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

基本信息

批准号：
10268265
负责人：
Behnaam Aazhang
金额：
$ 13.68万
依托单位：
UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-30 至 2023-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10268265
关键词：
Address Altruism Animal Behavior Animals Area Attention Deficit Disorder Behavioral Brain Capuchin Monkey Cells Chronic Complex Computers Data Data Analyses 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 large datasets member neural network neuromechanism nonhuman primate novel strategies preference prevent relating to nervous system response sensory integration social social cognition social learning social neuroscience

项目摘要

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.

项目摘要/摘要社会互动是我们日常生活中无处不在的一个无处不在的方面，对物种的健康和生存至关重要，但是对它们的基本神经计算知之甚少。阻止我们理解的主要局限性社会认知的神经基础是缺乏合适的框架，使我们能够研究它的方式大脑网络之间的相互作用实时出现。确实，检查复杂的神经基础传统上，社交互动是通过研究实验室中非人类隐私的大脑来进行的在计算机上呈现合成刺激时恢复头部和身体的环境监视器。但是，已经越来越了解，研究大脑在空间限制的人造中实验室钻机对我们了解脑电路功能的能力有严重的限制。克服这些局限性，我们提出了一种新的方法来了解社会认知的神经基础。将使用高收益无线系统来研究社交互动的皮质动态和可塑性在多个视觉，临时和前额叶皮质区域记录人口活动，而非人类隐私正在与他们的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，该活动推动了与伦理学相关的行为中的社交互动涉及感官集成，记忆和复杂决策的任务。我们的集成项目带来创新的大脑记录技术和微电子学以及大数据集分析技术。我们提出的研究将通过移动社会神经科学来构成范式的转变 - 简单地观察动物行为并记录单细胞的反应 - 对在社交行为过程中，分布式神经元网络编码在自由移动非人类素数执行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的极大兴趣，研究正常和功能失调的神经网络，可能导致对自闭症和关注机制的医学见解损害社会互动的赤字障碍。