Authors
Daniel J Lurie, Daniel Kessler, Danielle S Bassett, Richard F Betzel, Michael Breakspear, Shella Kheilholz, Aaron Kucyi, Raphaël Liégeois, Martin A Lindquist, Anthony Randal McIntosh, Russell A Poldrack, James M Shine, William Hedley Thompson, Natalia Z Bielczyk, Linda Douw, Dominik Kraft, Robyn L Miller, Muthuraman Muthuraman, Lorenzo Pasquini, Adeel Razi, Diego Vidaurre, Hua Xie, Vince D Calhoun
Publication date
2020/2/1
Source
Network neuroscience
Volume
4
Issue
1
Pages
30-69
Publisher
MIT Press
Description
The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain’s functional architecture and the relationship between neural dynamics and cognition in health and disease. The possibility of studying these dynamics through careful analysis of neuroimaging data has catalyzed substantial interest in methods that estimate time-resolved fluctuations in functional connectivity (often referred to as “dynamic” or time-varying functional connectivity; TVFC). At the same time, debates have emerged regarding the application of TVFC analyses to resting fMRI data, and about the statistical validity, physiological origins, and cognitive and behavioral relevance …
Scholar articles
DJ Lurie, D Kessler, DS Bassett, RF Betzel… - Network neuroscience, 2020