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Dopaminergic Mechanisms Underlying Human Social Behavior: A Multimodal Approach

人类社会行为背后的多巴胺能机制：多模式方法

基本信息

批准号：
10113370
负责人：
Ming Hsu
金额：
$ 67.81万
依托单位：
UNIVERSITY OF CALIFORNIA BERKELEY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-03-05 至 2023-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10113370
关键词：
Adult Animal Model Behavior Behavior Disorders Behavioral Behavioral Model Biological Markers Brain Brain region Cognition Cognitive Computer Models Corpus striatum structure Data Decision Making Development Dopamine Dopamine D2 Receptor Economic Models Economics FDA approved Functional Magnetic Resonance Imaging Human Individual Differences Intervention Knowledge Learning Legal patent Link Literature Measures Medial Memory Mental disorders Metabolism Methods Modeling Molecular Motor Nature Neuromodulator Neurotransmitters Participant Pharmaceutical Preparations Pharmacology Placebos Play Positron-Emission Tomography Process Psychological reinforcement Psychopharmacology Race Research Personnel Rewards Role Schizophrenia Signal Transduction Social Behavior Social Class Social Environment Social Functioning Social Perception Stimulus Symptoms System Testing Therapeutic Translating Variant addiction base behavior measurement behavior observation behavioral economics behavioral pharmacology cognitive neuroscience cognitive process emotional functioning experience experimental study inhibitor/antagonist insight interdisciplinary approach multidisciplinary multimodality neural circuit neural correlate neurochemistry neuroeconomics neuroimaging neuromechanism neuropsychiatric disorder patient population relating to nervous system social social cognition social deficits social learning theories tolcapone tool

项目摘要

PROJECT SUMMARY A significant challenge for understanding social dysfunctions observed in mental illness is to link high-level theories of social behavior and cognition with the computations performed by brain circuits. Specifically, how does the brain translate social perception into social valuation, and how does such valuation influence social actions? We propose to leverage recent developments in economic theory and cognitive neuroscience to bridge this divide using a computational, model-based approach. In this proposal, we hypothesize that social behavior is underpinned by brain mechanisms that are influenced by the neurotransmitter dopamine, and that these mechanisms can be captured by computational models that integrate internal representations of social experience, and parameters relevant to dopamine tone, to inform social actions. Social valuation thus critically, and quantitatively, depends upon both internal social representations and the neurochemistry of the actor within the social environment. To assess this hypothesis, we pursue two approaches to evaluate dopamine tone: one in which we use an FDA-approved medication, tolcapone, to influence dopamine metabolism, and one in which we perform PET imaging to measure dopamine release and baseline dopamine receptor D2/D3 occupancy. We then apply a model of social valuation to subjects' behavior, and search for neural correlates of this valuation using functional MRI (fMRI). To this end, we bring together a group of experts in (1) the neuroeconomics and modeling of social and non-social decision-making, (2) cognitive neuroscience, (3) the pharmacology of frontostriatal circuits, and (4) neuroimaging. We thus seek to broaden our understanding of the computations and circuits underlying social behavior. Moreover, we believe that a model-based understanding of these behaviors and neural circuits may guide more robust predictions of the effects of pharmacological manipulations on social valuation, and provide quantitative tools to assess the effects of such manipulations in patient populations, with possible therapeutic implications.

项目总结