{"title":"音乐中的感知节奏对骑自行车时大脑有效连接性的影响:F-NIRS 研究","authors":"Jiangang Chen, Gaoquan Zhou, Junbo Han, Pei Su, Hongli Zhang, Donghui Tang","doi":"10.1249/MSS.0000000000003609","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Perceived groove, a complex and integrated musical characteristic, is considered a core factor in inducing synchronization between movement and music. This study aimed to use functional near-infrared spectroscopy to explore the effective connectivity (EC) changes among brain regions during cycling activities under different perceived groove conditions.</p><p><strong>Methods: </strong>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, coefficient of variation of pedaling cadence, and sensorimotor coupling index were measured. Granger causality analyses were performed on the functional near-infrared spectroscopy data from the cycling task to obtain EC matrices at the brain region and channel (Ch) levels.</p><p><strong>Results: </strong>The revolution per minute was significantly higher, and coefficient of variation of pedaling cadence and sensorimotor coupling index 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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":18426,"journal":{"name":"Medicine and Science in Sports and Exercise","volume":" ","pages":"857-866"},"PeriodicalIF":4.1000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Effect of Perceived Groove in Music on Effective Brain Connectivity during Cycling: An fNIRS Study.\",\"authors\":\"Jiangang Chen, Gaoquan Zhou, Junbo Han, Pei Su, Hongli Zhang, Donghui Tang\",\"doi\":\"10.1249/MSS.0000000000003609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Perceived groove, a complex and integrated musical characteristic, is considered a core factor in inducing synchronization between movement and music. This study aimed to use functional near-infrared spectroscopy to explore the effective connectivity (EC) changes among brain regions during cycling activities under different perceived groove conditions.</p><p><strong>Methods: </strong>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, coefficient of variation of pedaling cadence, and sensorimotor coupling index were measured. Granger causality analyses were performed on the functional near-infrared spectroscopy data from the cycling task to obtain EC matrices at the brain region and channel (Ch) levels.</p><p><strong>Results: </strong>The revolution per minute was significantly higher, and coefficient of variation of pedaling cadence and sensorimotor coupling index 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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":18426,\"journal\":{\"name\":\"Medicine and Science in Sports and Exercise\",\"volume\":\" \",\"pages\":\"857-866\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medicine and Science in Sports and Exercise\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1249/MSS.0000000000003609\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/11/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicine and Science in Sports and Exercise","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1249/MSS.0000000000003609","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/22 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
导读:感知槽是一种复杂而完整的音乐特征,被认为是诱导动作与音乐同步的核心因素。本研究旨在利用功能近红外光谱(fNIRS)研究不同感知沟槽条件下骑行活动中脑区有效连通性(EC)的变化。方法:采用随机交叉设计,对18名大学生在高(HG)和低(LG)感知槽音乐条件下进行3分钟骑行任务。测量每分钟转数(RPM)、踏频变异系数(CVPC)和感觉运动耦合指数(SMCI)。对循环任务的fNIRS数据进行格兰杰因果分析,以获得脑区和通道(Ch)水平的EC矩阵。结果:HG组的RPM显著高于LG组,CVPC和SMCI显著低于LG组。HG组的Brodmann Area (BA) 8→左前额叶皮层(lPFC)、ba6 (BA 6_Sup)上部分→lPFC、ba1 -3→lPFC的EC值显著高于LG组。通道分析表明,ch14→ch9、ch41→ch9、ch14→ch10、ch41→ch10、ch31→ch10和ch35→ch23的EC值在HG中显著高于LG。相关分析表明,BA 6_Sup→lPFC所包含通道的EC值与循环性能指标显著相关。结论:从BA 6_Sup到lPFC的EC变化可能在感知槽影响音乐循环同步的过程中起关键作用。
The Effect of Perceived Groove in Music on Effective Brain Connectivity during Cycling: An fNIRS Study.
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 use functional near-infrared spectroscopy 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, coefficient of variation of pedaling cadence, and sensorimotor coupling index were measured. Granger causality analyses were performed on the functional near-infrared spectroscopy data from the cycling task to obtain EC matrices at the brain region and channel (Ch) levels.
Results: The revolution per minute was significantly higher, and coefficient of variation of pedaling cadence and sensorimotor coupling index 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.
期刊介绍:
Medicine & Science in Sports & Exercise® features original investigations, clinical studies, and comprehensive reviews on current topics in sports medicine and exercise science. With this leading multidisciplinary journal, exercise physiologists, physiatrists, physical therapists, team physicians, and athletic trainers get a vital exchange of information from basic and applied science, medicine, education, and allied health fields.