Gray Matter Covariance Networks as Classifiers and Predictors of Cognitive Function in Alzheimer’s Disease

The study of shared variation in gray matter morphology may define neurodegenerative diseases beyond what can be detected from the isolated assessment of regional brain volumes. We, therefore, aimed to (1) identify SCNs (structural covariance networks) that discriminate between Alzheimer’s disease (...

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Detalles Bibliográficos
Autores principales: Wagner, Fabian, Duering, Marco, Gesierich, Benno G., Enzinger, Christian, Ropele, Stefan, Dal-Bianco, Peter, Mayer, Florian, Schmidt, Reinhold, Koini, Marisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214682/
https://www.ncbi.nlm.nih.gov/pubmed/32431629
http://dx.doi.org/10.3389/fpsyt.2020.00360

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214682/
https://www.ncbi.nlm.nih.gov/pubmed/32431629
http://dx.doi.org/10.3389/fpsyt.2020.00360

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