Dynamic brain networks in spontaneous gestural communication.

IF 3.6 1区 心理学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Xinyue Wang, Kelong Lu, Yingyao He, Xinuo Qiao, Zhenni Gao, Yu Zhang, Ning Hao
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引用次数: 0

Abstract

Gestures accent and illustrate our communication. Although previous studies have uncovered the positive effects of gestures on communication, little is known about the specific cognitive functions of different types of gestures, or the instantaneous multi-brain dynamics. Here we used the fNIRS-based hyperscanning technique to track the brain activity of two communicators, examining regions such as the PFC and rTPJ, which are part of the mirroring and mentalizing systems. When participants collaboratively solved open-ended realistic problems, we characterised the dynamic multi-brain states linked with specific social behaviours. Results demonstrated that gestures are associated with enhanced team performance, and different gestures serve distinct cognitive functions: interactive gestures are accompanied by better team originality and a more efficient inter-brain network, while fluid gestures correlate with individual cognitive fluency and efficient intra-brain states. These findings reveal a close association between social behaviours and multi-brain networks, providing a new way to explore the brain-behaviour relationship.

自发手势交流中的动态大脑网络
手势强调并说明了我们的交流。尽管之前的研究已经揭示了手势对交流的积极影响,但人们对不同类型手势的具体认知功能或瞬时多脑动态却知之甚少。在这里,我们使用了基于 fNIRS 的超扫描技术来追踪两位交流者的大脑活动,检查了作为镜像和心智化系统一部分的前额叶功能区(PFC)和后前额叶功能区(rTPJ)等区域。当参与者合作解决开放式现实问题时,我们描述了与特定社交行为相关的动态多脑状态。结果表明,手势与团队绩效的提高有关,不同的手势具有不同的认知功能:互动手势具有更好的团队原创性和更高效的脑际网络,而流畅手势则与个人认知流畅性和高效的脑内状态相关。这些发现揭示了社会行为与多脑网络之间的密切联系,为探索大脑与行为的关系提供了一种新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.40
自引率
7.10%
发文量
29
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