Classification of Early and Late Mild Cognitive Impairment Using Functional Brain Network of Resting-State fMRI

Classification of Early and Late Mild Cognitive Impairment Using Functional Brain Network of Resting-State fMRI

Using the Pearson correlation coefficient to constructing functional brain network has been evidenced to be an effective means to diagnose different stages of mild cognitive impairment (MCI) disease. In this study, we investigated the efficacy of a classification framework to distinguish early mild...

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Bibliographic Details
Main Authors: Tingting Zhang, Zanzan Zhao, Chao Zhang, Junjun Zhang, Zhenlan Jin, Ling Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Psychiatry
Subjects:
resting-state fMRI
mild cognitive impairment
feature section
functional network
classification
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2019.00572/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyt.2019.00572/full

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