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Recent Advances in Electrical & Electronic Engineering

Recent Advances in Electrical & Electronic Engineering

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ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

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Research Article

Predictive Analysis of the Mental Health Risks of Music by EEG and Magnetic Resonance Imaging

Author(s): Jiexin Chen, Yibing Cao* and Lei Xu

Volume 18, Issue 10, 2025

Published on: 22 May, 2025

Article ID: e23520965338959

Pages: 13

DOI: 10.2174/0123520965338959250401013027

Price: $65

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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 (p<0.05) with statistically significant differences; the influence of brainwave music on beta waves is also more significant (p<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.

Keywords: Neuroplasticity analysis, electroencephalogram analysis, magnetic resonance imaging, music and mental health, self-rating, positive music.

Graphical Abstract

Graphical abstract illustrating key findings of the study

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