Brain-to-brain dynamical Coupling: A New framework for the communication of social knowledge

项目摘要 现实生活中的社会互动需要两个或更多大脑之间的动态互动，如 每个人都会听、说、做，并相互适应以达成共同的理解。澄清 大脑如何形成这种共享的理解，需要从“一脑”转变为“多脑”的 参考，以及从人工实验室条件到自然的、真实的环境。在这里我们勾勒出一部小说的大纲 用于识别支撑关于社会现象的知识的大脑间动力耦合的框架(例如， 精神状态、社会规范、情感等)，此后称为“社会知识”。长期目标 我们实验室的目的是了解神经网络如何在大脑内部和大脑之间耦合，以创建和共享 能够促进社会理解和联系的信息。我们打算开发一种新的脑对脑 耦合框架，以更好地理解社会概念在大脑中如何呈现以及它们是如何呈现的 通过大脑转移来实现团队凝聚力。此应用程序的总体目标是识别 在现实生活交互中促进说话者和听者之间耦合的机制。这种方法 是创新的，因为它使用了为研究社会互动而优化的新实验范式 自然主义背景下，使用fMRI和fNIRS方法(单次扫描和超扫描)，以及 包括开发新的分析方法，用于模拟共享的大脑对复杂、自然的 现实生活中的社会刺激。这一贡献意义重大，因为拟议的研究将提供 对人脑的一项核心功能的新见解：通过动态和 互动地创造和分享社会知识。本申请中提出的工作将推进 了解大脑如何以促进社会理解和意志的方式处理和分享信息 开发检测和诊断沟通和发育障碍的新方法。

Project Summary Social interaction in real-life contexts necessitates dynamical interactions among two or more brains as individuals listen, speak, act, and mutually adapt to one another to reach shared understanding. Elucidating how brains forge such shared understanding requires shifting from a “one-brain” to a “multiple-brain” frame of reference, as well as from artificial laboratory conditions to natural, real-life settings. Here we outline a novel framework to identify inter-brain dynamical coupling that underpins knowledge about social phenomena (e.g., mental states, social norms, emotions, etc.), henceforth referred to as "social knowledge". The long-term goal of our laboratories is to understand how neural networks couple, within and across brains, to create and share information that enables social understanding and connectedness. We intend to develop a novel brain-to-brain coupling framework to better understand how social concepts are represented in the brain and how they are transferred across brains to achieve group cohesiveness. The overall objective of this application is to identify mechanisms that facilitate coupling across a speaker and a listener during real–life interaction. This approach is innovative because it uses new experimental paradigms optimize for studying social interactions in naturalistic contexts, employs both fMRI and fNIRS methods (single scanning and hyperscanning), and includes development of novel analysis methods for modeling shared brain responses to complex, natural social stimuli in real-life contexts. This contribution is significant because the proposed research will provide new insights into a central function of the human brain: the ability to connect with others by dynamically and interactively creating and sharing social knowledge. The work proposed in this application will advance knowledge of how brains process and share information in ways that promote social understanding and will produce new approaches for detecting and diagnosing communication and developmental disorders.