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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Détails bibliographiques
Publié dans:Neurobiol Aging
Auteurs principaux: 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
Format: Artigo
Langue:Inglês
Publié: 2018
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Article
Accès en ligne: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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