Interpretable brain age prediction using linear latent variable models of functional connectivity

Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models of brain age based on functional connectivity while prioritizing model interpretability and underst...

Descripción completa

Detalles Bibliográficos
Autores principales: Monti, Ricardo Pio, Gibberd, Alex, Roy, Sandipan, Nunes, Matthew, Lorenz, Romy, Leech, Robert, Ogawa, Takeshi, Kawanabe, Motoaki, Hyvärinen, Aapo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286502/
https://www.ncbi.nlm.nih.gov/pubmed/32520931
http://dx.doi.org/10.1371/journal.pone.0232296

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286502/
https://www.ncbi.nlm.nih.gov/pubmed/32520931
http://dx.doi.org/10.1371/journal.pone.0232296

Ejemplares similares