Alzheimer’s disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study

Alzheimer’s disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study

ObjectivesThe future emergence of disease-modifying treatments for dementia highlights the urgent need to identify reliable and easily accessible tools for diagnosing Alzheimer’s disease (AD). Electroencephalography (EEG) is a non-invasive and cost-effective technique commonly used in the study of n...

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Bibliographic Details
Main Authors: Juan Wang, Jiamei Zhao, Xiaoling Chen, Bowen Yin, Xiaoli Li, Ping Xie
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Aging Neuroscience
Subjects:
Alzheimer’s disease
electroencephalography
resting state
low-density
Support vector machine
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2024.1485132/full
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