Activity flow over resting-state networks shapes cognitive task activations.

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TitleActivity flow over resting-state networks shapes cognitive task activations.
Publication TypeJournal Article
Year of Publication2016
AuthorsCole, MW, Ito, T, Bassett, DS, Schultz, DH
JournalNat Neurosci
Volume19
Issue12
Pagination1718-1726
Date Published2016 12
ISSN1546-1726
KeywordsAdult, Brain, Brain Mapping, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Neuropsychological Tests, Rest
Abstract

Resting-state functional connectivity (FC) has helped reveal the intrinsic network organization of the human brain, yet its relevance to cognitive task activations has been unclear. Uncertainty remains despite evidence that resting-state FC patterns are highly similar to cognitive task activation patterns. Identifying the distributed processes that shape localized cognitive task activations may help reveal why resting-state FC is so strongly related to cognitive task activations. We found that estimating task-evoked activity flow (the spread of activation amplitudes) over resting-state FC networks allowed prediction of cognitive task activations in a large-scale neural network model. Applying this insight to empirical functional MRI data, we found that cognitive task activations can be predicted in held-out brain regions (and held-out individuals) via estimated activity flow over resting-state FC networks. This suggests that task-evoked activity flow over intrinsic networks is a large-scale mechanism explaining the relevance of resting-state FC to cognitive task activations.

DOI10.1038/nn.4406
Alternate JournalNat. Neurosci.
PubMed ID27723746
PubMed Central IDPMC5127712
Grant ListR00 MH096801 / MH / NIMH NIH HHS / United States
R01 DC009209 / DC / NIDCD NIH HHS / United States
R01 HD086888 / HD / NICHD NIH HHS / United States
U54 MH091657 / MH / NIMH NIH HHS / United States