Machine learning based on the EEG and structural MRI can predict different stages of vascular cognitive impairment

Machine learning based on the EEG and structural MRI can predict different stages of vascular cognitive impairment

BackgroundVascular cognitive impairment (VCI) is a major cause of cognitive impairment in the elderly and a co-factor in the development and progression of most neurodegenerative diseases. With the continuing development of neuroimaging, multiple markers can be combined to provide richer biological...

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Bibliographic Details
Main Authors: Zihao Li, Meini Wu, Changhao Yin, Zhenqi Wang, Jianhang Wang, Lingyu Chen, Weina Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Aging Neuroscience
Subjects:
machine learning
quantitative electroencephalogram
vascular cognitive dysfunction
structural magnetic resonance imaging
applications of support vector machine
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2024.1364808/full

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https://www.frontiersin.org/articles/10.3389/fnagi.2024.1364808/full

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