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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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/f32b7141e5c14d31b1666e568dd015dd |
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| Résumé: | 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. |
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