Martelli, D.; Occhinegro, A.; Tupone, D.; Zoccoli, G.; Amici, R.; Cerri, M. 2019: Neural control of fasting-induced torpor in mice. Scientific Reports 9(1): 15462
Sinderby, C.; Navalesi, P.; Beck, J.; Skrobik, Y.; Comtois, N.; Friberg, S.; Gottfried, S.B.; Lindström, L. 1999: Neural control of mechanical ventilation in respiratory failure. Nature Medicine 5(12): 1433-1436
Griffiths, D. 2015: Neural control of micturition in humans: a working model. Nature Reviews. Urology 12(12): 695-705
Buller, A.J.; Mommaerts, W.F.; Seraydarian, K. 1971: Neural control of myofibrillar ATPase activity in rat skeletal muscle. Nature: new Biology 233(35): 31-32
Giuliano, F.A.; Rampin, O.; Benoit, G.; Jardin, A. 1995: Neural control of penile erection. Urologic Clinics of North America 22(4): 747-766
Quinet, J.; Schultz, K.; May, P.J.; Gamlin, P.D. 2020: Neural control of rapid binocular eye movements: Saccade-vergence burst neurons. Proceedings of the National Academy of Sciences of the United States of America 117(46): 29123-29132
Lai, J.; Jedrzejczyk, J.; Pizzey, J.A.; Green, D.; Barnard, E.A. 1986: Neural control of the forms of acetylcholinesterase in slow mammalian muscles. Nature 321(6065): 72-74
Bartness, T.J.; Ryu, V. 2015: Neural control of white, beige and brown adipocytes. International Journal of Obesity Supplements 5(Suppl. 1): S35-S39
Margreth, A.; Salviati, G.; Carraro, U. 1973: Neural control on the activity of the calcium-transport system in sarcoplasmic reticulum of rat skeletal muscle. Nature 241(5387): 285-286
Pamir, Z.; Bauer, C.M.; Bailin, E.S.; Bex, P.J.; Somers, D.C.; Merabet, L.B. 2021: Neural correlates associated with impaired global motion perception in cerebral visual impairment (CVI). NEUROIMAGE. Clinical 32: 102821
Kim, J.N.; Shadlen, M.N. 1999: Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque. Nature Neuroscience 2(2): 176-185
Kao, Y-Ching.; Davis, E.S.; Gabrieli, J.D.E. 2005: Neural correlates of actual and predicted memory formation. Nature Neuroscience 8(12): 1776-1783
Wang, A-L.; Elman, I.; Lowen, S.B.; Blady, S.J.; Lynch, K.G.; Hyatt, J.M.; O'Brien, C.P.; Langleben, D.D. 2015: Neural correlates of adherence to extended-release naltrexone pharmacotherapy in heroin dependence. Translational Psychiatry 5: E531
Sylvester, T.; Liebig, J.; Jacobs, A.M. 2021: Neural correlates of affective contributions to lexical decisions in children and adults. Scientific Reports 11(1): 945
Wiers, C.E.; Stelzel, C.; Park, S.Q.; Gawron, C.K.; Ludwig, V.U.; Gutwinski, S.; Heinz, A.; Lindenmeyer, J.; Wiers, R.W.; Walter, H.; Bermpohl, F. 2014: Neural correlates of alcohol-approach bias in alcohol addiction: the spirit is willing but the flesh is weak for spirits. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 39(3): 688-697
Oi, H.; Hashimoto, T.; Nozawa, T.; Kanno, A.; Kawata, N.; Hirano, K.; Yamamoto, Y.; Sugiura, M.; Kawashima, R. 2017: Neural correlates of ambient thermal sensation: An fMRI study. Scientific Reports 7(1): 11279
Eshel, N.; Maron-Katz, A.; Wu, W.; Abu-Amara, D.; Marmar, C.R.; Etkin, A. 2021: Neural correlates of anger expression in patients with PTSD. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 2021
Abler, B.; Seeringer, A.; Hartmann, A.; Grön, G.; Metzger, C.; Walter, M.; Stingl, J. 2011: Neural correlates of antidepressant-related sexual dysfunction: a placebo-controlled fMRI study on healthy males under subchronic paroxetine and bupropion. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 36(9): 1837-1847
Yang, J.; Pourzinal, D.; McMahon, K.L.; Byrne, G.J.; Copland, D.A.; O'Sullivan, J.D.; Dissanayaka, N.N. 2021: Neural correlates of attentional deficits in Parkinson's disease patients with mild cognitive impairment. Parkinsonism and Related Disorders 85: 17-22
Ota, C.; Nakano, T. 2021: Neural correlates of beauty retouching to enhance attractiveness of self-depictions in women. Social Neuroscience 2021: 1-13
Wunderlich, K.; Schneider, K.A.; Kastner, S. 2005: Neural correlates of binocular rivalry in the human lateral geniculate nucleus. Nature Neuroscience 8(11): 1595-1602
Martin, A.; Wiggs, C.L.; Ungerleider, L.G.; Haxby, J.V. 1996: Neural correlates of category-specific knowledge. Nature 379(6566): 649-652
Beck, D.M.; Rees, G.; Frith, C.D.; Lavie, N. 2001: Neural correlates of change detection and change blindness. Nature Neuroscience 4(6): 645-650
Sretavan Wong, K.; Migó, M.; Dougherty, D.D.; Ghaemi, S.N. 2021: Neural correlates of citalopram and placebo response in acute bipolar depression: a randomized trial. Journal of Psychiatric Research 138: 463-466
Wang, C.-H.; Lin, C.-C.; Moreau, D.; Yang, C.-T.; Liang, W.-K. 2020: Neural correlates of cognitive processing capacity in elite soccer players. Biological Psychology 157: 107971
Iuculano, T.; Padmanabhan, A.; Chen, L.; Nicholas, J.; Mitsven, S.; de Los Angeles, C.; Menon, V. 2020: Neural correlates of cognitive variability in childhood autism and relation to heterogeneity in decision-making dynamics. Developmental Cognitive Neuroscience 42: 100754
Morey, R.A.; Haswell, C.C.; Stjepanović, D.; Dunsmoor, J.E.; LaBar, K.S.; Brancu, M.; Beckham, J.C.; Calhoun, P.S.; Dedert, E.; Elbogen, E.B.; Fairbank, J.A.; Tupler, L.A.; Van Voorhees, E.E.; Wagner, H.Ryan.; Kimbrel, N.A.; Kirby, A.; Marx, C.E.; Kilts, J.D.; Moore, S.D.; Naylor, J.C.; Swinkels, C.; Szabo, S.T.; Hurley, R.A.; Rowland, J.; Yoash-Gantz, R.E.; Taber, K.H.; McDonald, S.D. 2020: Neural correlates of conceptual-level fear generalization in posttraumatic stress disorder. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 45(8): 1380-1389
Kim, J.; Jung, J.; Nam, K. 2021: Neural correlates of confusability in recognition of morphologically complex Korean words. Plos one 16(4): E0249111
Grund, M.; Forschack, N.; Nierhaus, T.; Villringer, A. 2021: Neural correlates of conscious tactile perception: An analysis of BOLD activation patterns and graph metrics. Neuroimage 224: 117384
Rees, G.; Kreiman, G.; Koch, C. 2002: Neural correlates of consciousness in humans. Nature Reviews. Neuroscience 3(4): 261-270
Koch, C.; Massimini, M.; Boly, M.; Tononi, G. 2016: Neural correlates of consciousness: progress and problems. Nature Reviews. Neuroscience 17(5): 307-321
Zhong, F.; Dong, Y.; Liu, Y. 2022: Neural correlates of contributions of interpreting training to second language semantic integration. Quarterly Journal of Experimental Psychology 75(1): 118-129
Bushara, K.O.; Hanakawa, T.; Immisch, I.; Toma, K.; Kansaku, K.; Hallett, M. 2003: Neural correlates of cross-modal binding. Nature Neuroscience 6(2): 190-195
Schmitgen, M.M.; Horvath, J.; Mundinger, C.; Wolf, N.D.; Sambataro, F.; Hirjak, D.; Kubera, K.M.; Koenig, J.; Wolf, R.C. 2020: Neural correlates of cue reactivity in individuals with smartphone addiction. Addictive Behaviors 108: 106422
Genauck, A.; Matthis, C.; Andrejevic, M.; Ballon, L.; Chiarello, F.; Duecker, K.; Heinz, A.; Kathmann, N.; Romanczuk-Seiferth, N. 2021: Neural correlates of cue-induced changes in decision-making distinguish subjects with gambling disorder from healthy controls. Addiction Biology 26(3): E12951
Medina, L.D.; Heffernan, K.; Holden, S.; Simpson, A.; Bettcher, B.M. 2021: Neural correlates of daily function: a pilot study of the white matter retrogenesis hypothesis and three separate performance-based functional assessments. Neuropsychology 35(1): 103-110
Platt, M.L.; Glimcher, P.W. 1999: Neural correlates of decision variables in parietal cortex. Nature 400(6741): 233-238
Naaz, F.; Chen, L.; Gold, A.I.; Samuels, J.; Krasnow, J.; Wang, Y.; Nestadt, P.; Kamath, V.; Chib, V.S.; Nestadt, G.; Bakker, A. 2021: Neural correlates of doubt in decision-making. Psychiatry Research. Neuroimaging 317: 111370
Jensen, S.K.G.; Kumar, S.; Xie, W.; Tofail, F.; Haque, R.; Petri, W.A.; Nelson, C.A. 2019: Neural correlates of early adversity among Bangladeshi infants. Scientific Reports 9(1): 3507
Oliva, A.; Torre, S.; Taranto, P.; Delvecchio, G.; Brambilla, P. 2021: Neural correlates of emotional processing in panic disorder: a mini review of functional magnetic resonance imaging studies. Journal of Affective Disorders 282: 906-914
Lee, K.Hwa.; Lee, H.Young.; Park, I.; Lee, Y.Jin.; Kim, N.; Jeon, S.; Kim, S.; Jeon, J.Eun.; Kim, S.Ju. 2021: Neural correlates of emotional reactivity and regulation in traumatized North Korean refugees. Translational Psychiatry 11(1): 452
Yoo, J.; Min, S.; Lee, S.-K.; Han, S. 2021: Neural correlates of episodic memory modulated by temporally delayed rewards. Plos one 16(4): E0249290
Pisauro, M.Andrea.; Fouragnan, E.; Retzler, C.; Philiastides, M.G. 2017: Neural correlates of evidence accumulation during value-based decisions revealed via simultaneous EEG-fMRI. Nature Communications 8: 15808
Levakov, G.; Kaplan, A.; Yaskolka Meir, A.; Rinott, E.; Tsaban, G.; Zelicha, H.; Meiran, N.; Shelef, I.; Shai, I.; Avidan, G. 2021: Neural correlates of future weight loss reveal a possible role for brain-gastric interactions. Neuroimage 224: 117403
Meyer-Lindenberg, A.; Hariri, A.R.; Munoz, K.E.; Mervis, C.B.; Mattay, V.S.; Morris, C.A.; Berman, K.Faith. 2005: Neural correlates of genetically abnormal social cognition in Williams syndrome. Nature Neuroscience 8(8): 991-993
Inubushi, T.; Ito, M.; Mori, Y.; Futatsubashi, M.; Sato, K.; Ito, S.; Yokokura, M.; Shinke, T.; Kameno, Y.; Kakimoto, A.; Kanno, T.; Okada, H.; Ouchi, Y.; Yoshikawa, E. 2021: Neural correlates of head restraint: Unsolicited neuronal activation and dopamine release. Neuroimage 224: 117434
Fletcher, P.; Tyler, L. 2002: Neural correlates of human memory. Nature Neuroscience 5(1): 8-9
Pietrini, P.; Guazzelli, M.; Basso, G.; Jaffe, K.; Grafman, J. 2000: Neural correlates of imaginal aggressive behavior assessed by positron emission tomography in healthy subjects. American Journal of Psychiatry 157(11): 1772-1781
Aytemur, A.; Lee, K.-H.; Levita, L. 2021: Neural correlates of implicit agency during the transition from adolescence to adulthood: An ERP study. Neuropsychologia 158: 107908
Krekelberg, B.; Dannenberg, S.; Hoffmann, K-Peter.; Bremmer, F.; Ross, J. 2003: Neural correlates of implied motion. Nature 424(6949): 674-677
Li, C-shan.Ray.; Huang, C.; Yan, P.; Bhagwagar, Z.; Milivojevic, V.; Sinha, R. 2008: Neural correlates of impulse control during stop signal inhibition in cocaine-dependent men. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 33(8): 1798-1806
DeVito, E.E.; Meda, S.A.; Jiantonio, R.; Potenza, M.N.; Krystal, J.H.; Pearlson, G.D. 2013: Neural correlates of impulsivity in healthy males and females with family histories of alcoholism. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 38(10): 1854-1863
Tost, H.; Reichert, M.; Braun, U.; Reinhard, I.; Peters, R.; Lautenbach, S.; Hoell, A.; Schwarz, E.; Ebner-Priemer, U.; Zipf, A.; Meyer-Lindenberg, A. 2019: Neural correlates of individual differences in affective benefit of real-life urban green space exposure. Nature Neuroscience 22(9): 1389-1393
Li, G.; Chen, Y.; Le, T.M.; Wang, W.; Tang, X.; Li, C-Shan.R. 2021: Neural correlates of individual variation in two-back working memory and the relationship with fluid intelligence. Scientific Reports 11(1): 9980
van Rooij, S.J.H.; Geuze, E.; Kennis, M.; Rademaker, A.R.; Vink, M. 2015: Neural correlates of inhibition and contextual cue processing related to treatment response in PTSD. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 40(3): 667-675
Weafer, J.; Gorka, S.M.; Dzemidzic, M.; Kareken, D.A.; Luan Phan, K.; de Wit, H. 2021: Neural correlates of inhibitory control are associated with stimulant-like effects of alcohol. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 2021
Finlayson-Short, L.; Davey, C.G.; Harrison, B.J. 2020: Neural correlates of integrated self and social processing. Social Cognitive and Affective Neuroscience 15(9): 941-949
Nicolas, G.ël.; Castet, E.; Rabier, A.; Kristensen, E.; Dojat, M.; Guérin-Dugué, A. 2021: Neural correlates of intra-saccadic motion perception. Journal of Vision 21(11): 19
Mulraney, M.; Sciberras, E.; Gulenc, A.; Efron, D.; Hazell, P.; Silk, T.J. 2021: Neural correlates of irritability in a community sample of children. Journal of Affective Disorders 292: 223-226
Liu, S.; Chow, H.Ming.; Xu, Y.; Erkkinen, M.G.; Swett, K.E.; Eagle, M.W.; Rizik-Baer, D.A.; Braun, A.R. 2012: Neural correlates of lyrical improvisation: an FMRI study of freestyle rap. Scientific Reports 2: 834
Kaplan, J.T.; Gimbel, S.I.; Harris, S. 2016: Neural correlates of maintaining one's political beliefs in the face of counterevidence. Scientific Reports 6: 39589
Courson, M.; Tremblay, P. 2020: Neural correlates of manual action language: Comparative review, ALE meta-analysis and ROi meta-analysis. Neuroscience and Biobehavioral Reviews 116: 221-238
Grebe, N.M.; Sharma, A.; Freeman, S.M.; Palumbo, M.C.; Patisaul, H.B.; Bales, K.L.; Drea, C.M. 2021: Neural correlates of mating system diversity: oxytocin and vasopressin receptor distributions in monogamous and non-monogamous Eulemur. Scientific Reports 11(1): 3746
Cisek, P.; Kalaska, J.F. 2004: Neural correlates of mental rehearsal in dorsal premotor cortex. Nature 431(7011): 993-996
Overhoff, H.; Ko, Y.H.; Feuerriegel, D.; Fink, G.R.; Stahl, J.; Weiss, P.H.; Bode, S.; Niessen, E. 2021: Neural correlates of metacognition across the adult lifespan. Neurobiology of Aging 108: 34-46
Rosenbaum, D.; Kroczek, A.M.; Hudak, J.; Rubel, J.; Maier, M.J.; Sorg, T.; Weisbender, L.; Goldau, L.; Mennin, D.; Fresco, D.M.; Fallgatter, A.J.; Ehlis, A-Christine. 2020: Neural correlates of mindful emotion regulation in high and low ruminators. Scientific Reports 10(1): 15617
Ruitenberg, M.F.L.; Koppelmans, V.; De Dios, Y.E.; Gadd, N.E.; Wood, S.J.; Reuter-Lorenz, P.A.; Kofman, I.; Bloomberg, J.J.; Mulavara, A.P.; Seidler, R.D. 2018: Neural correlates of multi-day learning and savings in sensorimotor adaptation. Scientific Reports 8(1): 14286
Gu, Y.; Angelaki, D.E.; Deangelis, G.C. 2008: Neural correlates of multisensory cue integration in macaque MSTd. Nature Neuroscience 11(10): 1201-1210
Catricalà, E.; Polito, C.; Presotto, L.; Esposito, V.; Sala, A.; Conca, F.; Gasparri, C.; Berti, V.; Filippi, M.; Pupi, A.; Sorbi, S.; Iannaccone, S.; Magnani, G.; Cappa, S.F.; Perani, D. 2020: Neural correlates of naming errors across different neurodegenerative diseases: An FDG-PET study. Neurology 95(20): E2816-E2830
Delikishkina, E.; Lingnau, A.; Miceli, G. 2020: Neural correlates of object and action naming practice. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior 131: 87-102
Law, C-Tat.; Gold, J.I. 2008: Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area. Nature Neuroscience 11(4): 505-513
Stoner, G.R.; Albright, T.D. 1992: Neural correlates of perceptual motion coherence. Nature 358(6385): 412-414
Lei, M.; Zhang, C.; Li, L. 2018: Neural correlates of perceptual separation-induced enhancement of prepulse inhibition of startle in humans. Scientific Reports 8(1): 472
Chao, P.-C.; Chen, W.-F.; Zevin, J.; Lee, C.-Y. 2021: Neural correlates of phonology-to-orthography mapping consistency effects on Chinese spoken word recognition. Brain and Language 219: 104961
Khundrakpam, B.; Vainik, U.; Gong, J.; Al-Sharif, N.; Bhutani, N.; Kiar, G.; Zeighami, Y.; Kirschner, M.; Luo, C.; Dagher, A.; Evans, A. 2020: Neural correlates of polygenic risk score for autism spectrum disorders in general population. Brain Communications 2(2): Fcaa 092
Vanes, L.D.; Mouchlianitis, E.; Patel, K.; Barry, E.; Wong, K.; Thomas, M.; Szentgyorgyi, T.; Joyce, D.; Shergill, S. 2019: Neural correlates of positive and negative symptoms through the illness course: an fMRI study in early psychosis and chronic schizophrenia. Scientific Reports 9(1): 14444
Horne, E.D.; de Chastelaine, M.; Rugg, M.D. 2021: Neural correlates of post-retrieval monitoring in older adults are preserved under divided attention, but are decoupled from memory performance. Neurobiology of Aging 97: 106-119
Li, G.; Cao, C.; Fang, R.; Liu, P.; Luo, S.; Liberzon, I.; Wang, L. 2021: Neural correlates of posttraumatic anhedonia symptoms: Decreased functional connectivity between ventral pallidum and default mode network regions. Journal of Psychiatric Research 140: 30-34
Davis, K.D.; Pope, G.E.; Crawley, A.P.; Mikulis, D.J. 2002: Neural correlates of prickle sensation: a percept-related fMRI study. Nature Neuroscience 5(11): 1121-1122
Brevers, D.; He, Q.; Keller, B.; Noël, X.; Bechara, A. 2017: Neural correlates of proactive and reactive motor response inhibition of gambling stimuli in frequent gamblers. Scientific Reports 7(1): 7394
Schettler, L.; Thomasius, R.; Paschke, K. 2022: Neural correlates of problematic gaming in adolescents: a systematic review of structural and functional magnetic resonance imaging studies. Addiction Biology 27(1): E13093
Fetsch, C.R.; Pouget, A.; DeAngelis, G.C.; Angelaki, D.E. 2011: Neural correlates of reliability-based cue weighting during multisensory integration. Nature Neuroscience 15(1): 146-154
Belleville, S.; Mellah, S.; Cloutier, S.; Dang-Vu, T.T.; Duchesne, S.; Maltezos, S.; Phillips, N.; Hudon, C. 2021: Neural correlates of resilience to the effects of hippocampal atrophy on memory. NEUROIMAGE. Clinical 29: 102526
Galván, A.; Poldrack, R.A.; Baker, C.M.; McGlennen, K.M.; London, E.D. 2011: Neural correlates of response inhibition and cigarette smoking in late adolescence. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 36(5): 970-978
Kilian, C.; Bröckel, K.L.; Overmeyer, R.; Dieterich, R.; Endrass, T. 2020: Neural correlates of response inhibition and performance monitoring in binge watching. International Journal of Psychophysiology: Official Journal of the International Organization of Psychophysiology 158: 1-8
Xu, Q.; Zhang, J.; Grandjean, J.; Tan, C.; Subbaraju, V.; Li, L.; Lee, K.Jin.; Hsieh, P-Jang.; Lim, J-Hwee. 2020: Neural correlates of retrieval-based enhancement of autobiographical memory in older adults. Scientific Reports 10(1): 1447
Tavares, T.P.; Mitchell, D.G.V.; Coleman, K.K.L.; Finger, E. 2021: Neural correlates of reversal learning in frontotemporal dementia. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior 143: 92-108
Grill, F.; Nyberg, L.; Rieckmann, A. 2021: Neural correlates of reward processing: Functional dissociation of two components within the ventral striatum. Brain and Behavior 11(2): E01987
Tau, G.Z.; Marsh, R.; Wang, Z.; Torres-Sanchez, T.; Graniello, B.; Hao, X.; Xu, D.; Packard, M.G.; Duan, Y.; Kangarlu, A.; Martinez, D.; Peterson, B.S. 2014: Neural correlates of reward-based spatial learning in persons with cocaine dependence. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 39(3): 545-555
Zalta, A.; Hou, J.-C.; Thonnat, M.; Bartolomei, F.; Morillon, B.; McGonigal, A. 2020: Neural correlates of rhythmic rocking in prefrontal seizures. Neurophysiologie Clinique 50(5): 331-338
Foilb, A.R.; Sansaricq, G.N.; Zona, E.E.; Fernando, K.; Christianson, J.P. 2021: Neural correlates of safety learning. Behavioural Brain Research 396: 112884
Malejko, K.; Tumani, V.; Rau, V.; Neumann, F.; Plener, P.L.; Fegert, J.M.; Abler, B.; Straub, J. 2020: Neural correlates of script-driven imagery in adolescents with interpersonal traumatic experiences: a pilot study. Psychiatry Research. Neuroimaging 303: 111131
McLaughlin, J.; Osterhout, L.; Kim, A. 2004: Neural correlates of second-language word learning: minimal instruction produces rapid change. Nature Neuroscience 7(7): 703-704
Van Buuren, M.ët.; Walsh, R.J.; Sijtsma, H.; Hollarek, M.; Lee, N.C.; Bos, P.A.; Krabbendam, L. 2020: Neural correlates of self- and other-referential processing in young adolescents and the effects of testosterone and peer similarity. Neuroimage 219: 117060
Barendse, M.E.A.; Cosme, D.; Flournoy, J.C.; Vijayakumar, N.; Cheng, T.W.; Allen, N.B.; Pfeifer, J.H. 2020: Neural correlates of self-evaluation in relation to age and pubertal development in early adolescent girls. Developmental Cognitive Neuroscience 44: 100799
Raucher-Chéné, D.; Obert, A.; Gierski, F.; Benzerouk, F.; Terrien, S.; Barrière, S.; Portefaix, C.; Besche-Richard, C.; Kaladjian, A. 2021: Neural correlates of semantic ambiguity resolution in paucisymptomatic bipolar disorder patients. Psychiatry Research. Neuroimaging 316: 111346
Zito, G.A.; Wiest, R.; Aybek, S. 2020: Neural correlates of sense of agency in motor control: a neuroimaging meta-analysis. Plos one 15(6): E0234321
Binder, J.R.; Liebenthal, E.; Possing, E.T.; Medler, D.A.; Ward, B.Douglas. 2004: Neural correlates of sensory and decision processes in auditory object identification. Nature Neuroscience 7(3): 295-301
Itahashi, T.; Fujino, J.; Sato, T.; Ohta, H.; Nakamura, M.; Kato, N.; Hashimoto, R.-I.; Di Martino, A.; Aoki, Y.Y. 2020: Neural correlates of shared sensory symptoms in autism and attention-deficit/hyperactivity disorder. Brain Communications 2(2): Fcaa 186
Shum, J.; Fanda, L.; Dugan, P.; Doyle, W.K.; Devinsky, O.; Flinker, A. 2020: Neural correlates of sign language production revealed by electrocorticography. Neurology 95(21): E2880-E2889
O'Herron, P.; Chhatbar, P.Y.; Levy, M.; Shen, Z.; Schramm, A.E.; Lu, Z.; Kara, P. 2016: Neural correlates of single-vessel haemodynamic responses in vivo. Nature 534(7607): 378-382
Johari, K.; Behroozmand, R. 2021: Neural correlates of speech and limb motor timing deficits revealed by aberrant beta band desynchronization in Parkinson's disease. Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology 132(10): 2711-2721
Lin, X.A.; Wang, C.; Zhou, J.; Sai, L.; Fu, G. 2021: Neural correlates of spontaneous deception in a non-competitive interpersonal scenario: a functional near-infrared spectroscopy (fNIRS) study. Brain and Cognition 150: 105704
Mori, Y.; Yoshikawa, E.; Futatsubashi, M.; Ouchi, Y. 2020: Neural correlates of standing imagery and execution in Parkinsonian patients: the relevance to striatal dopamine dysfunction. Plos one 15(10): E0240998
Jesuthasan, S.; Krishnan, S.; Cheng, R-Kuang.; Mathuru, A. 2020: Neural correlates of state transitions elicited by a chemosensory danger cue. ProgressinNeuro-PsychopharmacologyandBiologicalPsychiatry 2020: 110110
Wade-Bohleber, L.M.; Thoma, R.; Gerber, A.J. 2020: Neural correlates of subjective arousal and valence in health and panic disorder. Psychiatry Research. Neuroimaging 305: 111186
Murai, S.A.; Riquimaroux, H. 2021: Neural correlates of subjective comprehension of noise-vocoded speech. Hearing Research 405: 108249
Arnold, D.H.; Hohaia, W.; Yarrow, K. 2020: Neural correlates of subjective timing precision and confidence. Scientific Reports 10(1): 3098
Dahlgren, K.; Ferris, C.; Hamann, S. 2020: Neural correlates of successful emotional episodic encoding and retrieval: An SDM meta-analysis of neuroimaging studies. Neuropsychologia 143: 107495
Kim, J.-H.; Kim, J.; Yeon, J.; Park, J.-Y.; Chung, D.; Kim, S.-P. 2021: Neural correlates of tactile hardness intensity perception during active grasping. Peerj 9: E11760
Kimura, T.; Kadota, H.; Kuroda, T.; Funai, T.D.; Iwata, M.; Kochiyama, T.; Miyazaki, M. 2019: Neural correlates of tactile simultaneity judgement: a functional magnetic resonance imaging study. Scientific Reports 9(1): 19481
Meghanathan, R.N.; van Leeuwen, C.; Giannini, M.; Nikolaev, A.R. 2020: Neural correlates of task-related refixation behavior. Vision Research 175: 90-101
Timmermann, C.; Roseman, L.; Schartner, M.; Milliere, R.; Williams, L.T.J.; Erritzoe, D.; Muthukumaraswamy, S.; Ashton, M.; Bendrioua, A.; Kaur, O.; Turton, S.; Nour, M.M.; Day, C.M.; Leech, R.; Nutt, D.J.; Carhart-Harris, R.L. 2019: Neural correlates of the DMT experience assessed with multivariate EEG. Scientific Reports 9(1): 16324
Matsuo, T.; Ishii, A.; Ishida, R.; Minami, T.; Yoshikawa, T. 2021: Neural correlates of the improvement of cognitive performance resulting from enhanced sense of competence: a magnetoencephalography study. Plos one 16(7): E0255272
Liu, H.; Zhang, Q. 2020: Neural correlates of the mechanism underlying negative response repetition effects in task-switching. Brain and Cognition 145: 105627
Bailey, L.M.; Bodner, G.E.; Matheson, H.E.; Stewart, B.M.; Roddick, K.; O'Neil, K.; Simmons, M.; Lambert, A.M.; Krigolson, O.E.; Newman, A.J.; Fawcett, J.M. 2021: Neural correlates of the production effect: An fMRi study. Brain and Cognition 152: 105757
Hollmann, M.; Hellrung, L.; Pleger, B.; Schlögl, H.; Kabisch, S.; Stumvoll, M.; Villringer, A.; Horstmann, A. 2012: Neural correlates of the volitional regulation of the desire for food. International Journal of Obesity 36(5): 648-655
Borbás, R.ék.; Fehlbaum, L.V.; Rudin, U.; Stadler, C.; Raschle, N.M. 2021: Neural correlates of theory of mind in children and adults using CAToon: Introducing an open-source child-friendly neuroimaging task. Developmental Cognitive Neuroscience 49: 100959
Gao, Y.; Rogers, J.C.; Pauli, R.; Clanton, R.; Baker, R.; Birch, P.; Ferreira, L.; Brown, A.; Freitag, C.M.; Fairchild, G.; Rotshtein, P.; De Brito, S.A. 2019: Neural correlates of theory of mind in typically-developing youth: Influence of sex, age and callous-unemotional traits. Scientific Reports 9(1): 16216
Spetter, M.S.; Higgs, S.; Dolmans, D.; Thomas, J.M.; Reniers, R.L.E.P.; Rotshtein, P.; Rutters, F. 2020: Neural correlates of top-down guidance of attention to food: An fMRi study. Physiology and Behavior 225: 113085
Aarts, I.; Vriend, C.; Snoek, A.; van den End, A.; Blankers, M.; Beekman, A.T.F.; Dekker, J.; van den Heuvel, O.A.; Thomaes, K. 2021: Neural correlates of treatment effect and prediction of treatment outcome in patients with PTSD and comorbid personality disorder: study design. Borderline Personality Disorder and Emotion Dysregulation 8(1): 13
Iordanova, M.D.; Deroche, M.L.D.; Esber, G.R.; Schoenbaum, G. 2016: Neural correlates of two different types of extinction learning in the amygdala central nucleus. Nature Communications 7: 12330
Restivo, M.R.; Hall, G.B.; Frey, B.N.; McKinnon, M.C.; Taylor, V.H. 2020: Neural correlates of verbal recognition memory in obese adults with and without major depressive disorder. Brain and behavior 2020: e01848
Ciumas, C.; Montavont, A.; Ilski, F.; Laurent, A.; Saignavongs, M.; Lachaux, J.-P.; de Bellescize, J.; Panagiotakaki, E.; Ostrowsky-Coste, K.; Herbillon, V.; Ibarrola, D.; Hermier, M.; Arzimanoglou, A.; Ryvlin, P. 2020: Neural correlates of verbal working memory in children with epilepsy with centro-temporal spikes. NEUROIMAGE. Clinical 28: 102392
van der Stouwe, E.C.D.; van Busschbach, J.T.; Opmeer, E.M.; de Vries, B.; Marsman, J-Bernard.C.; Aleman, Aé.; Pijnenborg, G.H.M. 2019: Neural correlates of victimization in psychosis: differences in brain response to angry faces. Npj Schizophrenia 5(1): 14
Kral, T.R.A.; Stodola, D.E.; Birn, R.M.; Mumford, J.A.; Solis, E.; Flook, L.; Patsenko, E.G.; Anderson, C.G.; Steinkuehler, C.; Davidson, R.J. 2018: Neural correlates of video game empathy training in adolescents: a randomized trial. Npj Science of Learning 3: 13
Purcell, J.R.; Jahn, A.; Fine, J.M.; Brown, J.W. 2021: Neural correlates of visual attention during risky decision evidence integration. Neuroimage 234: 117979
Lin, S.; Owald, D.; Chandra, V.; Talbot, C.; Huetteroth, W.; Waddell, S. 2014: Neural correlates of water reward in thirsty Drosophila. Nature Neuroscience 17(11): 1536-1542
Fischer, E.K.; Alvarez, H.; Lagerstrom, K.M.; McKinney, J.E.; Petrillo, R.; Ellis, G.; O'Connell, L.A. 2020: Neural correlates of winning and losing fights in poison frog tadpoles. Physiology and Behavior 223: 112973
Zhou, X.; Zhu, D.; Qi, X-Lian.; Li, S.; King, S.G.; Salinas, E.; Stanford, T.R.; Constantinidis, C. 2016: Neural correlates of working memory development in adolescent primates. Nature Communications 7: 13423
Kawamichi, H.; Sugawara, S.K.; Hamano, Y.H.; Kitada, R.; Nakagawa, E.; Kochiyama, T.; Sadato, N. 2018: Neural correlates underlying change in state self-esteem. Scientific Reports 8(1): 1798
Zhang, D.; Xie, H.; Liu, Y.; Luo, Y. 2016: Neural correlates underlying impaired memory facilitation and suppression of negative material in depression. Scientific Reports 6: 37556
Hirao, T.; Masaki, H. 2021: Neural correlates underpinning synchronized movement of double scull rowers. Scientific Reports 11(1): 2981
Kepecs, A.; Uchida, N.; Zariwala, H.A.; Mainen, Z.F. 2008: Neural correlates, computation and behavioural impact of decision confidence. Nature 455(7210): 227-231
Averbeck, B.B.; Latham, P.E.; Pouget, A. 2006: Neural correlations, population coding and computation. Nature Reviews. Neuroscience 7(5): 358-366
Maro, Géraldine.S.; Vermeren, M.; Voiculescu, O.; Melton, L.; Cohen, J.; Charnay, P.; Topilko, P. 2004: Neural crest boundary cap cells constitute a source of neuronal and glial cells of the PNS. Nature Neuroscience 7(9): 930-938
Girolamo, F.; de Trizio, I.; Errede, M.; Longo, G.; d'Amati, A.; Virgintino, D. 2021: Neural crest cell-derived pericytes act as pro-angiogenic cells in human neocortex development and gliomas. Fluids and Barriers of the Cns 18(1): 14
Grocott, T.; Johnson, S.; Bailey, A.P.; Streit, A. 2011: Neural crest cells organize the eye via TGF-β and canonical Wnt signalling. Nature Communications 2: 265
Bencomo-Loeppky, S.; García-Rizk, J.A.; Cervantes-Flores, H.A.; Levario-Carrillo, M.; Fierro Murga, R.; Reza-López, S.A.; Loya-Loya, M.; Chávez-Corral, D.V. 2020: Neural crest derivatives and neuroendocrine cells in the gut of anencephalic and fetuses without congenital defects. Birth Defects Research 112(19): 1720-1732
Artinger, K.B.; Monsoro-Burq, A.H. 2021: Neural crest multipotency and specification: power and limits of single cell transcriptomic approaches. Faculty Reviews 10: 38
Matsuoka, T.; Ahlberg, P.E.; Kessaris, N.; Iannarelli, P.; Dennehy, U.; Richardson, W.D.; McMahon, A.P.; Koentges, G. 2005: Neural crest origins of the neck and shoulder. Nature 436(7049): 347-355
Rios, A.C.; Serralbo, O.; Salgado, D.; Marcelle, C. 2011: Neural crest regulates myogenesis through the transient activation of NOTCH. Nature 473(7348): 532-535
Gammill, L.S.; Bronner-Fraser, M.; Bronner-Fraser, M. 2003: Neural crest specification: migrating into genomics. Nature Reviews. Neuroscience 4(10): 795-805
Abe, R.; Yamauchi, K.; Kuniyoshi, K.; Suzuki, T.; Matsuura, Y.; Ohtori, S.; Takahashi, K. 2021: Neural crest stem cells can be induced in vitro from human-induced pluripotent stem cells using a novel protocol free of feeder cells. Journal of Rural Medicine: Jrm 16(3): 143-147
Moghadasi Boroujeni, S.; Koontz, A.; Tseropoulos, G.; Kerosuo, L.; Mehrotra, P.; Bajpai, V.K.; Selvam, S.Rajan.; Lei, P.; Bronner, M.E.; Andreadis, S.T. 2019: Neural crest stem cells from human epidermis of aged donors maintain their multipotency in vitro and in vivo. Scientific Reports 9(1): 9750
Khaliq Fard, M.; Fallah, A.; Maleki, A. 2020: Neural decoding of continuous upper limb movements: a meta-analysis. Disability and Rehabilitation. Assistive Technology 2020: 1-7
Pieters, T.; Sanders, E.; Tian, H.; van Hengel, J.; van Roy, F. 2020: Neural defects caused by total and Wnt1-Cre mediated ablation of p120ctn in mice. Bmc Developmental Biology 20(1): 17
Eryilmaz, H.; Rodriguez-Thompson, A.; Tanner, A.S.; Giegold, M.; Huntington, F.C.; Roffman, J.L. 2017: Neural determinants of human goal-directed vs. habitual action control and their relation to trait motivation. Scientific Reports 7(1): 6002
Ohashi, H.; Ostry, D.J. 2021: Neural Development of Speech Sensorimotor Learning. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 41(18): 4023-4035
Lewis, S. 2018: Neural development: 'Enhancing' human cognition. Nature Reviews. Neuroscience 19(3): 120-121
Whalley, K. 2012: Neural development: A fruitless sexual switch. Nature Reviews. Neuroscience 13(8): 516
Bray, N. 2014: Neural development: Astrocyte semaphores guide circuit formation. Nature Reviews. Neuroscience 15(6): 352-353
Yates, D. 2013: Neural development: Breaking before branching. Nature Reviews. Neuroscience 14(8): 520
Yates, D. 2012: Neural development: Clustering connections. Nature Reviews. Neuroscience 13(2): 74-75
Whalley, K. 2013: Neural development: Compartmentalized calcium triggers pruning. Nature Reviews. Neuroscience 14(7): 459
Lewis, S. 2013: Neural development: Double agent sonic hedgehog. Nature Reviews. Neuroscience 14(10): 666-667
Lewis, S. 2011: Neural development: From floorplate to function. Nature Reviews. Neuroscience 13(1): 2
Yates, D. 2018: Neural development: Instigating engulfment. Nature Reviews. Neuroscience 19(5): 253
Whalley, K. 2017: Neural development: Keeping a lid on alternative fates. Nature Reviews. Neuroscience 18(6): 323
Whalley, K. 2015: Neural development: Migration matters. Nature Reviews. Neuroscience 16(11): 644-645
Lewis, S. 2011: Neural development: Neurogenesis ends near the beginning. Nature Reviews. Neuroscience 12(11): 616
Welberg, L. 2012: Neural development: No entry for AnkG. Nature Reviews. Neuroscience 13(7): 450
Lewis, S. 2017: Neural development: Regional influence. Nature Reviews. Neuroscience 18(8): 455
Whalley, K. 2017: Neural development: Relaying control of neuronal identity. Nature Reviews. Neuroscience 18(2): 70
Bray, N. 2016: Neural development: Sight development. Nature Reviews. Neuroscience 17(10): 603
Lewis, S. 2016: Neural development: The river runs through it. Nature Reviews. Neuroscience 17(12): 739
Whalley, K. 2013: Neural development: Tracing interneuron roots. Nature Reviews. Neuroscience 14(12): 818-819
Whalley, K. 2015: Neural development: a complex competition for spines. Nature Reviews. Neuroscience 16(10): 577
Whalley, K. 2014: Neural development: finding the source of parasympathetic neurons. Nature Reviews. Neuroscience 15(8): 494
Yates, D. 2015: Neural development: lipid guideposts. Nature Reviews. Neuroscience 16(10): 578
Rainey, V.R.; Stockdale, L.; Flores-Lamb, V.; Kahrilas, I.J.; Mullins, T.'k.L.; Gjorgieva, E.; Morrison, R.G.; Silton, R.L. 2021: Neural differences in the temporal cascade of reactive and proactive control for bilinguals and monolinguals. Psychophysiology 58(6): E13813
Chen, S.; Jia, Y.; Woltering, S. 2018: Neural differences of inhibitory control between adolescents with obesity and their peers. International Journal of Obesity 42(10): 1753-1761
Prpar Mihevc, S.; Kokondoska Grgich, V.; Kopitar, A.N.ša.; Mohorič, L.; Majdič, G. 2020: Neural differentiation of canine mesenchymal stem cells/multipotent mesenchymal stromal cells. Bmc Veterinary Research 16(1): 282
Luo, E.W.-C.; Liao, M.-L.; Chien, C.-L. 2021: Neural differentiation of glioblastoma cell lines via a herpes simplex virus thymidine kinase/ganciclovir system driven by a glial fibrillary acidic protein promoter. Plos one 16(8): E0253008