我想的和你想的一样吗?基于多层网络的脑间同步方法。

Heegyu Kim, Sangyeon Kim, Sung Chan Jun, Chang S Nam
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引用次数: 0

摘要

社会互动在人类社会中起着至关重要的作用,包含了个体之间复杂的动态。为了从神经层面理解社会互动,研究人员在几种社会环境中使用了超扫描。这些研究主要集中在脑间同步和成对功能脑网络的效率上,研究了成对的群体相互作用。然而,这种方法可能不能完全捕获多个交互的复杂性,可能导致理解网络间差异的差距。为了克服这一限制,本研究旨在通过引入多层网络方法的方法增强来弥补这一差距,多层网络方法是为从多个网络中提取特征而量身定制的。我们运用这一策略分析社会行为过程中的三合一条件,以确定群体互动指标。此外,为了验证我们的方法,我们比较了具有群体同步的三重条件和没有群体同步的成对条件的多层网络,重点关注α波和β波之间的统计差异。脑间网络和群体网络的相关性分析表明,该方法准确地反映了实际行为同步性的特征。我们的研究结果表明,成对脑同步和群体互动的测量可能表现出不同的趋势,为解释群体同步提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is what I think what you think? Multilayer network-based inter-brain synchrony approach.

Social interaction plays a crucial role in human societies, encompassing complex dynamics among individuals. To understand social interaction at the neural level, researchers have utilized hyperscanning in several social settings. These studies have mainly focused on inter-brain synchrony and the efficiency of paired functional brain networks, examining group interactions in dyads. However, this approach may not fully capture the complexity of multiple interactions, potentially leading to gaps in understanding inter-network differences. To overcome this limitation, the present study aims to bridge this gap by introducing methodological enhancements using the multilayer network approach, which is tailored to extract features from multiple networks. We applied this strategy to analyze the triad condition during social behavior processes to identify group interaction indices. Additionally, to validate our methodology, we compared the multilayer networks of triad conditions with group synchrony to paired conditions without group synchrony, focusing on statistical differences between alpha and beta waves. Correlation analysis between inter-brain and group networks revealed that this methodology accurately reflects the characteristics of actual behavioral synchrony. The findings of our study suggest that measures of paired brain synchrony and group interaction may exhibit distinct trends, offering valuable insights into interpreting group synchrony.

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