Linear and nonlinear features of EEG microstate associated with insomnia.

Journal: Sleep medicine
Published Date: Jun 16, 2025

Abstract

BACKGROUND: Numerous studies have revealed abnormalities in EEG microstate in insomnia, primarily quantified using linear features, whereas nonlinear metrics remain underexplored. This study aimed to compare linear and nonlinear features and further assess their contributions to insomnia classification using machine learning.

Authors

  • Linman Weng
    Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China.
  • Simon Theodor Jülich
    Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China.
  • Xu Lei
    Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China. Electronic address: xlei@swu.edu.cn.

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