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

脑对脑动态耦合：社会知识交流的新框架

基本信息

批准号：
9286674
负责人：
Uri Hasson
金额：
$ 52.44万
依托单位：
PRINCETON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-04-01 至 2022-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9286674
关键词：
Behavior Biological Markers Biological Neural Networks Brain Caregivers Child Clinical Cognition Communication Complex Coupled Coupling Detection Development Diagnosis Effectiveness Emotions Event Friends Functional Magnetic Resonance Imaging Future Goals Hand Human Impairment Individual Intervention Knowledge Laboratories Life Mathematics Measurement Measures Mediation Mental Health Mental Processes Methods Mind Modeling Nature Outcome Participant Patients Persons Pharmacology Problem Solving Process Protocols documentation Psyche structure Research Scanning Shapes Sister Social Behavior Social Concepts Social Environment Social Interaction Stimulus Testing Thalamencephalon Time Woman Work analytical tool base cohesion developmental disease dyadic interaction effective intervention effective therapy experimental study improved innovation insight member mental state neural patterning neuroimaging novel novel strategies portability psychologic relating to nervous system response social social cognition social communication social norm social situation tool

项目摘要

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.

项目概要现实生活中的社交互动需要两个或多个大脑之间的动态互动个体倾听、说话、行动并相互适应以达成共同的理解。大脑如何形成这种共同的理解需要从“单脑”框架转变为“多脑”框架参考，以及从人工实验室条件到自然、现实生活的环境，我们在这里概述了一种新颖的方法。框架来识别支持社会现象知识的脑间动态耦合（例如，心理状态、社会规范、情绪等），以下称为“社会知识”。我们实验室的目标是了解神经网络如何在大脑内部和大脑之间耦合，以创建和共享我们打算开发一种新型的脑对脑的信息。耦合框架，以更好地理解社会概念如何在大脑中表示以及它们是如何表达的该应用程序的总体目标是识别。在现实生活中的交互过程中促进说话者和听者之间耦合的机制。之所以具有创新性，是因为它使用了新的实验范式，优化了研究社会互动的方法自然环境，采用 fMRI 和 fNIRS 方法（单次扫描和超扫描），以及包括开发新颖的分析方法，用于模拟共享的大脑对复杂、自然的反应这一贡献意义重大，因为拟议的研究将提供对人类大脑核心功能的新见解：通过动态和动态方式与他人联系的能力交互式地创建和共享社会知识将推进该应用程序中提出的工作。了解大脑如何以促进社会理解和意志的方式处理和共享信息产生检测和诊断沟通和发育障碍的新方法。