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首页> 美国卫生研究院文献>Brain Sciences >Modifications in the Topological Structure of EEG Functional Connectivity Networks during Listening Tonal and Atonal Concert Music in Musicians and Non-Musicians
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Modifications in the Topological Structure of EEG Functional Connectivity Networks during Listening Tonal and Atonal Concert Music in Musicians and Non-Musicians

机译：在音乐家和非音乐家聆听音乐和局势音乐音乐中EEG功能连接网络拓扑结构的修改

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The present work aims to demonstrate the hypothesis that atonal music modifies the topological structure of electroencephalographic (EEG) connectivity networks in relation to tonal music. To this, EEG monopolar records were taken in musicians and non-musicians while listening to tonal, atonal, and pink noise sound excerpts. EEG functional connectivities (FC) among channels assessed by a phase synchronization index previously thresholded using surrogate data test were computed. Sound effects, on the topological structure of graph-based networks assembled with the EEG-FCs at different frequency-bands, were analyzed throughout graph metric and network-based statistic (NBS). Local and global efficiency normalized (vs. random-network) measurements (NLE|NGE) assessing network information exchanges were able to discriminate both music styles irrespective of groups and frequency-bands. During tonal audition, NLE and NGE values in the beta-band network get close to that of a small-world network, while during atonal and even more during noise its structure moved away from small-world. These effects were attributed to the different timbre characteristics (sounds spectral centroid and entropy) and different musical structure. Results from networks topographic maps for strength and NLE of the nodes, and for FC subnets obtained from the NBS, allowed discriminating the musical styles and verifying the different strength, NLE, and FC of musicians compared to non-musicians.
机译：目前的作品旨在展示Atonal Music改变脑电图（EEG）连接网络的拓扑结构与色调音乐的假设。为此，EEG单位单据记录是在音乐家和非音乐家的同时在听音乐，透明和粉红色的噪音摘录。通过使用代理数据测试先前阈值评估的相位同步索引评估的频道之间的eEG功能连接（FC）。在整个图形度量和网络的统计（NBS）中分析了在与不同频带的EEG-FC组装的基于图的基于图形的网络的拓扑结构的声音效果。评估网络信息交换的本地和全球效率标准化（VS.随机网络）测量（NLE | NGE）能够区分音乐风格，而不论组和频带。在音调试镜期间，Beta频带网络中的NLE和NGE值接近小世界网络，同时在透耳期间，在噪音中甚至更多，其结构远离小世界。这些效果归因于不同的Timbre特征（声音谱质心和熵）和不同的音乐结构。网络地形图的结果为节点的强度和NLE，以及从NB获得的FC子网，允许识别音乐风格并验证音乐家的不同实力，NLE和FC和非音乐家的FC。

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