Neuromarkers of Social Coordination: A Dynamical Approach competing renewal for

社会协调的神经标志物：竞争更新的动态方法

• 批准号: 8696464
• 负责人: J A SCOTT KELSO
• 金额: $ 42.68万
• 依托单位: FLORIDA ATLANTIC UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8696464
• 关键词: Achievement; Appearance; Area; Autistic Disorder; Behavior; Behavioral; Biological Markers; Brain; Clinical; Cognitive; Complex; Computer Simulation; Coupled; Coupling; Custom; Data; Dementia; Diagnosis; Disease; Electroencephalography; Evoked Potentials; Financial compensation; Fingers; Foundations; Functional disorder; Goals; Human; Individual; Interpersonal Relations; Investigation; Lead; Life; Maps; Measurement; Measures; Mental Depression; Methods; Mission; Modeling; Movement; Names; Outcome; Participant; Pathology; Pattern; Perception; Phase; Play; Process; Property; Records; Recruitment Activity; Research; Resolution; Resources; Role; Route; Schizophrenia; Social Behavior; Social Functioning; Social Interaction; Specific qualifier value; Structure; System; Techniques; Testing; Thalamencephalon; Theoretical model; Time; Variant; Work; base; behavior measurement; brain behavior; density; improved; infancy; insight; meetings; multi-scale modeling; neurobehavioral; neuromechanism; neuronal patterning; neurophysiology; neuropsychiatry; programs; public health relevance; relating to nervous system; remediation; research study; self organization; simulation; social; social neuroscience; spatiotemporal; theories; tool; virtual

DESCRIPTION (provided by applicant): The goal of this project is to discover the dynamical principles and mechanisms at play both within and between human brains during real-time social interaction. The research plan employs a three-pronged approach that combines (1) experimental manipulations to test specific hypotheses regarding key issues in the neurophysiology of social neuroscience (2) sophisticated measurement and analysis tools from the theory of dynamical systems, including virtual partner interaction (behavioral dynamic clamp of reciprocally coupled humans and model-partners) and (3) multiscale neurocomputational modeling of both structure and function in order to advance our understanding of how individual behavior and the interaction of individuals drives basic forms of social behavior. In our previous research, we established a comprehensive framework to tackle real- time interactions between people in simple, well-defined experimental paradigms in which pairs of participants simultaneously performed and perceived each other's movements. The research program led to the discovery of the phi complex, a neuromarker of social coordination. Also clarified were the contributions of other neuromarkers, especially alpha and mu, to different phases and facets of social behavior. What is most needed now -and what we seek support for in the present Competing Renewal- is to understand the dynamical orchestration of identified neuromarkers over the course of social behavior. The experimental thread works hand-in-hand with neurocomputational modeling of social behavior, theoretical models informing experiments and vice-versa. The aims of this research program-still very much in its infancy-- are (1) to elucidate the "neuromarker choreography", that is, to determine when each neuromarker is recruited and disengaged, which neuromarkers originate from which brain areas and how neuromarkers interact with each other in transient networks during the course of social behavior. All of the proposed work is geared to the prediction of efficient or deficient outcomes as assessed by detailed single trial analysis of real-time social behavior; (2) to construct a human dynamic clamp that allows for direct manipulation of the interaction between human participants and virtual partners endowed with human appearance and coordinative capacities. This new paradigm opens up the detailed parametric exploration of social behavior; and (3) to integrate the findings in a multiscale neuro- computational model of social behavior, a platform that will enable understanding of basic mechanisms of interpersonal interactions at combined neural, behavioral and social levels. Successful achievement of this program will specify the neurobehavioral routes leading to improved social function. Given the vast number of pathologies with etiological or symptomatic ties to social behavior, such information will afford many translational opportunities for the compensation or remediation of deficits in diseases such as autism, schizophrenia, depression and dementia to name just a few.

描述（由申请人提供）：该项目的目标是发现在实时社会互动过程中人脑内部和之间发挥作用的动力学原理和机制。该研究计划采用三管齐下的方法，结合（1）实验操作，以测试有关社会神经科学神经生理学关键问题的特定假设（2）来自动力系统理论的复杂测量和分析工具，包括虚拟伙伴互动（耦合的人类和模型伴侣的行为动态钳位）和（3）结构和功能的多尺度神经计算模型，以促进我们对个体行为和个体之间的相互作用如何驱动社会行为基本形式的理解。在我们以前的研究中，我们建立了一个全面的框架，以解决简单的，定义明确的实验范式，其中对参与者同时执行和感知对方的动作之间的真实的时间互动。这个研究项目导致了phi复合体的发现，这是一种社会协调的神经标志物。还阐明了其他神经标志物，特别是阿尔法和μ，对社会行为的不同阶段和方面的贡献。我们现在最需要的，也是我们在当前的竞争性更新中寻求支持的，是理解在社会行为过程中已识别的神经标记物的动态协调。实验线索与社会行为的神经计算建模密切相关，理论模型为实验提供信息，反之亦然。这项研究计划的目的-仍然处于起步阶段-是（1）阐明 “神经标记物编排”，即确定每种神经标记物何时被招募和脱离，哪些神经标记物来自哪些大脑区域，以及在社会行为过程中，神经标记物如何在瞬时网络中相互作用。所有提出的工作都是为了预测有效或有缺陷的结果，通过对实时社会行为的详细单次试验分析进行评估;（2）构建一个人类动态夹具，允许直接操纵人类参与者和具有人类外观和协调能力的虚拟合作伙伴之间的互动。这一新范式开启了对社会行为的详细参数探索;（3）将研究结果整合到社会行为的多尺度神经计算模型中，这一平台将使人们能够在神经、行为和社会相结合的水平上理解人际互动的基本机制。该计划的成功实现将指定导致改善社会功能的神经行为途径。鉴于大量的病理与社会行为的病因或症状联系，这些信息将提供许多翻译机会，用于补偿或补救疾病的缺陷，如自闭症，精神分裂症，抑郁症和痴呆症，仅举几例。