Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach

Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach

BackgroundGraph theory and machine learning have been shown to be effective ways of classifying different stages of Alzheimer’s disease (AD). Most previous studies have only focused on inter-subject classification with single-mode neuroimaging data. However, whether this classification can truly ref...

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Bibliographic Details
Main Authors: Tingting Zhang, Qian Liao, Danmei Zhang, Chao Zhang, Jing Yan, Ronald Ngetich, Junjun Zhang, Zhenlan Jin, Ling Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Aging Neuroscience
Subjects:
resting-state fMRI
structural MRI
mild cognitive impairment
graph theoretical analysis
machine learning
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2021.688926/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2021.688926/full

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