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Questions and controversies in the study of time-varying functional connectivity in resting fMRI
Author(s) -
Daniel J. Lurie,
Daniel Kessler,
Danielle S. Bassett,
Richard F. Betzel,
Michael Breakspear,
Shella Kheilholz,
Aaron Kucyi,
Raphaël Liégeois,
Martin A. Lindquist,
Anthony R. McIntosh,
Russell A. Poldrack,
James M. Shine,
William Hedley Thompson,
Natalia Bielczyk,
Linda Douw,
Dominik Kraft,
Robyn L. Miller,
Muthuraman Muthuraman,
Lorenzo Pasquini,
Adeel Razi,
Diego Vidaurre,
Hua Xie,
Vince D. Calhoun
Publication year - 2019
Publication title -
network neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.128
H-Index - 18
ISSN - 2472-1751
DOI - 10.1162/netn_a_00116
Subject(s) - resting state fmri , cognition , relevance (law) , neuroscience , neuroimaging , cognitive science , functional connectivity , variety (cybernetics) , cognitive psychology , perspective (graphical) , psychology , computer science , data science , artificial intelligence , political science , law
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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