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Geometric deep learning reveals a structuro-temporal understanding of healthy and pathologic brain aging

BACKGROUND: Brain age has historically been investigated primarily at the whole brain level. The ability to deconstruct the brain into its composite parts and explore brain age at the sub-structure level offers unique advantages. These include the exploration of dynamic and interconnected relationsh...

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Detalles Bibliográficos
Autores principales:	Besson, Pierre, Rogalski, Emily, Gill, Nathan P., Zhang, Hui, Martersteck, Adam, Bandt, S. Kathleen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445244/ https://www.ncbi.nlm.nih.gov/pubmed/36081894 http://dx.doi.org/10.3389/fnagi.2022.895535

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