An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study

An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study

BackgroundAs a clinical precursor to Alzheimer’s disease (AD), amnestic mild cognitive impairment (aMCI) bears a considerably heightened risk of transitioning to AD compared to cognitively normal elders. Early prediction of whether aMCI will progress to AD is of paramount importance, as it can provi...

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Bibliographic Details
Main Authors: Yingfeng Ge, Jianan Yin, Caie Chen, Shuo Yang, Yuduan Han, Chonglong Ding, Jiaming Zheng, Yifan Zheng, Jinxin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Aging Neuroscience
Subjects:
amnestic mild cognitive impairment
EEG
discrimination
machine learning
longitudinal study
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2024.1470836/full
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https://www.frontiersin.org/articles/10.3389/fnagi.2024.1470836/full

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