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

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 (...

Full description

Bibliographic Details
Main Authors: Fabian Wagner, Marco Duering, Benno G. Gesierich, Christian Enzinger, Stefan Ropele, Peter Dal-Bianco, Florian Mayer, Reinhold Schmidt, Marisa Koini
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Psychiatry
Subjects:
structural covariance network
longitudinal
Alzheimer
cognition
random forest
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2020.00360/full

Similar Items

Similar Items