Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome

Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome

Background: Early prediction of disease progression in patients with amnestic mild cognitive impairment (aMCI) is important for early diagnosis and intervention of Alzheimer's disease (AD). Previous brain network studies have suggested topological disruptions of the brain connectome in aMCI pat...

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Bibliographic Details
Main Authors: Yu Sun, Qiuhui Bi, Xiaoni Wang, Xiaochen Hu, Huijie Li, Xiaobo Li, Ting Ma, Jie Lu, Piu Chan, Ni Shu, Ying Han
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Neurology
Subjects:
brain network
conversion
diffusion tensor imaging
graph theory
mild cognitive impairment
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2018.01178/full

Internet

https://www.frontiersin.org/article/10.3389/fneur.2018.01178/full

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