Automated Classification of Mild Cognitive Impairment by Machine Learning With Hippocampus-Related White Matter Network

Automated Classification of Mild Cognitive Impairment by Machine Learning With Hippocampus-Related White Matter Network

BackgroundDetection of mild cognitive impairment (MCI) is essential to screen high risk of Alzheimer’s disease (AD). However, subtle changes during MCI make it challenging to classify in machine learning. The previous pathological analysis pointed out that the hippocampus is the critical hub for the...

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Bibliographic Details
Main Authors: Yu Zhou, Xiaopeng Si, Yi-Ping Chao, Yuanyuan Chen, Ching-Po Lin, Sicheng Li, Xingjian Zhang, Yulin Sun, Dong Ming, Qiang Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Aging Neuroscience
Subjects:
mild cognitive impairment
white matter connectivity
Alzheimer’s disease
early diagnosis
feature extraction
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2022.866230/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2022.866230/full

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