Resting brain dynamics at different timescales capture distinct aspects of human behavior

An individual’s pattern of resting state brain connectivity, as measured with fMRI, has been shown to predict cognitive and behavioral traits. Here, the authors show that different traits are predicted by different time-scales of resting state activity (dynamic vs. static).

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Detalles Bibliográficos
Autores principales:	Raphaël Liégeois, Jingwei Li, Ru Kong, Csaba Orban, Dimitri Van De Ville, Tian Ge, Mert R. Sabuncu, B. T. Thomas Yeo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6d6e19657b614ee98505d40f24b67e26
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spelling	oai:doaj.org-article:6d6e19657b614ee98505d40f24b67e262021-12-02T16:58:06ZResting brain dynamics at different timescales capture distinct aspects of human behavior10.1038/s41467-019-10317-72041-1723https://doaj.org/article/6d6e19657b614ee98505d40f24b67e262019-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10317-7https://doaj.org/toc/2041-1723An individual’s pattern of resting state brain connectivity, as measured with fMRI, has been shown to predict cognitive and behavioral traits. Here, the authors show that different traits are predicted by different time-scales of resting state activity (dynamic vs. static).Raphaël LiégeoisJingwei LiRu KongCsaba OrbanDimitri Van De VilleTian GeMert R. SabuncuB. T. Thomas YeoNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Raphaël Liégeois Jingwei Li Ru Kong Csaba Orban Dimitri Van De Ville Tian Ge Mert R. Sabuncu B. T. Thomas Yeo Resting brain dynamics at different timescales capture distinct aspects of human behavior
description	An individual’s pattern of resting state brain connectivity, as measured with fMRI, has been shown to predict cognitive and behavioral traits. Here, the authors show that different traits are predicted by different time-scales of resting state activity (dynamic vs. static).
format	article
author	Raphaël Liégeois Jingwei Li Ru Kong Csaba Orban Dimitri Van De Ville Tian Ge Mert R. Sabuncu B. T. Thomas Yeo
author_facet	Raphaël Liégeois Jingwei Li Ru Kong Csaba Orban Dimitri Van De Ville Tian Ge Mert R. Sabuncu B. T. Thomas Yeo
author_sort	Raphaël Liégeois
title	Resting brain dynamics at different timescales capture distinct aspects of human behavior
title_short	Resting brain dynamics at different timescales capture distinct aspects of human behavior
title_full	Resting brain dynamics at different timescales capture distinct aspects of human behavior
title_fullStr	Resting brain dynamics at different timescales capture distinct aspects of human behavior
title_full_unstemmed	Resting brain dynamics at different timescales capture distinct aspects of human behavior
title_sort	resting brain dynamics at different timescales capture distinct aspects of human behavior
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/6d6e19657b614ee98505d40f24b67e26
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Resting brain dynamics at different timescales capture distinct aspects of human behavior

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