SYSTEMATIC REVIEW article
Front. Aging Neurosci.
Sec. Alzheimer's Disease and Related Dementias
The EEG Analysis and Identification of Alzheimer's Disease: A Review
Provisionally accepted
- 1Northeastern University, Shenyang, China
- 2Shengjing Hospital of China Medical University, Shenyang, China
- 3Shenyang Ruijin Medical Technology Co., Ltd, Shenyang, China
- 4Shenyang First People's Hospital, Shenyang, China
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Alzheimer's disease (AD), a neurodegenerative disorder, significantly impacts patients, families, and society. Therefore, efficient AD diagnosis and disease analysis are crucial. Electroencephalogram (EEG) directly reflects brain activity, making EEG-based AD identification a current research hotspot. This review utilized digital libraries (Google Scholar and PubMed) to categorize the literature into two sets based on different periods, ultimately analyzing the application of EEG in AD research through 141 articles after screening. Critical topics addressed include subject types, experimental design, electrode selection, artifact processing, rhythm division, feature extraction, recognition methods, etc. Additionally, the review discusses major conclusions, emphasizing research priorities and consistent findings. The study also briefly mentions other biomarkers and predicts future trends of EEG as a biomarker. This work provides valuable references for researchers and clinicians exploring the relationship between EEG and AD.
Keywords: Alzheimer's disease (AD), neurodegenerative disorder, electroencephalogram (EEG), Ad identification, biomarker
Received: 20 Aug 2025; Accepted: 18 Nov 2025.
Copyright: © 2025 Bi, Wang, Hu, Han, Wang, Fu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Fei Wang, wangfei@mail.neu.edu.cn
Xin Zhang, zhangxin0321sy@163.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.