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Investigation of global and local network properties of music perception with culturally different styles of music

机译:研究具有不同文化风格的音乐知觉的全球和本地网络属性

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Background: Graph theoretical analysis has recently become a popular research tool in neuroscience, however, there have been very few studies on brain responses to music perception, especially when culturally different styles of music are involved.Methods: Electroencephalograms were recorded from ten subjects listening to Chinese traditional music, light music and western classical music. For event-related potentials, phase coherence was calculated in the alpha band and then constructed into correlation matrices. Clustering coefficients and characteristic path lengths were evaluated for global properties, while clustering coefficients and efficiency were assessed for local network properties.Results: Perception of light music and western classical music manifested small-world network properties, especially with a relatively low proportion of weights of correlation matrices. For local analysis, efficiency was more discernible than clustering coefficient. Nevertheless, there was no significant discrimination between Chinese traditional and western classical music perception.Conclusions: Perception of different styles of music introduces different network properties, both globally and locally. Research into both global and local network properties has been carried out in other areas; however, this is a preliminary investigation aimed at suggesting a possible new approach to brain network properties in music perception.
机译:背景:图论分析最近已成为神经科学中的一种流行研究工具,但是,关于音乐感知的大脑反应的研究很少,尤其是当涉及文化上不同风格的音乐时。方法:从十个听音乐的人身上记录脑电图中国传统音乐,轻音乐和西方古典音乐。对于与事件相关的电势,在α带中计算相位相干性,然后将其构建为相关矩阵。结果表明:轻音乐和西方古典音乐的感知表现出小世界的网络特性,尤其是在权重比重相对较低的情况下,具有全局特性的聚类系数和特征路径长度,而本地网络特性则具有聚类系数和效率。相关矩阵。对于局部分析,效率比聚类系数更明显。尽管如此,在中国传统音乐和西方古典音乐的感知之间并没有明显的区别。结论:对不同风格音乐的感知会在全球和本地引入不同的网络特性。已经在其他领域对全球和本地网络属性进行了研究;但是,这是一项初步调查,旨在为音乐感知中的大脑网络特性提出一种可能的新方法。

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