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大脑网络动力学中音乐感知的建模

Modelling the perception of music in brain network dynamics.

作者信息

Sawicki Jakub, Hartmann Lenz, Bader Rolf, Schöll Eckehard

机构信息

Potsdam Institute for Climate Impact Research, Potsdam, Germany.

Institut für Musikpädagogik, Universität der Künste Berlin, Berlin, Germany.

出版信息

Front Netw Physiol. 2022 Aug 29;2:910920. doi: 10.3389/fnetp.2022.910920. eCollection 2022.

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.

摘要

我们分析了音乐对具有在健康人类受试者中测量的经验性结构连通性的FitzHugh-Nagumo振荡器网络的影响。我们报告了我们网络中的全局动态与特定音乐歌曲诱导的输入信号之间的相干性增加。我们表明,相干水平关键取决于频带。我们将我们的结果与实验数据进行比较,实验数据也以与音乐大规模形式相关的时间依赖性方式描述了不同脑区之间在伽马波段范围内的全局神经同步,显示在音乐作品中不同部分之间的过渡之前(音乐高级事件)同步增加。结果还表明,与新皮层活动相关的高脑频率和与皮层和皮层下区域之间的相互作用相关的舞蹈动作范围内的低频之间,在与音乐形式相关的脑同步方面存在分离。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdc0/10013054/8abb89b11289/fnetp-02-910920-g001.jpg

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