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The Effect of Perceived Groove in Music on Effective Brain Connectivity during Cycling: An F-NIRS Study.
Medicine & Science in Sports & Exercise ( IF 4.1 ) Pub Date : 2024-11-22 , DOI: 10.1249/mss.0000000000003609
Jiangang Chen,Gaoquan Zhou,Junbo Han,Pei Su,Hongli Zhang,Donghui Tang

INTRODUCTION Perceived groove, a complex and integrated musical characteristic, is considered a core factor in inducing synchronization between movement and music. This study aimed to employ functional near-infrared spectroscopy (fNIRS) to explore the effective connectivity (EC) changes among brain regions during cycling activities under different perceived groove conditions. METHODS In a randomized crossover design, 18 university students performed 3-min cycling tasks under high (HG) and low (LG) perceived groove music conditions. Revolutions per minute (RPM), coefficient of variation of pedaling cadence (CVPC), and sensorimotor coupling index (SMCI) were measured. Granger causality analyses were performed on the fNIRS data from the cycling task to obtain EC matrices at the brain region and channel (Ch) levels. RESULTS The RPM was significantly higher, and CVPC and SMCI were significantly lower in HG than in LG. The EC values of the Brodmann Area (BA) 8→the left prefrontal cortex (lPFC), the superior portion of BA 6 (BA 6_Sup)→lPFC, and BA 1-3→lPFC were significantly higher in HG than in LG. Channel analyses indicated that the EC values of Ch 14→Ch 9, Ch 41→Ch 9, Ch 14→Ch 10, Ch 41→Ch 10, Ch 31→Ch 10, and Ch 35→Ch 23 were significantly higher in HG than in LG. Correlation analysis revealed that the EC values of the channels included in BA 6_Sup→lPFC were significantly correlated with cycling performance metrics. CONCLUSIONS The EC changes from BA 6_Sup to lPFC may play a critical role in the process through which perceived groove affects the synchronization of cycling to music.

中文翻译:


音乐中感知的律动对骑行过程中有效大脑连接的影响:一项 F-NIRS 研究。



引言 感知律动是一种复杂而综合的音乐特征,被认为是诱导动作和音乐之间同步的核心因素。本研究旨在采用功能近红外光谱 (fNIRS) 来探讨不同感知凹槽条件下骑行活动期间脑区之间的有效连接 (EC) 变化。方法 在随机交叉设计中,18 名大学生在高 (HG) 和低 (LG) 感知的律动音乐条件下执行 3 分钟的骑行任务。测量每分钟转数 (RPM) 、蹬踏踏频变异系数 (CVPC) 和感觉运动耦合指数 (SMCI)。对来自循环任务的 fNIRS 数据进行 Granger 因果关系分析,以获得大脑区域和通道 (Ch) 水平的 EC 矩阵。结果 HG 的 RPM 显著高于 LG,CVPC 和 SMCI 显著低于 LG。HG 中布罗德曼区 (BA) 8→左前额叶皮层 (lPFC)、BA 6 上部 (BA 6_Sup)→lPFC 和 BA 1-3→lPFC 的 EC 值显著高于 LG。通道分析表明,Ch 14→Ch 9、Ch 41→Ch 9、Ch 14→Ch 10、Ch 41→Ch 10、Ch 31→Ch 10、 和 Ch 35→Ch 23 在 HG 中显著高于 LG。相关性分析显示,BA 6_Sup→lPFC 中包含的通道的 EC 值与循环性能指标显著相关。结论 EC 从 BA 6_Sup 变为 lPFC 可能在感知凹槽影响骑行与音乐同步的过程中起关键作用。
更新日期:2024-11-22
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