Study on the regulation of neural cell activity by music therapy based on biosensor technology
Abstract
With the deepening of biomechanical research and the transformation of medical paradigms, finding safe and effective methods for neural modulation has become an urgent task. This study combines music therapy with biosensing technology to explore their regulatory effects on neuronal cell activity. Data were collected from individuals with diverse cultural backgrounds, musical preferences, and age groups using microelectrode array sensors and fluorescence sensors to monitor changes in neuronal electrical activity and ion concentration. The results show that different types of music have distinct characteristics in enhancing neuronal cell activity, with classical music being particularly effective, followed by pop and rock music; additionally, intervention duration is positively correlated with neuronal cell activity. Based on these findings, it is recommended to actively promote the clinical application of music therapy, expand research directions, optimize music selection, bring new breakthroughs to the field of neuroscience, and provide a basis for improving music therapy protocols. Future research will further explore the personalized application of music therapy and the optimization of biosensing technology.
References
1. Thaut MH, McIntosh GC, Rice RR, Hodgson L. The effects of rhythmic auditory stimulation on gait in hemiparetic stroke patients. Physical Therapy. 1999; 79(10):1016-1028.
2. Potter SM, DeMarse TB. A flexible multielectrode array for long-term, multichannel recording of neural activity. Journal of Neuroscience Methods. 2001; 107(2): 173-181.
3. Brown RK, Davis JK. New Insights into the Role of Music Therapy in Pediatric Rehabilitation. Pediatric Medicine Journal. 2018; 32(4): 345-356.
4. Green MP, Black TR. The Efficacy of Virtual Reality in Cognitive Rehabilitation for Alzheimers Patients. Geriatric Research Quarterly. 2015; 25(2): 145-158.
5. Miller JD, wilson AB. Advanced Electrophysiological Techniques for Monitoring Neural Activity in Epilepsy Patients. Neurology and Neuroscience Review. 2019; 18(3): 201-215.
6. Garcia SR, Hernandez LM. The Influence of Diet on Neuroinflammation and Cognitive Function in Aging Adults. Nutrition and Brain Health Journal. 2021; 15(1): 45-58.
7. Garcia SR, Hernandez LM. The Influence of Diet on Neuroinflammation and Cognitive Function in Aging Adults. Nutrition and Brain Health Journal. 2021; 15(1): 45-58.
8. Wang Y, Liu Z. Genetic Markers Associatedwith Susceptibility to Neurodegenerative Diseases. Genetics and Neuroscience Journal. 2022; 22(3): 256-268.
9. Chen H, Zhang S. Non - invasive Brain - Computer Interface Technology: Current Status and Future Prospects. Biomedical Engineering Journal. 2020; 30(4): 389-402.
10. Singh R, Gupta A. The Role of Exercise in Promoting Neurogenesis in the Adult Brain. Sports Science and Neuroscience. 2019; 18(2): 156-168.
11. Patel AK, Sharma R. The Effect of Meditation on Brain Activity and Emotional Regulation: A Functional MRI Study. Mind - Body Research Journal. 2023; 10(1): 23-35.
12. Chen TW, Wardill TJ, Sun Y, et al. Ultrasensitive fluorescent proteins for imaging neuronal activity. Nature. 2013; 499(7458): 295-300.
13. Norton A, Zipse L, Marchina S, Schlaug G. Melodic intonation therapy: Neural substrates, basic principles, and a structured method for assessment and treatment. Music Perception: An Interdisciplinary Journal. 2009; 26(3): 213-231.
14. Mehrholz J, Pohl M, Kugler J, Timmann D. Rhythmic auditory - cueing for gait - training in patients with stroke. Cochrane Database of Systematic Reviews. 2009; 3: CD006696.
15. Grienberger C, Konnerth A. Imaging calcium in neurons. Neuron. 2012; 73(5): 862-885.
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