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.

Journal: Frontiers in aging neuroscience
Published Date: Jan 6, 2025

Abstract

BACKGROUND: As 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 provide pivotal guidance for subsequent clinical interventions in an early and effective manner.

Authors

  • Yingfeng Ge
    Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Jianan Yin
    Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Caie Chen
    Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Shuo Yang
    Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Yuduan Han
    Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Chonglong Ding
    Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Jiaming Zheng
    Department of Clinical Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Yifan Zheng
    Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Jinxin Zhang
    Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.

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