Disentangling Alzheimer’s disease neurodegeneration from typical brain ageing using machine learning

Neuroimaging biomarkers that distinguish between changes due to typical brain ageing and Alzheimer’s disease are valuable for determining how much each contributes to cognitive decline. Supervised machine learning models can derive multivariate patterns of brain change related to the two processes,...

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Detalles Bibliográficos
Autores principales: Hwang, Gyujoon, Abdulkadir, Ahmed, Erus, Guray, Habes, Mohamad, Pomponio, Raymond, Shou, Haochang, Doshi, Jimit, Mamourian, Elizabeth, Rashid, Tanweer, Bilgel, Murat, Fan, Yong, Sotiras, Aristeidis, Srinivasan, Dhivya, Morris, John C., Albert, Marilyn S., Bryan, Nick R., Resnick, Susan M., Nasrallah, Ilya M., Davatzikos, Christos, Wolk, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123890/
https://www.ncbi.nlm.nih.gov/pubmed/35611306
http://dx.doi.org/10.1093/braincomms/fcac117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123890/
https://www.ncbi.nlm.nih.gov/pubmed/35611306
http://dx.doi.org/10.1093/braincomms/fcac117

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