CRCNS:Predictability as a New Paradigm for Rodent Social Neurobiology

CRCNS：可预测性作为啮齿动物社会神经生物学的新范式

基本信息

批准号：
10213590
负责人：
Gordon Joseph Berman
金额：
$ 44.19万
依托单位：
EMORY 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：
2017-09-13 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10213590
关键词：
Address Altruism American Amygdaloid structure Animal Experimentation Behavior Behavioral Brain Clinical Cognition Complex Computing Methodologies Corpus striatum structure Cues Data Disease Electrophysiology (science)Empathy Face Future Genetic Goals Human Subject Research Individual Individual Differences Knowledge Learning Link Measures Microtus Modeling Molecular National Institute of Mental Health Neurobiology Neurosecretory Systems Nucleus Accumbens Pair Bond Positive Valence Prefrontal Cortex Process Research Research Domain Criteria Rewards Rodent Rodent Model Schizophrenia Sensory Social Behavior Social Environment Social Interaction Social Phobia Social Processes Stereotyped Behavior Stereotyping System Time Withdrawal affiliative behavior autism spectrum disorder base behavioral response cognitive process cognitive system dark matter information processing insight interest neural circuit neural network neuromechanism novel prairie vole predictive modeling preference relating to nervous system social social attachment social deficits social engagement social neuroscience stereotypy ward

项目摘要

A long-lasting social attachment is built over a course of positive interactions with another individual. Forming such social bonds involves cognitive processes like perceiving salient sensory cues, learning their positive value, and selecting appropriately prosocial behavioral actions. Elucidating the mechanisms of such a complex natural behavior is a Strategic Objective of the NIMH. Our proposal will advance this Objective by contributing new knowledge within the RDoC domains of Social Processes, Positive Valence and Cognitive Systems. Our long-term goal is to enable a more vertical understanding of how molecular mechanisms influence neural circuits underlying moment-by-moment processes that must occur to build enduring social bonds. Our objective here is to use the principles of stereotypy and predictability to elucidate the behavioral and neural dynamics that underlie social bonding in the prairie vole (Microtus ochrogaster), a premier system for uncovering genetic and neuroendocrine mechanisms of social attachments. We will measure social behaviors and striatal, cortical and amygdalar neural activity over long time scales and build predictive models of the social dynamics leading to a bond. Our central hypothesis is that trajectories of stereotyped social behaviors and corresponding neural activity are predictable from a latent internal state of "pair-bondedness"; and that modeling the dynamics of this latent state will help predict future social interactions between pair-bonded prairie voles. We will quantify the predictability of such interactions in ethologically-relevant social contexts using past social behavior (Aim 1) and behavior-specific dynamic functional connectivity between those key nodes in the social brain neural network (Aim 2). Our research will have a positive impact by validating a novel, quantitative framework for studying the "dark matter" of social neuroscience, grounded in the idea that there is predictability in the dynamic processes that underlie one's trajectory through a behavioral space of stereotypical social interactions. By establishing predictability as a new paradigm for rodent social neurobiology, our studies will thus advance a comprehensive framework for how to think about social deficits and how to encourage prosocial behavior.

持久的社会依恋是在与另一个人积极互动的过程中建立的。形成这种社会纽带涉及认知过程，例如感知显着的感官线索、学习他们的积极的价值观，并选择适当的亲社会行为行为。阐明此类机制复杂的自然行为是 NIMH 的战略目标。我们的提案将通过以下方式推进这一目标：在 RDoC 的社会过程、正价和认知领域贡献新知识系统。我们的长期目标是更垂直地理解分子机制如何影响每时每刻过程中的神经回路，这些过程必须发生才能建立持久的社会债券。我们的目标是利用刻板印象和可预测性原则来阐明行为以及草原田鼠 (Microtus ochrogaster) 社会联系基础的神经动力学揭示社会依恋的遗传和神经内分泌机制的系统。我们将测量长期尺度的社会行为和纹状体、皮质和杏仁核神经活动并建立导致联系的社会动态的预测模型。我们的中心假设是刻板的社会行为和相应的神经活动可以从潜在的内部状态中预测出来 “配对关系”；对这种潜在状态的动态进行建模将有助于预测未来的社会成对的草原田鼠之间的相互作用。我们将量化这种相互作用的可预测性使用过去的社会行为（目标 1）和行为特定的动态来获得与行为学相关的社会背景社交大脑神经网络中这些关键节点之间的功能连接（目标 2）。我们的研究将通过验证用于研究社会“暗物质”的新颖定量框架，产生积极影响神经科学，基于这样一种观点，即一个人的动态过程是可预测的穿过刻板社交互动的行为空间的轨迹。通过将可预测性建立为啮齿动物社会神经生物学的新范式，我们的研究将因此推进一个全面的框架如何思考社会缺陷以及如何鼓励亲社会行为。