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Questions and controversies in the study of time-varying functional connectivity in resting fMRI
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 cogn...
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Published in: | Network neuroscience (Cambridge, Mass.) Mass.), 2020-01, Vol.4 (1), p.30-69 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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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ISSN: | 2472-1751 2472-1751 |
DOI: | 10.1162/netn_a_00116 |