A single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age

Brent McPherson and Franco Pestilli build on a large-scale data set from the Cambridge Centre for Aging Neuroscience to examine multivariate relationships between structural brain networks, behavior, and aging in healthy patients aged 18-88 years. They find that the age of individual subjects is pre...

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Autores principales:	Brent C. McPherson, Franco Pestilli
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/f32b7141e5c14d31b1666e568dd015dd
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spelling	oai:doaj.org-article:f32b7141e5c14d31b1666e568dd015dd2021-12-02T16:34:04ZA single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age10.1038/s42003-021-02451-02399-3642https://doaj.org/article/f32b7141e5c14d31b1666e568dd015dd2021-08-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02451-0https://doaj.org/toc/2399-3642Brent McPherson and Franco Pestilli build on a large-scale data set from the Cambridge Centre for Aging Neuroscience to examine multivariate relationships between structural brain networks, behavior, and aging in healthy patients aged 18-88 years. They find that the age of individual subjects is predicted by the association between structural connectivity and behavioral measures. They provide a reproducible data processing pipeline at brainlife.io that can be applied to other datasets.Brent C. McPhersonFranco PestilliNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Brent C. McPherson Franco Pestilli A single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age
description	Brent McPherson and Franco Pestilli build on a large-scale data set from the Cambridge Centre for Aging Neuroscience to examine multivariate relationships between structural brain networks, behavior, and aging in healthy patients aged 18-88 years. They find that the age of individual subjects is predicted by the association between structural connectivity and behavioral measures. They provide a reproducible data processing pipeline at brainlife.io that can be applied to other datasets.
format	article
author	Brent C. McPherson Franco Pestilli
author_facet	Brent C. McPherson Franco Pestilli
author_sort	Brent C. McPherson
title	A single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age
title_short	A single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age
title_full	A single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age
title_fullStr	A single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age
title_full_unstemmed	A single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age
title_sort	single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f32b7141e5c14d31b1666e568dd015dd
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A single mode of population covariation associates brain networks structure and behavior and predicts individual subjects’ age

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