Modern network science of neurological disorders. - Estadísticas de Google Académico

Artículos que citan Modern network science of neurological disorders.

Título / Autor	Año
GRETNA: a graph theoretical network analysis toolbox for imaging connectomics J Wang, X Wang, M Xia, X Liao, A Evans, Y He Frontiers in human neuroscience 9, 386	2015
Opportunities and methodological challenges in EEG and MEG resting state functional brain network research E Van Diessen, T Numan, E Van Dellen, AW Van Der Kooi, M Boersma, ... Clinical Neurophysiology 126 (8), 1468-1481	2015
The minimum spanning tree: an unbiased method for brain network analysis P Tewarie, E van Dellen, A Hillebrand, CJ Stam Neuroimage 104, 177-188	2015
Cooperative and competitive spreading dynamics on the human connectome B Mišić, RF Betzel, A Nematzadeh, J Goni, A Griffa, P Hagmann, ... Neuron 86 (6), 1518-1529	2015
Mathematical frameworks for oscillatory network dynamics in neuroscience P Ashwin, S Coombes, R Nicks The Journal of Mathematical Neuroscience 6 (1), 2	2016
Direction of information flow in large-scale resting-state networks is frequency-dependent A Hillebrand, P Tewarie, E Van Dellen, M Yu, EWS Carbo, L Douw, ... Proceedings of the National Academy of Sciences 113 (14), 3867-3872	2016
Two’s company, three (or more) is a simplex C Giusti, R Ghrist, DS Bassett Journal of computational neuroscience 41 (1), 1-14	2016
Optimally controlling the human connectome: the role of network topology RF Betzel, S Gu, JD Medaglia, F Pasqualetti, DS Bassett Scientific reports 6, 30770	2016
State-space model with deep learning for functional dynamics estimation in resting-state fMRI HI Suk, CY Wee, SW Lee, D Shen NeuroImage 129, 292-307	2016
Stable long-term chronic brain mapping at the single-neuron level TM Fu, G Hong, T Zhou, TG Schuhmann, RD Viveros, CM Lieber Nature methods 13 (10), 875	2016
Network analysis for a network disorder: the emerging role of graph theory in the study of epilepsy BC Bernhardt, L Bonilha, DW Gross Epilepsy & Behavior 50, 162-170	2015
Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation C Gratton, TO Laumann, AN Nielsen, DJ Greene, EM Gordon, ... Neuron 98 (2), 439-452. e5	2018
How reliable are MEG resting-state connectivity metrics? GL Colclough, MW Woolrich, PK Tewarie, MJ Brookes, AJ Quinn, ... Neuroimage 138, 284-293	2016
Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework T Ros, B J Baars, RA Lanius, P Vuilleumier Frontiers in human neuroscience 8, 1008	2014
Network science of biological systems at different scales: a review M Gosak, R Markovič, J Dolenšek, MS Rupnik, M Marhl, A Stožer, M Perc Physics of life reviews 24, 118-135	2018
The contribution of geometry to the human connectome JA Roberts, A Perry, AR Lord, G Roberts, PB Mitchell, RE Smith, ... Neuroimage 124, 379-393	2016
Thalamic structures and associated cognitive functions: Relations with age and aging R Fama, EV Sullivan Neuroscience & Biobehavioral Reviews 54, 29-37	2015
Network science and the human brain: using graph theory to understand the brain and one of its hubs, the amygdala, in health and disease D Mears, HB Pollard Journal of neuroscience research 94 (6), 590-605	2016
The cellular and molecular landscape of neuroligins MA Bemben, SL Shipman, RA Nicoll, KW Roche Trends in neurosciences 38 (8), 496-505	2015
Multilayer motif analysis of brain networks F Battiston, V Nicosia, M Chavez, V Latora Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (4), 047404	2017

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