Music and Brain Circuitry: Strategies for Strengthening Evidence-Based Research for Music-Based Interventions

音乐疗法 心理学 脑刺激 心理干预 多样性(控制论) 神经科学 积极倾听 感知 音乐心理学 认知心理学 音乐学 计算机科学 人工智能 沟通 心理治疗师 刺激 精神科 教育学
作者
Wen Chen,John R. Iversen,Mimi H. Kao,Psyche Loui,Aniruddh D. Patel,Robert J. Zatorre,Emmeline Edwards
出处
期刊:The Journal of Neuroscience [Society for Neuroscience]
卷期号:42 (45): 8498-8507 被引量:34
标识
DOI:10.1523/jneurosci.1135-22.2022
摘要

The neuroscience of music and music-based interventions (MBIs) is a fascinating but challenging research field. While music is a ubiquitous component of every human society, MBIs may encompass listening to music, performing music, music-based movement, undergoing music education and training, or receiving treatment from music therapists. Unraveling the brain circuits activated and influenced by MBIs may help us gain better understanding of the therapeutic and educational values of MBIs by gathering strong research evidence. However, the complexity and variety of MBIs impose unique research challenges. This article reviews the recent endeavor led by the National Institutes of Health to support evidence-based research of MBIs and their impact on health and diseases. It also highlights fundamental challenges and strategies of MBI research with emphases on the utilization of animal models, human brain imaging and stimulation technologies, behavior and motion capturing tools, and computational approaches. It concludes with suggestions of basic requirements when studying MBIs and promising future directions to further strengthen evidence-based research on MBIs in connections with brain circuitry. SIGNIFICANCE STATEMENT Music and music-based interventions (MBI) engage a wide range of brain circuits and hold promising therapeutic potentials for a variety of health conditions. Comparative studies using animal models have helped in uncovering brain circuit activities involved in rhythm perception, while human imaging, brain stimulation, and motion capture technologies have enabled neural circuit analysis underlying the effects of MBIs on motor, affective/reward, and cognitive function. Combining computational analysis, such as prediction method, with mechanistic studies in animal models and humans may unravel the complexity of MBIs and their effects on health and disease.
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