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Chen OY , Cao H , Reinen JM , Qian T , Gou J , Phan H , De Vos M , Cannon TD
Resting-state brain information flow predicts cognitive flexibility in humans
Sci Rep. 2019 Mar 7;9(1) :3879
PMID: 30846746    PMCID: PMC6406001   
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Abstract
The human brain is a dynamic system, where communication between spatially distinct areas facilitates complex cognitive functions and behaviors. How information transfers between brain regions and how it gives rise to human cognition, however, are unclear. In this article, using resting-state functional magnetic resonance imaging (fMRI) data from 783 healthy adults in the Human Connectome Project (HCP) dataset, we map the brain's directed information flow architecture through a Granger-Geweke causality prism. We demonstrate that the information flow profiles in the general population primarily involve local exchanges within specialized functional systems, long-distance exchanges from the dorsal brain to the ventral brain, and top-down exchanges from the higher-order systems to the primary systems. Using an information flow map discovered from 550 subjects, the individual directed information flow profiles can significantly predict cognitive flexibility scores in 233 novel individuals. Our results provide evidence for directed information network architecture in the cerebral cortex, and suggest that features of the information flow configuration during rest underpin cognitive ability in humans.
Notes
2045-2322 Chen, Oliver Y Cao, Hengyi Reinen, Jenna M Qian, Tianchen ORCID: http://orcid.org/0000-0003-4282-7826 Gou, Jiangtao Phan, Huy De Vos, Maarten Cannon, Tyrone D Wellcome Trust/United Kingdom U01 MH081902/MH/NIMH NIH HHS/United States U54 MH091657/MH/NIMH NIH HHS/United States U01 MH081902/U.S. Department of Health & Human Services | National Institutes of Health (NIH) Journal Article England Sci Rep. 2019 Mar 7;9(1):3879. doi: 10.1038/s41598-019-40345-8.