Wang Dan, Ren Yong, Chen Wenfeng
Department of Psychology, Renmin University of China, Beijing, China.
Brain Struct Funct. 2024 Dec;229(9):2269-2283. doi: 10.1007/s00429-024-02841-0. Epub 2024 Jul 25.
The development of social relationships influences a person's self-concept, which in turn affects their perceptions and neural correlates in social interactions. This study employed an EEG-based hyperscanning technique and a longitudinal design to investigate how the evolution of interpersonal relationships impacts inter-brain synchrony during nonverbal social-emotional interactions. The framework for this study is based on the self-expansion model. We found that dyads exhibited enhanced affective sharing abilities and increased brain-to-brain synchrony, particularly in the gamma rhythm across the frontal, parietal, and left temporoparietal regions, after seven months together compared to when they first met. Additionally, the results indicate that inter-brain coupling evolves as relationships develop, with synchrony in nonverbal social-emotional interactions increasing as self-expansion progresses. Crucially, in the deep learning model, interpersonal closeness can be successfully classified by inter-brain synchrony during emotional-social interactions. The longitudinal EEG-hyperscanning design of our study allows for capturing dynamic changes over time, offering new insights into the neurobiological foundations of social interaction and the potential of neural synchrony as a biomarker for relationship dynamics.
社会关系的发展会影响一个人的自我概念，而自我概念反过来又会影响他们在社交互动中的认知和神经关联。本研究采用基于脑电图的超扫描技术和纵向设计，以探究人际关系的演变如何在非言语社会情感互动中影响大脑间同步性。本研究的框架基于自我扩展模型。我们发现，与初次见面时相比，两人相处七个月后，二元组表现出更强的情感分享能力和大脑间同步性增强，特别是在额叶、顶叶和左侧颞顶叶区域的伽马节律中。此外，结果表明，随着关系的发展，大脑间耦合也在演变，随着自我扩展的推进，非言语社会情感互动中的同步性增加。至关重要的是，在深度学习模型中，人际亲密度可以通过情感社交互动期间的大脑间同步性成功分类。我们研究的纵向脑电图超扫描设计能够捕捉随时间的动态变化，为社交互动的神经生物学基础以及神经同步性作为关系动态生物标志物的潜力提供了新的见解。
