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...
Guardado en:
Autores principales: | Brent C. McPherson, Franco Pestilli |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f32b7141e5c14d31b1666e568dd015dd |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Collegiate athlete brain data for white matter mapping and network neuroscience
por: Bradley Caron, et al.
Publicado: (2021) -
Sparse representation of brain aging: extracting covariance patterns from structural MRI.
por: Longfei Su, et al.
Publicado: (2012) -
CHIASM, the human brain albinism and achiasma MRI dataset
por: Robert J. Puzniak, et al.
Publicado: (2021) -
Subjective well-being predicts health behavior in a population-based 9-years follow-up of working-aged Finns
por: Säde Stenlund, et al.
Publicado: (2021) -
Predictions of native American population structure using linguistic covariates in a hidden regression framework.
por: Flora Jay, et al.
Publicado: (2011)