Optimizing electrode configurations for EEG mild cognitive impairment detection.

Autor: Jiang Y; The National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.; The Med-X Center for Manufacturing, Sichuan University, Chengdu, 610041, Sichuan, China.; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China., Zhang X; The College of Bioengineering, the Key Laboratory of Biorheological Science and Technology, Ministry of Education, Chongqing University, Chongqing, 400000, China., Guo Z; The National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.; The Med-X Center for Manufacturing, Sichuan University, Chengdu, 610041, Sichuan, China.; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China., Zhou X; Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.; McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA., He J; The National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. jiayuan.he@wchscu.cn.; The Med-X Center for Manufacturing, Sichuan University, Chengdu, 610041, Sichuan, China. jiayuan.he@wchscu.cn., Jiang N; The National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. wearablemedical@wchscu.cn.; The Med-X Center for Manufacturing, Sichuan University, Chengdu, 610041, Sichuan, China. wearablemedical@wchscu.cn.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2025 Jan 02; Vol. 15 (1), pp. 578. Date of Electronic Publication: 2025 Jan 02.
DOI: 10.1038/s41598-024-84277-4
Abstrakt: The Optimal electrode configuration of Electroencephalograms (EEG) systems for mild cognitive impairment (MCI) detection and monitoring in non-clinical settings, i.e. number of electrodes and the positions of the electrodes, remains to be explored. In the current study, we explored the optimization of electrode configuration for MCI detection. We used a 32-channel EEG device to record the data of 21 MCI patients and 20 cognitively normal elderly (NC) undergoing working memory (WM) tasks. Based on the differential value (MCI group vs. NC group) from the Power Spectral Density (PSD) value of each electrode in θ and α frequency band during WM coding stage, six different electrode configurations were obtained: (1) four electrodes in the occipital lobe (OCL4); (2) three electrodes in the prefrontal lobe (PRL3); (3) four electrodes in the parietal lobe (PLL4), (4) eight electrodes in occipital combined parietal lobe (OPL8), (5) seven electrodes in occipital combined prefrontal lobe (OPL7); and (6) seven electrodes in parietal combined prefrontal lobe (PPL7). A multi-parameter combination-assisted binary logistic regression model was established to distinguish two groups. Receiver operating characteristic (ROC) curves were used to evaluate the MCI diagnostic power of each electrode configuration. The area under curve (AUC) of the ROC of electrode configurations OCL4, PRL3, PLL4, OPL8, OPL7 and PPL7 were 0.765, 0.683, 0.729, 0.83, 0.788, and 0.769, respectively. And the sensitivity of six electrode configurations were 0.962, 0.794, 0.873, 0.943, 0.859, and 0.938, respectively. Among these six configurations, OCL4, i.e. PO3, PO4, PO8, and PO7, had the highest sensitivity 96.2%, which meant that relying solely on these four electrodes of the occipital lobe had the potential to serve as an objective tool for preliminary screening of MCI. The abnormal brain rhythm characteristics of the frontal, parietal, and occipital lobes in the memory encoding stage of MCI provide a new perspective for MCI-WM impairment, which has the potential to be a novel biomarker for the early detection of pathological age-related cognitive decline. Further, a potential four-electrode configuration may be used for a novel detecting and monitoring EEG system of MCI in non-clinical settings.
Competing Interests: Declarations. Competing interests: The authors declare no competing interests. Ethics approval and consent to participate: This study was approved by the Ethics Committee of West China Medical College of Sichuan University (Approved Number: 2021(1447)). All participants provided written informed consent prior to their participation. Consent for publication: All authors have approved the publication.
(© 2024. The Author(s).)
Databáze: MEDLINE
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