posted on 2025-05-09, 01:39authored byDaniel J. Lurie, Daniel Kessler, Russel A. Poldrack, James M. Shine, Willaim Hedley Thompson, Natalia Z. Bielczyk, Linda Douw, Dominik Kraft, Robyn L. Miller, Muthuraman Muthuraman, Lorenzo Pasquini, Adeel Razi, Danielle S. Bassett, Diego Vidaurre, Hua Xie, Vince D. Calhoun, Richard F. Betzel, Michael BreakspearMichael Breakspear, Shella Kheilholz, Aaron Kucyi, Raphael Liegeois, Martin A. Lindquist, Aanthony Randal McIntosh
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 of resting TVFC. These and other unresolved issues complicate interpretation of resting TVFC findings and limit the insights that can be gained from this promising new research area. This article brings together scientists with a variety of perspectives on resting TVFC to review the current literature in light of these issues. We introduce core concepts, define key terms, summarize controversies and open questions, and present a forward-looking perspective on how resting TVFC analyses can be rigorously and productively applied to investigate a wide range of questions in cognitive and systems neuroscience.
History
Journal title
Network Neuroscience
Volume
4
Issue
1
Pagination
30-69
Publisher
MIT Press
Language
en, English
College/Research Centre
Faculty of Science
School
School of Psychology
Rights statement
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.