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Heterogeneous Effects of Eye-close and Eye-open on Electroencephalographic Microstates of Depressed Brain in Resting State

  • Kunbo Cui
  • , Mingqi Zhao
  • , Di Liu
  • , Minxin He
  • , Qinglin Zhao*
  • , Bin Hu*
  • *此作品的通讯作者
  • Lanzhou University
  • Chinese Academy of Sciences

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Previous studies have shown that the resting-state electroencephalogram (EEG) of depressed patients exhibits abnormal dynamic activation of large-scale networks in microstate analysis. However, the problem of heterogeneous results in microstate features as physiological markers for depressive disorders has not been addressed. An important factor contributing to this problem is that previous studies have overlooked the effects of eye-opening and eye-closing on resting-state EEG microstates in depression. To address this gap, the present study proposes a new microstate delineation method to accurately identify EEG microstates in both open-eye and closed-eye resting states, and further analyzes the differential performance of the depressed group and the control group in the two states. We validated our method on a dataset containing 64-channel EEG data (55 cases in the depressed group and 55 cases in the control group). The results showed that the classical seven microstate topographies were present in both open-eye and closed-eye conditions, which may explain why other studies have overlooked the impact of eye state on resting-state microstates in depression. In addition, the microstate characteristics of depression were differentially expressed in the open-eye and closed-eye conditions, with the depressed group showing more significant results in the closed-eye condition. Overall, our study demonstrates that eye state affects depression microstates and provides new insights to address the problem of heterogeneity in the results of EEG microstate studies of depression.

源语言英语
主期刊名Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
编辑Mario Cannataro, Huiru Zheng, Lin Gao, Jianlin Cheng, Joao Luis de Miranda, Ester Zumpano, Xiaohua Hu, Young-Rae Cho, Taesung Park
出版商Institute of Electrical and Electronics Engineers Inc.
6076-6083
页数8
ISBN(电子版)9798350386226
DOI
出版状态已出版 - 2024
活动2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024 - Lisbon, 葡萄牙
期限: 3 12月 20246 12月 2024

丛书

姓名Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

会议

会议2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
国家/地区葡萄牙
Lisbon
时期3/12/246/12/24

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