Mental Calculation Drives Reliable and Weak Distant Connectivity While Music Listening Induces Dense Local Connectivity.

IF 3.7 Q2 GENETICS & HEREDITY Phenomics (Cham, Switzerland) Pub Date : 2021-12-01 DOI:10.1007/s43657-021-00027-w
Gaoxing Zheng, Yuzhu Li, Xiaoying Qi, Wei Zhang, Yuguo Yu
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引用次数: 3

Abstract

Mathematical calculation usually requires sustained attention to manipulate numbers in the mind, while listening to light music has a relaxing effect on the brain. The differences in the corresponding brain functional network topologies underlying these behaviors remain rarely known. Here, we systematically examined the brain dynamics of four behaviors (resting with eyes closed and eyes open, tasks of music listening and mental calculation) using 64-channel electroencephalogram (EEG) recordings and graph theory analysis. We developed static and dynamic minimum spanning tree (MST) analysis method and demonstrated that the brain network topology under mental calculation is a more line-like structure with less tree hierarchy and leaf fraction; however, the hub regions, which are mainly located in the frontal, temporal and parietal regions, grow more stable over time. In contrast, music-listening drives the brain to exhibit a highly rich network of star structure, and the hub regions are mainly located in the posterior regions. We then adopted the dynamic dissimilarity of different MSTs over time based on the graph Laplacian and revealed low dissimilarity during mental calculation. These results suggest that the human brain functional connectivity of individuals has unique dynamic diversity and flexibility under various behaviors.

Supplementary information: The online version contains supplementary material available at 10.1007/s43657-021-00027-w.

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心算驱动可靠而微弱的远程连接,而听音乐则诱发密集的本地连接。
数学计算通常需要持续的注意力在头脑中处理数字,而听轻音乐对大脑有放松的作用。这些行为背后相应的大脑功能网络拓扑结构的差异仍然很少为人所知。本文采用64通道脑电图(EEG)记录和图论分析,系统地研究了四种行为(闭眼休息和睁眼休息、听音乐和心算)的脑动力学。建立了静态和动态最小生成树(MST)分析方法,证明了在心理计算下的脑网络拓扑结构更接近线状结构,树层次和叶分数较少;然而,中枢区域,主要位于额叶、颞叶和顶叶区域,随着时间的推移变得更加稳定。相比之下,听音乐使大脑呈现出高度丰富的星形结构网络,中枢区域主要位于后脑区域。然后,我们采用基于拉普拉斯图的不同mst随时间的动态不相似度,并在心算中发现了低不相似度。这些结果表明,个体的大脑功能连接在不同行为下具有独特的动态多样性和灵活性。补充信息:在线版本包含补充资料,下载地址:10.1007/s43657-021-00027-w。
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