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...

Descripción completa

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

Internet

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

Ejemplares similares