ArticleScientific reports2019
Resting-state brain information flow predicts cognitive flexibility in humans.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Brain Structural and Functional Neuroimaging Features are Associated With Improved Auditory Hallucinations in Patients With Schizophrenia After Real-Time fMRI Neurofeedback.Depression and anxiety · 2025Trial
- Exploring the link between body physiology and cognition: the role of the brain and aging.npj aging · 2026Article
- Large-scale brain dynamics are organized by a directional coordination hierarchy.bioRxiv : the preprint server for biology · 2026Article
- Positive association between local brain hypercorrelations and posttraumatic stress disorder symptom severity.Journal of neurophysiology · 2026Article
- Bridging neurobiological mechanisms and translational applications in cognitive science: inspirations from the MCCS-NYUAD meeting 2025.Molecular brain · 2026Review
- Investigating Disruptions in Information Flow due to Sickle Cell Disease Using Granger Causality.Human brain mapping · 2025Article
- Connectome-Based Predictive Models of General and Specific Executive Functions.Human brain mapping · 2025Article
- Brain complexity represents uncertainty in sequence learning and corroborates habituation deficit in Parkinson disease patients.Scientific reports · 2025Article
- [Analyzing Frequency-Dependent Human Brain Information Flow in Resting-State fMRI Using Multiple Effective Connectivity Methods].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- Resting-state neural dynamics changes in older adults with post-COVID syndrome and the modulatory effect of cognitive training and sex.GeroScience · 2025Article
- The level of cognitive functioning in school-aged children is predicted by resting EEG Directed Phase Lag Index.Scientific reports · 2025Article
- Network and state specificity in connectivity-based predictions of individual behavior.Human brain mapping · 2024Article
- Network and State Specificity in Connectivity-Based Predictions of Individual Behavior.bioRxiv : the preprint server for biology · 2023Article
- Heritability of human "directed" functional connectome.Brain and behavior · 2023Article
- Individualized prediction of future cognition based on developmental changes in cortical anatomy.Neuroimage. Reports · 2022Article
- Parental religiosity is associated with changes in youth functional network organization and cognitive performance in early adolescence.Scientific reports · 2022Article
- The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults.Scientific reports · 2022Article
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Authors and funding
8 authors.
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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.
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