Cognitive task information is transferred between brain regions via resting-state network topology

Takuya Ito (), Kaustubh R. Kulkarni, Douglas H. Schultz, Ravi D. Mill, Richard H. Chen, Levi I. Solomyak and Michael W. Cole
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Takuya Ito: Rutgers University
Kaustubh R. Kulkarni: Rutgers University
Douglas H. Schultz: Rutgers University
Ravi D. Mill: Rutgers University
Richard H. Chen: Rutgers University
Levi I. Solomyak: Rutgers University
Michael W. Cole: Rutgers University

Nature Communications, 2017, vol. 8, issue 1, 1-14

Abstract: Abstract Resting-state network connectivity has been associated with a variety of cognitive abilities, yet it remains unclear how these connectivity properties might contribute to the neurocognitive computations underlying these abilities. We developed a new approach—information transfer mapping—to test the hypothesis that resting-state functional network topology describes the computational mappings between brain regions that carry cognitive task information. Here, we report that the transfer of diverse, task-rule information in distributed brain regions can be predicted based on estimated activity flow through resting-state network connections. Further, we find that these task-rule information transfers are coordinated by global hub regions within cognitive control networks. Activity flow over resting-state connections thus provides a large-scale network mechanism for cognitive task information transfer and global information coordination in the human brain, demonstrating the cognitive relevance of resting-state network topology.

Date: 2017
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DOI: 10.1038/s41467-017-01000-w

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