1)天津大学医学工程与转化医学研究院,天津 300072;2)天津大学医学工程与转化医学研究院,先进医用材料与医疗器械全国重点实验室,天津 300072;3)脑机交互与人机共融海河实验室,天津 300384;4)北京机械设备研究研究所,北京 100120;5)Swartz Center for Computational Neuroscience, University of California, San Diego, CA 92093, USA
国家重点研发计划(2023YFF1203900),国家自然科学基金(62406220),中国博士后科学基金(2023M742604)和国家资助博士后研究人员计划(GZC20231916)资助项目。
1)Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China;2)Academy of Medical Engineering and Translational Medicine, State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin 300072, China;3)Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin 300384, China;4)Beijing Institute of Mechanical Equipment, Beijing 100120, China;5)Swartz Center for Computational Neuroscience, University of California, San Diego, CA 92093, USA
This work was supported by grants from the National Key Research and Development Program of China (2023YFF1203900), The National Natural Science Foundation of China (62406220), China Postdoctoral Science Foundation (2023M742604), and Postdoctoral Fellowship Program of CPSF (GZC20231916).
社会互动作为人类认知与行为发展的核心,研究其神经机制有助于揭示群体协作、知识传递等高级社会功能的神经生物学基础。近年来,社会神经科学研究利用超扫描(hyperscanning)技术和脑-脑耦合(brain-to-brain coupling,BBC)分析,揭示了社会互动中的群体神经动力学机制。研究主要覆盖了与社会互动高度相关的人际交流、任务协作和师生教学等3个情境。然而,目前尚未在统一的框架下分析不同情境的脑-脑耦合驱动因素及其在自然范式下的相互作用模式,各因素在不同情境、范式中的脑-脑耦合驱动机制尚未明确。因此,本文以社会互动中生态效度递增的3个社交情境为主线,系统梳理不同情境的超扫描研究范式及脑-脑耦合模式,总结评述不同情境下、不同研究范式中外源性与内源性驱动因素对脑-脑耦合的作用机制,构建跨社交情境的脑-脑耦合驱动机制理论框架,以期为社会神经科学研究中自然范式的驱动因素变量控制提供方法学依据。
Social interaction is central to the development of human cognition and behavior. Studying the neural mechanisms of social interaction helps reveal the neurobiological basis of social functions, such as group cooperation and knowledge transfer. In recent years, social neuroscience research has adopted hyperscanning technology and brain-to-brain coupling (BBC) measurements to reveal the group neural dynamics mechanisms under social interactions. Existing studies have primarily focused on three social contexts highly relevant to social interaction, namely interpersonal communication, task collaboration, and teacher-student instruction. However, the driving factors of BBC across these contexts and their interaction patterns under naturalistic paradigms have not yet been systematically analyzed within a unified framework, and the underlying driving mechanisms remain unclear. To address this limitation, the present review focused on three social contexts with increasing ecological validity in social interaction. It systematically examines the exogenous and endogenous drivers of BBC across these contexts and reveals commonalities and differences across contexts. Exogenous factors provide external conditions and spatiotemporal framework for interaction through sensory input and behavioral patterns. These external conditions induce BBC by guiding individuals to focus on the same target within the same time window, thereby invoking shared attention. However, exogenous drivers can only ensure surface alignment of interactions. Without the support of endogenous drivers, brain-brain coupling is difficult to maintain or deepen. Endogenous factors determine the depth and continuity of interactions through high-level social cognitive processing. Specifically, social closeness enhances trust and empathy between interacting partners, promoting interpersonal multimodal information integration and emotional empathy. Shared attention is the key link for individuals to move from behavioral alignment to initial coupling at the neural level. Shared intentionality led individuals to converge on goals and strategies, forming cognitive predictions during the cooperation process. Shared understanding ensures that individuals can perform high-level cognitive processing based on a common knowledge framework. The above-mentioned endogenous driving factors enhance BBC by engaging higher-order cognitive regions such as the prefrontal cortex, temporoparietal junction, and default mode network. This engagement enables the interaction to shift from transient attention coupling to stable intention alignment and cognitive sharing. Therefore, the formation of BBC can be viewed as a process that evolves “from external to internal, from weak to strong”. Exogenous driving factors initiate neural alignment through shared attention. Endogenous driving factors then strengthen BBC via shared understanding and shared intentionality. Together, these processes support the construction of group-level shared cognition. Finally, this article summarized the current challenges in research on the driving mechanisms of BBC and provided an outlook for future development. First, it is necessary to theoretically establish a hierarchical model of brain-brain coupling based on a hierarchy of cognitive complexity, systematically distinguishing between the characteristics of BBC driven by low-level processes and higher-level interpersonal shared cognitive mechanisms. Second, at the methodological and technical level, future development of multimodal hyperscanning systems such as EEG-fNIRS and closed-loop hyper-transcranial alternating current stimulation could comprehensively analyze the dynamic evolution of BBC related to shared cognition in the temporal, spatial, and frequency domains. In summary, this article constructed a theoretical framework for the driving mechanisms of BBC across social contexts, hoping to provide a methodological basis for controlling the driving factors of naturalistic paradigms in social neuroscience research.
王正义,舒蕾锦,于海情,陈远方,许敏鹏,钟子平,明东.社会互动中脑-脑耦合的跨情境驱动机制[J].生物化学与生物物理进展,2025,52(12):3108-3124 WANG Zheng-Yi, SHU Lei-Jin, YU Hai-Qing, CHEN Yuan-Fang, XU Min-Peng, JUNG Tzyy-Ping, MING Dong. Multi-contextual Driving Mechanisms of Brain-to-brain Coupling in Social Interaction[J]. Progress in Biochemistry and Biophysics,2025,52(12):3108-3124
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