Cognitive task information is transferred between brain regions via resting-state network topology
Resting-state functional connections have been associated with cognitive abilities but it is unclear how these connections contribute to cognition. Here Ito et al present a new approach, information transfer mapping, showing that task-relevant information can be predicted by estimated activity flow...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2017-10-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-017-01000-w |
_version_ | 1818427272272543744 |
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author | Takuya Ito Kaustubh R. Kulkarni Douglas H. Schultz Ravi D. Mill Richard H. Chen Levi I. Solomyak Michael W. Cole |
author_facet | Takuya Ito Kaustubh R. Kulkarni Douglas H. Schultz Ravi D. Mill Richard H. Chen Levi I. Solomyak Michael W. Cole |
author_sort | Takuya Ito |
collection | DOAJ |
description | Resting-state functional connections have been associated with cognitive abilities but it is unclear how these connections contribute to cognition. Here Ito et al present a new approach, information transfer mapping, showing that task-relevant information can be predicted by estimated activity flow through resting-state networks. |
first_indexed | 2024-12-14T14:43:05Z |
format | Article |
id | doaj.art-d11ee718656c405ba166d49d9bb76a44 |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-12-14T14:43:05Z |
publishDate | 2017-10-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj.art-d11ee718656c405ba166d49d9bb76a442022-12-21T22:57:21ZengNature PortfolioNature Communications2041-17232017-10-018111410.1038/s41467-017-01000-wCognitive task information is transferred between brain regions via resting-state network topologyTakuya Ito0Kaustubh R. Kulkarni1Douglas H. Schultz2Ravi D. Mill3Richard H. Chen4Levi I. Solomyak5Michael W. Cole6Center for Molecular and Behavioral Neuroscience, Rutgers UniversityCenter for Molecular and Behavioral Neuroscience, Rutgers UniversityCenter for Molecular and Behavioral Neuroscience, Rutgers UniversityCenter for Molecular and Behavioral Neuroscience, Rutgers UniversityCenter for Molecular and Behavioral Neuroscience, Rutgers UniversityCenter for Molecular and Behavioral Neuroscience, Rutgers UniversityCenter for Molecular and Behavioral Neuroscience, Rutgers UniversityResting-state functional connections have been associated with cognitive abilities but it is unclear how these connections contribute to cognition. Here Ito et al present a new approach, information transfer mapping, showing that task-relevant information can be predicted by estimated activity flow through resting-state networks.https://doi.org/10.1038/s41467-017-01000-w |
spellingShingle | Takuya Ito Kaustubh R. Kulkarni Douglas H. Schultz Ravi D. Mill Richard H. Chen Levi I. Solomyak Michael W. Cole Cognitive task information is transferred between brain regions via resting-state network topology Nature Communications |
title | Cognitive task information is transferred between brain regions via resting-state network topology |
title_full | Cognitive task information is transferred between brain regions via resting-state network topology |
title_fullStr | Cognitive task information is transferred between brain regions via resting-state network topology |
title_full_unstemmed | Cognitive task information is transferred between brain regions via resting-state network topology |
title_short | Cognitive task information is transferred between brain regions via resting-state network topology |
title_sort | cognitive task information is transferred between brain regions via resting state network topology |
url | https://doi.org/10.1038/s41467-017-01000-w |
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