A comparative study of EEG microstate dynamics during happy and sad music videos

EEG microstates offer a unique window into the dynamics of emotional experiences. This study delved into the emotional responses of happiness and sadness triggered by music videos, employing microstate analysis and eLoreta source-level investigation in the alpha band. The results of the microstate analysis showed that regardless of gender, participants during happy music video significantly upregulated class D microstate and downregulated class C microstate, leading to a significantly enhanced global explained variance (GEV), coverage, occurrence, duration, and global field power (GFP) for class D. Conversely, sad music video had the opposite effect. The eLoreta study revealed that during the happy state, there was enhanced CSD in the central parietal regions across both genders and diminished functional connectivity in the precuneus for female participants compared to the sad state. Class D and class C microstates are linked to attention and mind-wandering, respectively. The findings suggest that (1) increased class D and CSD activity could explain heightened attentiveness observed during happy music, and (2) increased class C activity and functional connectivity could explain enhanced mind wandering observed during sad music. Additionally, female participants exhibited significantly higher mean occurrence than males, and the sad state showed significantly higher mean occurrence than the happy state.

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Publication Details

Journal
Frontiers in Human Neuroscience
Published
2025-02-06
DOI
https://doi.org/10.3389/fnhum.2024.1469468
Citations
4
Primary Topic
Mind wandering and attention
Type
article
Field-Weighted Citation Impact
5.72

Funders

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article

A comparative study of EEG microstate dynamics during happy and sad music videos

Chandan Kumar Srivastava, Braj Bhushan, Laxmidhar Behera, Ashish Gupta
4 citations
Frontiers in Human Neuroscience
Mind wandering and attention
5.72
article

A comparative study of EEG microstate dynamics during happy and sad music videos

Chandan Kumar Srivastava, Braj Bhushan, Laxmidhar Behera, Ashish Gupta
article en
4 citations

Abstract

EEG microstates offer a unique window into the dynamics of emotional experiences. This study delved into the emotional responses of happiness and sadness triggered by music videos, employing microstate analysis and eLoreta source-level investigation in the alpha band. The results of the microstate analysis showed that regardless of gender, participants during happy music video significantly upregulated class D microstate and downregulated class C microstate, leading to a significantly enhanced global explained variance (GEV), coverage, occurrence, duration, and global field power (GFP) for class D. Conversely, sad music video had the opposite effect. The eLoreta study revealed that during the happy state, there was enhanced CSD in the central parietal regions across both genders and diminished functional connectivity in the precuneus for female participants compared to the sad state. Class D and class C microstates are linked to attention and mind-wandering, respectively. The findings suggest that (1) increased class D and CSD activity could explain heightened attentiveness observed during happy music, and (2) increased class C activity and functional connectivity could explain enhanced mind wandering observed during sad music. Additionally, female participants exhibited significantly higher mean occurrence than males, and the sad state showed significantly higher mean occurrence than the happy state.

Frontiers in Human NeuroscienceVol. 18
Indian Institute of Technology Bombay (IN), Indian Institute of Technology Kanpur (IN), Indian Institute of Technology Mandi (IN)
All India Council for Technical Education, Indian Institute of Technology Madras
Gender equality
Openalex Percentile: Top 5%
Mind wandering and attention
5.72
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A comparative study of EEG microstate dynamics during happy and sad music videos — Chandan Kumar Srivastava, Braj Bhushan, et al. · Frontiers in Human Neuroscience (2025) | TGRS Research Map | TGRS