Predicting progression from amnestic mild cognitive impairment to Alzheimer's disease using longitudinal EEG data: a 12-month cohort study

IntroductionAmnestic mild cognitive impairment (aMCI), serving as a clinical precursor to Alzheimer's Disease (AD), assumes a pivotal role in the early stages of AD prevention. The longitudinal collection of data in aMCI is imperative for monitoring disease progression and guiding clinical intervent...

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Detalhes bibliográficos

Principais autores:	Yingfeng Ge, Yi Fei, Chonglong Ding, Shuo Yang, Yingying Fang, Yifan Zheng, Jianan Yin, Qi Pan, Nanxiang Zhang, Xiaohao Zhang, Xilin Lu, Jinxin Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-01-01
coleção:	Frontiers in Aging Neuroscience
Assuntos:	amnestic mild cognitive impairment EEG prediction machine learning longitudinal data cohort study
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnagi.2025.1719981/full
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