Difference between eyes-open and eyes-closed resting state quantitative electroencephalography (qEEG) for predicting cognitive impairment using deep learning.

Journal: Applied neuropsychology. Adult
Published Date: Jun 27, 2025

Abstract

OBJECTIVE: Electroencephalography (EEG) is a method that offers detailed observations of electrical activities occurring in the brain's cerebral cortex. The EEG-derived brain signals can serve as a neurophysiological indicator for the early detection of dementia through quantitative EEG (qEEG) analysis. This study introduces a deep learning (DL)-based classification approach trained using the difference between qEEG time-frequency (TF) images of eyes-open resting (EOR) and eyes-closed resting (ECR) state EEG to detect mild cognitive impairment (MCI) and Alzheimer's disease (AD).

Authors

  • Chanda Simfukwe
    Department of Neurology, College of Medicine, Chung-Ang University, Seoul, South Korea.
  • Seong Soo A An
    Department of Bionano Technology, Gachon University, Seongnam-si, South Korea.
  • Young Chul Youn
    Department of Neurology, Chung-Ang University College of Medicine, Seoul, Korea.

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