Machine Learning Decomposition of the Anatomy of Neuropsychological Deficit in Alzheimer’s Disease and Mild Cognitive Impairment

Machine Learning Decomposition of the Anatomy of Neuropsychological Deficit in Alzheimer’s Disease and Mild Cognitive Impairment

ObjectiveAlzheimer’s Disease (AD) is a progressive condition characterized by cognitive decline. AD is often preceded by mild cognitive impairment (MCI), though the diagnosis of both conditions remains a challenge. Early diagnosis of AD, and prediction of MCI progression require data-driven approach...

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Bibliographic Details
Main Authors: Ningxin Dong, Changyong Fu, Renren Li, Wei Zhang, Meng Liu, Weixin Xiao, Hugh M. Taylor, Peter J. Nicholas, Onur Tanglay, Isabella M. Young, Karol Z. Osipowicz, Michael E. Sughrue, Stephane P. Doyen, Yunxia Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
cognitive impairment
neuropsychological tests
MRI
neural networks
machine learning
neuroimaging markers
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2022.854733/full

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