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

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作者
Takuya Ito
Kaustubh R. Kulkarni
Douglas H. Schultz
Ravi D. Mill
Richard H. Chen
Levi I. Solomyak
Michael W. Cole
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[1] Rutgers University,Center for Molecular and Behavioral Neuroscience
[2] Rutgers University,Behavioral and Neural Sciences Graduate Program
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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.
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