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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.

持久的社会依恋是建立在与另一个人积极互动的过程中。