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

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 paper uses EEG and magnetic resonance imaging techniques to study the biological correlation between music and mental health, which provides help for the research of applying music to the field of mental health, especially in terms of risk prediction and early intervention.