Large-scale recording of population activity during social cognition in freely moving non-human primates

大规模记录自由活动的非人类灵长类动物社会认知过程中的种群活动

• 批准号: 9791017
• 负责人: Behnaam Aazhang
• 金额: $ 53.9万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2021-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9791017
• 关键词: Address; Altruism; Animal Behavior; Animals; Area; Attention Deficit Disorder; Behavioral; Brain; Capuchin Monkey; Cells; Chronic; Complex; Computers; Data; Data Analyses; Data Set; Decision Making; Development; Environment; Evolution; Exhibits; Eye; Food; Free Will; Goals; Head; Health; Impairment; Implant; Inferior; Intelligence; Knowledge; Laboratories; Learning; Life; Macaca; Macaca mulatta; Medical; Memory; Mental Health; Monkeys; Neurons; Neurosciences; Pathway interactions; Performance; Population; Prefrontal Cortex; Primates; Property; Reporting; Research; Rewards; Schedule; Signal Transduction; Silk; Social Behavior; Social Concepts; Social Interaction; Social Values; Stimulus; System; Techniques; Technology; Temporal Lobe; Testing; Time; Touch sensation; Training; Utah; Visual; Visual Cortex; Visual Perception; Wireless Technology; area V4; autism spectrum disorder; base; brain dysfunction; computer monitor; driving force; grasp; improved; innovation; insight; interest; member; neural network; neuromechanism; nonhuman primate; novel strategies; preference; prevent; relating to nervous system; response; sensory integration; social; social cognition; social learning; social neuroscience

PROJECT SUMMARY/ABSTRACT Social interactions, a ubiquitous aspect of our everyday life, are critical to the health and survival of the species, but little is known about their underlying neural computations. The major limitation preventing our understanding of the neural underpinnings of social cognition is the lack of a suitable framework to allow us to study how it emerges in real time from interactions among brain networks. Indeed, examining the neural bases of complex social interactions has been traditionally performed by studying the brain of nonhuman primates in a laboratory environment in which the head and body are restrained while synthetic stimuli are presented on a computer monitor. However, it has become increasingly understood that studying the brain in spatially confined, artificial laboratory rigs poses severe limits on our capacity to understand the function of brain circuits. To overcome these limitations, we propose a novel approach to understand the neural underpinnings of social cognition. We will use a high-yield wireless system to study the cortical dynamics and plasticity of social interactions by recording population activity in multiple visual, temporal, and prefrontal cortical areas while nonhuman primates are interacting freely with their environment and with other animals. This new approach will enable us to uncover the dynamics of neuronal network activity that drives social interactions in an ethologically relevant behavioral task that involves sensory integration, memory, and complex decision-making. Our integrative project brings together innovative brain recording technologies and microelectronics together with large data sets analysis techniques. Our proposed research will constitute a paradigm shift by moving social neuroscience – from simply observing animal behavior and recording the responses of single cells – to a quantitative understanding of the distributed neuronal network encoding during social behavior in freely moving nonhuman primates performing rich naturalistic tasks. We anticipate that the large quantity of neural data recorded using our approach will be of great interest to clinicians and computational neuroscientists studying general properties of normal and dysfunctional neural networks, possibly leading to medical insights into the mechanisms of autism and attention deficit disorders that impair social interactions.

项目概要/摘要 社会互动是我们日常生活中无处不在的一个方面，对于物种的健康和生存至关重要， 但人们对它们底层的神经计算知之甚少。阻碍我们理解的主要限制 社会认知的神经基础的一个问题是缺乏合适的框架来让我们研究它如何 从大脑网络之间的相互作用中实时出现。事实上，检查复杂的神经基础 传统上，社交互动是通过在实验室中研究非人类灵长类动物的大脑来进行的 当计算机上呈现合成刺激时，头部和身体受到限制的环境 监视器。然而，人们越来越认识到，在空间有限的人工环境中研究大脑 实验室设备严重限制了我们理解大脑回路功能的能力。克服 针对这些局限性，我们提出了一种新方法来理解社会认知的神经基础。我们 将使用高产无线系统来研究社交互动的皮层动力学和可塑性 记录非人类灵长类动物在多个视觉、颞叶和前额皮质区域的种群活动 与环境和其他动物自由互动。这种新方法将使我们能够发现 神经元网络活动的动态，驱动与行为学相关的行为中的社会互动 涉及感觉统合、记忆和复杂决策的任务。我们的综合项目带来 将创新的大脑记录技术和微电子技术与大数据集分析结合起来 技术。我们提出的研究将通过推动社会神经科学来构成范式转变——从简单的 观察动物行为并记录单细胞的反应——定量了解 自由移动的非人类灵长类动物的社会行为过程中的分布式神经元网络编码 丰富的自然主义任务。我们预计使用我们的方法记录的大量神经数据将是 临床医生和计算神经科学家对研究正常和正常神经的一般特性非常感兴趣 功能失调的神经网络，可能导致对自闭症和注意力机制的医学见解 损害社交互动的缺陷障碍。