Modelling the perception of music in brain network dynamics.

Frontiers in network physiology Pub Date : 2022-08-29 eCollection Date: 2022-01-01 DOI:10.3389/fnetp.2022.910920
Jakub Sawicki, Lenz Hartmann, Rolf Bader, Eckehard Schöll
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Abstract

We analyze the influence of music in a network of FitzHugh-Nagumo oscillators with empirical structural connectivity measured in healthy human subjects. We report an increase of coherence between the global dynamics in our network and the input signal induced by a specific music song. We show that the level of coherence depends crucially on the frequency band. We compare our results with experimental data, which also describe global neural synchronization between different brain regions in the gamma-band range in a time-dependent manner correlated with musical large-scale form, showing increased synchronization just before transitions between different parts in a musical piece (musical high-level events). The results also suggest a separation in musical form-related brain synchronization between high brain frequencies, associated with neocortical activity, and low frequencies in the range of dance movements, associated with interactivity between cortical and subcortical regions.

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用大脑网络动力学模拟音乐感知。
我们分析了音乐在菲茨休-纳古莫振荡器网络中的影响,该网络的结构连通性在健康人身上得到了实证测量。我们报告了我们网络中的全局动态与特定音乐诱导的输入信号之间一致性的增强。我们的研究表明,一致性的高低主要取决于频段。我们将我们的结果与实验数据进行了比较,实验数据也描述了伽马频段范围内不同脑区之间的全局神经同步性,这种同步性随时间变化,与音乐的大尺度形式相关。研究结果还表明,在与音乐形式相关的大脑同步中,与新皮层活动相关的高频率与舞蹈动作范围内的低频率之间存在分离,而舞蹈动作范围内的低频率与皮层和皮层下区域之间的交互作用相关。
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