CRCNS:Predictability as a New Paradigm for Rodent Social Neurobiology
CRCNS:Predictability as a New Paradigm for Rodent Social Neurobiology
批准号:
9564194
负责人:
Gordon Joseph Berman
金额:
$44.19万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-13 至 2022-06-30
关键词:
AddressAltruismAmericanAmygdaloid structureAnimal ExperimentationAutistic DisorderBehaviorBehavioralBiological Neural NetworksBrainClinicalCognitionComplexComputing MethodologiesCorpus striatum structureCuesDataDiseaseElectrophysiology (science)EmpathyFaceFutureGeneticGoalsHuman Subject ResearchIndividualIndividual DifferencesKnowledgeLearningLinkMeasuresMicrotusModelingMolecularNational Institute of Mental HealthNeurobiologyNeurosecretory SystemsNucleus AccumbensPair BondPositive ValencePrefrontal CortexProcessResearchResearch Domain CriteriaRewardsRodentRodent ModelSchizophreniaSensorySocial BehaviorSocial EnvironmentSocial InteractionSocial PhobiaSocial ProcessesStereotyped BehaviorStereotypingSystemTimeWithdrawalaffiliative behaviorbasebehavioral responsecognitive processcognitive systemdark matterinformation processinginsightinterestneural circuitneuromechanismnovelprairie volepredictive modelingpreferencerelating to nervous systemsocialsocial attachmentsocial engagementsocial neurosciencestereotypyward
中文摘要
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英文摘要
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.
期刊论文(0)
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科研奖励(0)
会议论文
Inferring multi-scale dynamics underlying behavior in aging C. elegans
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批准号:10638631
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项目类别:
-
资助金额:$57.0万
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财政年份:2023
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负责人:Gordon Joseph Berman
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依托单位:
CRCNS:Predictability as a New Paradigm for Rodent Social Neurobiology
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批准号:10213590
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项目类别:
-
资助金额:$44.19万
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财政年份:2017
-
负责人:Gordon Joseph Berman
-
依托单位:
海外基金