Identifying Alzheimer’s disease and mild cognitive impairment with atlas-based multi-modal metrics

Identifying Alzheimer’s disease and mild cognitive impairment with atlas-based multi-modal metrics

IntroductionMulti-modal neuroimaging metrics in combination with advanced machine learning techniques have attracted more and more attention for an effective multi-class identification of Alzheimer’s disease (AD), mild cognitive impairment (MCI) and health controls (HC) recently.MethodsIn this paper...

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Bibliographic Details
Main Authors: Zhuqing Long, Jie Li, Jianghua Fan, Bo Li, Yukeng Du, Shuang Qiu, Jichang Miao, Jian Chen, Juanwu Yin, Bin Jing
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Aging Neuroscience
Subjects:
multi-modal imaging
brain atlas
Hurst exponent
support vector machine
artificial neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2023.1212275/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2023.1212275/full

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