Exploring the diagnostic potential of EEG theta power and interhemispheric correlation of temporal lobe activities in Alzheimer's Disease through random forest analysis.

Journal: Computers in biology and medicine
Published Date: Jun 1, 2025

Abstract

BACKGROUND: Considering the prevalence of Alzheimer's Disease (AD) among the aging population and the limited means of treatment, early detection emerges as a crucial focus area whereas electroencephalography (EEG) provides a promising diagnostic tool. To date, several studies indicated EEG dataset-based models sporting high diagnostic power in distinguishing patients with AD from healthy controls (HC). However, exploration into which features play a crucial role in the diagnosis remains limited.

Authors

  • Ahhyun Lucy Lee
    Department of Life Sciences, POSTECH, Pohang, Gyeongsangbukdo, 37673, Republic of Korea; Research Center, Lablup Inc., Seoul, 06161, Republic of Korea; Department of Brain and Cognitive Sciences, Seoul National University, Seoul, 08826, Republic of Korea. Electronic address: ahhyun724@postech.ac.kr.
  • Eunjin Hwang
    Research Center, Lablup Inc., Seoul, 06161, Republic of Korea. Electronic address: ejhwang@lablup.com.
  • Jeongeun Hwang
    Department of Medicine, University of Ulsan College of Medicine, Seoul, South Korea.

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