Feature Selection and Combination of Information in the Functional Brain Connectome for Discrimination of Mild Cognitive Impairment and Analyses of Altered Brain Patterns

Feature Selection and Combination of Information in the Functional Brain Connectome for Discrimination of Mild Cognitive Impairment and Analyses of Altered Brain Patterns

Mild cognitive impairment (MCI) is often considered a critical time window for predicting early conversion to Alzheimer’s disease (AD). Brain functional connectome data (i.e., functional connections, global and nodal graph metrics) based on resting-state functional magnetic resonance imaging (rs-fMR...

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Bibliographic Details
Main Authors: Xiaowen Xu, Weikai Li, Jian Mei, Mengling Tao, Xiangbin Wang, Qianhua Zhao, Xiaoniu Liang, Wanqing Wu, Ding Ding, Peijun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Aging Neuroscience
Subjects:
resting-state functional magnetic resonance imaging
functional connectivity
graph theory
multiple kernel learning
mild cognitive impairment
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2020.00028/full

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