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.

在与另一个人的积极互动的过程中建立了持久的社会依恋。形成这样的社会纽带涉及认知过程，例如感知显着的感官提示，学习他们正值，并选择适当的亲社会行为行动。阐明这种机制复杂的自然行为是NIMH的战略目标。我们的建议将通过在社会过程，积极价和认知的RDOC领域内贡献新知识系统。我们的长期目标是使对分子机制的更垂直了解影响建立持久社会必须发生的一刻过程的神经回路债券。我们的目的是使用刻板印象和可预测性来阐明行为以及在Premier的Prairie Vole（Microtus ochrogaster）中建立社会联系的神经动力学发现社会依恋的遗传和神经内分泌机制的系统。我们将衡量长期尺度上的社会行为以及纹状体，皮质和杏仁核神经活动社会动态导致联系的预测模型。我们的中心假设是刻板印象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 “配对键”；建模这种潜在状态的动态将有助于预测未来的社会配对的草原田鼠之间的相互作用。我们将量化此类相互作用的可预测性使用过去的社会行为（AIM 1）和特定于行为的动态，与伦理学相关的社会环境社交大脑神经网络中这些关键节点之间的功能连通性（AIM 2）。我们的研究会通过验证研究社会“暗物质”的小说，定量框架来产生积极影响神经科学的基础是，在动态过程中具有可预测性的基础。通过刻板社会互动的行为空间进行轨迹。通过确定可预测性啮齿动物社会神经生物学的新范式，我们的研究将推动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。