EEG microstate analysis and machine learning classification in patients with obsessive-compulsive disorder.

Journal: Journal of psychiatric research
PMID: 39818106

Abstract

BACKGROUND: Microstate characterization of electroencephalogram (EEG) is a data-driven approach to explore the functional changes and interrelationships of multiple brain networks on a millisecond scale. This study aimed to explore the pathological changes of whole-brain functional networks in patients with obsessive-compulsive disorders (OCD) through microstate analysis and further to explore its potential value as an auxiliary diagnostic index.

Authors

  • Mohan Ma
    Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
  • Bingxun Lu
    School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, 100191, China.
  • Yumei Gong
    Hangzhou Extremely Weak Magnetic Field Major Science and Technology Infrastructure Research Institute, Hangzhou, 310000, China.
  • Chuman Xiao
    Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
  • Yumeng Yang
    School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China. Electronic address: yumeng.yang@dlut.edu.cn.
  • Yumeng Ju
    Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
  • Zhenman Xi
    Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
  • Yang Gao
    State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100050, China.
  • Xiaolin Ning
    School of Information Engineering, Shanghai Maritime University, Shanghai 200135, China.
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.

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