Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods

Disentangling the heterogeneity of brain aging in cognitively normal older adults is challenging, as multiple co-occurring pathologic processes result in diverse functional and structural changes. Capitalizing on machine learning methods applied to magnetic resonance imaging data from 400 participan...

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Detalhes bibliográficos
Publicado no:Neurobiol Aging
Main Authors: Eavani, Harini, Habes, Mohamad, Satterthwaite, Theodore D., An, Yang, Hsieh, Meng-Kang, Honnorat, Nicolas, Erus, Guray, Doshi, Jimit, Ferrucci, Luigi, Beason-Held, Lori L., Resnick, Susan M., Davatzikos, Christos
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6162110/
https://ncbi.nlm.nih.gov/pubmed/30077821
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neurobiolaging.2018.06.013
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