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2000
Volume 18, Issue 10
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Introduction

The current research on the mental health risks of music has shortcomings in data collection, individual differences, and evaluation criteria. For this reason, this article will use neuroplasticity EEG and magnetic resonance imaging techniques to provide a basis for early identification and prevention of music-related mental health risks.

Methods

First, EEG was used to perform neuroimaging tests on participants, and it was observed that music stimulation can cause specific changes in brain electrical activity, and the EEG characteristics were preprocessed; then magnetic resonance imaging technology was used to further reveal the structural and functional changes of the brain under music stimulation, and the potential regulatory effects of music on mental health risks were discovered.

Results

The average Valence score of participants after playing positive music increased from 3.5 points to 7.15 points, and the degree of pleasure increased by 3.65 points (<0.05) with statistically significant differences; the influence of brainwave music on beta waves is also more significant (<0.01). Discussion: The results of this study show that music has a significant impact on mental health. Positive music can significantly improve the pleasure of participants, while bad music may lead to a decrease in pleasure.

Conclusion

This study demonstrates that music significantly influences brain activity and emotional states, as evidenced by EEG and MRI data. Positive music enhances pleasure and modulates beta waves, suggesting a protective effect on mental health, while negative music may pose emotional risks. These neurobiological markers offer objective tools for early prediction and personalized intervention in music-related mental health issues. Despite limitations in sample size and short-term observation, our findings advance the use of neuroimaging in identifying at-risk individuals and support the development of music-based preventive strategies.

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2025-05-22
2026-01-01

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Predictive Analysis of the Mental Health Risks of Music by EEG and Magnetic Resonance Imaging
Recent Advances in Electrical & Electronic Engineering 18, 1954 (2025); https://doi.org/10.2174/0123520965338959250401013027
/content/journals/raeeng/10.2174/0123520965338959250401013027
/content/journals/raeeng/10.2174/0123520965338959250401013027
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  • Article Type:     Research Article
Keyword(s): electroencephalogram analysis; magnetic resonance imaging; music and mental health; Neuroplasticity analysis; positive music; self-rating

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