Abstract
The brain is thought to process cognitive task information in a widespread distributed manner, yet little is known about how such information is coordinated on a global scale. We built on recent advances in decoding cognitive task information and characterizing the flow of activity through large-scale brain networks to investigate region-to-region information transfer during complex cognitive tasks. We hypothesized that resting-state functional network topology – revealed via correlations among brain activity time series during task-free rest – describes the fine-grained mappings between brain regions that carry cognitive task information. Confirming this, we found that diverse task-rule information could be predicted in held-out brain regions based on estimated activity flow through resting-state network connections. Activity flow over fine-grained resting-state connections thus provides a large-scale network mechanism for cognitive task information transfer in the human brain.