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Questions and controversies in the study of time-varying functional connectivity in resting fMRI
Journal article   Open access   Peer reviewed

Questions and controversies in the study of time-varying functional connectivity in resting fMRI

Daniel J Lurie, Daniel Kessler, Danielle S Bassett, Richard F Betzel, Michael Breakspear, Shella Kheilholz, Aaron Kucyi, Raphael Liegeois, Martin A Lindquist, Aanthony Randal McIntosh, …
Network Neuroscience, v 4(1)
2020
url
https://doi.org/10.1162/netn_a_00116View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

brain dynamics brain networks fconnectivity fMRI rest ESI Highly Cited Paper (Incites)
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.

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406 citations in Scopus

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Highly Cited Paper 
Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Neurosciences
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