EEG microstate correlates of emotion dynamics and stimulation content during video watching

Wanrou Hu, Zhiguo Zhang, Huilin Zhao, Li Zhang, Linling Li, Gan Huang, Zhen Liang*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

33 Citations (Scopus)

Abstract

Introduction: EEG microstates have been widely adopted to understand the complex and dynamic-changing process in dynamic brain systems, but how microstates are temporally modulated by emotion dynamics is still unclear. An investigation of EEG microstates under video-evoking emotion dynamics modulation would provide a novel insight into the understanding of temporal dynamics of functional brain networks.

Methods: In the present study, we postulate that emotional states dynamically modulate the microstate patterns, and perform an in-depth investigation between EEG microstates and emotion dynamics under a video-watching task. By mapping from subjective-experienced emotion states and objective-presented stimulation content to EEG microstates, we gauge the comprehensive associations among microstates, emotions, and multimedia stimulation.

Results: The results show that emotion dynamics could be well revealed by four EEG microstates (MS1, MS2, MS3, and MS4), where MS3 and MS4 are found to be highly correlated to different emotion states (emotion task effect and level effect) and the affective information involved in the multimedia content (visual and audio). © The Author(s) 2022. Published by Oxford University Press.
Original languageEnglish
Pages (from-to)523-542
Number of pages20
JournalCerebral Cortex
Volume33
Issue number3
Online published9 Mar 2022
DOIs
Publication statusPublished - 1 Feb 2023
Externally publishedYes

Research Keywords

  • EEG microstates
  • emotion dynamics
  • electroencephalography
  • stimulation effect
  • video evoking

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