Computational and electrochemical substrates of social decision-making in humans
Computational and electrochemical substrates of social decision-making in humans
批准号:
10428547
负责人:
Xiaosi Gu
金额:
$99.64万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-08-01 至 2025-05-31
关键词:
Action PotentialsAddressAffectAmerican Psychiatric AssociationAntisocial Personality DisorderAttention deficit hyperactivity disorderBehaviorBehavioralBrainCatecholaminesCognitionCollaborationsComputer ModelsConsciousConsensusCorpus striatum structureDecision MakingDetectionDiagnosticDiseaseDopamineDrug AddictionElectrodesEmotionalEmotionsEssential TremorFailureFunctional disorderGoalsHealthHumanInjuryInterpersonal RelationsInvestmentsJointsLearningMachine LearningMajor Depressive DisorderMeasurementMeasuresMental DepressionMental disordersMethodologyMethodsModelingMoodsNeuromodulatorNeurotransmittersNorepinephrineObsessive-Compulsive DisorderOperative Surgical ProceduresParkinson DiseasePathologicPatientsPerceptionPersonsPlayPositive ValenceResearch Domain CriteriaRewardsRiskRoleSafetySerotonergic SystemSerotoninSignal TransductionSiteSocial InteractionSocial PerceptionSocial ProcessesSystemTimeVentral StriatumWithdrawalWorkarmautism spectrum disorderbasecognitive functiondiagnostic criteriadopamine systemhuman modelimplantationinformation processingmental stateneurochemistryneuroregulationnovelpsychologicputamenrelating to nervous systemsocialsocial communicationsocial deficitssocial normsocial relationships
中文摘要
摘要
人脑中的多巴胺和5-羟色胺系统代表着两个关键的神经调制信号系统
影响情绪、基于价值的决策、学习和许多其他认知功能。尽管他们
重要的是,从心理学或计算的角度来看,关于他们的
精确的信息处理功能。因此,治疗这种疾病的策略很少。
折磨着这些系统。我们认为,这一差距的存在主要是因为方法上的限制。在那里的时候
有许多记录动作电位活动和局部场电位的快速方法,跟踪类似的进展
“问题的另一端”--神经化学动力学--已经远远落后了。这是不幸的,因为刚刚
考虑到儿茶酚胺、多巴胺、5-羟色胺和去甲肾上腺素,全球范围内
这些神经调节系统的功能障碍是巨大的,全世界有近4亿人
仅包括严重抑郁症和注意力缺陷多动障碍(世卫组织,2017年)。
这个项目的总体目标是研究交互作用的计算和神经调节底物。
社交过程被假设为跨诊断性RDoC结构。我们将利用两个层次的分析
(分子/电路和行为/计算)跨越两个RDoC结构(用于社交的系统
过程:对他人的感知和理解,亚结构理解心理状态,以及积极的
配价系统:奖励学习,子结构奖励预测误差),以进入理解
人类社会互动的计算和神经基础。至关重要的是,互动社交
该方案中使用的任务生成一类重要的学习信号--奖励预测误差信号--
而是在人与人之间交互的环境中表达。我们的两个层次的分析采用(1)计算
从详细的、观察到的行为估计的人类(双主体)社会交换模型和(2)独特的子模型
第二次测量人纹状体(三个独立部位:尾状核、壳核、
腹侧纹状体)在深部脑刺激(DBS)电极提供的机会窗期间
帕金森病、特发性震颤、强迫症的植入手术。
英文摘要
SUMMARY
Dopamine and serotonin systems in the human brain represent two key neuromodulatory signalling systems that
impact mood, value-based decision-making, learning, and a host of other cognitive functions. Despite their
importance, there is no consensus view from a psychological or computational perspective concerning their
exact information-processing functions. Consequently, there is a scarceness of strategies to treat disorders that
afflict these systems. We believe that this gap exists primarily because of methodological limitations. While there
are many fast methods for recording action potential activity and local field potentials, similar progress for tracking
`the other end of the problem' - neurochemical dynamics - has lagged far behind. This is unfortunate since just
considering the catecholamines dopamine, serotonin, and norepinephrine, the worldwide health burden of
dysfunction in these neuromodulatory systems is immense approaching 400 million people worldwide if one
includes just Major Depression and Attention-deficit hyperactivity disorders (WHO, 2017).
The overall goal of this project is to investigate the computational and neuromodulatory substrates of interactive
social processes hypothesized to be trans-diagnostic RDoC constructs. We will utilize two levels of analysis
(molecules/circuits and behavioral/computational) across two RDoC constructs (systems for social
processes: perception and understanding of others, subconstruct understanding mental states, and positive
valence systems: reward learning, subconstruct reward prediction error) to make inroads into understanding
the computational and neural underpinnings of social interaction in humans. Crucially, the interactive social
tasks used in this proposal generate an important class of learning signal – a reward prediction error signal –
but expressed in the context of an inter-personal interaction. Our two levels of analysis employ (1) computational
models of human (two-agent) social exchange estimated from detailed, observed behavior and (2) unique sub-
second measurements of dopamine and serotonin from human striatum (three separate sites: caudate, putamen,
ventral striatum) during the window-of-opportunity afforded by deep brain stimulating (DBS) electrode
implantation surgery for Parkinson's Disease, Essential Tremors, Obsessive Compulsive Disorder.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Neural, computational and behavioral characterization of dynamic social behavior in borderline and avoidant personality disorder
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批准号:10579939
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项目类别:
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资助金额:$58.29万
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财政年份:2021
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负责人:Xiaosi Gu
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依托单位:
Neural, computational and behavioral characterization of dynamic social behavior in borderline and avoidant personality disorder
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批准号:10400100
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项目类别:
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资助金额:$61.53万
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财政年份:2021
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负责人:Xiaosi Gu
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依托单位:
Computational and electrochemical substrates of social decision-making in humans
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批准号:10059060
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项目类别:
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资助金额:$107.75万
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财政年份:2020
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负责人:Xiaosi Gu
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依托单位:
Computational and electrochemical substrates of social decision-making in humans
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批准号:10640947
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项目类别:
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资助金额:$99.64万
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财政年份:2020
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负责人:Xiaosi Gu
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依托单位:
Computational and electrochemical substrates of social decision-making in humans
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批准号:10227238
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项目类别:
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资助金额:$99.64万
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财政年份:2020
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负责人:Xiaosi Gu
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依托单位:
Neurocomputational Mechanisms for Addiction Heterogeneity, Impulsivity and Perseverance
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批准号:9980853
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项目类别:
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资助金额:$21.19万
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财政年份:2019
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负责人:Xiaosi Gu
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依托单位:
Neurocomputational Mechanisms for Addiction Heterogeneity, Impulsivity and Perseverance
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批准号:9809076
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项目类别:
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资助金额:$25.43万
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财政年份:2019
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负责人:Xiaosi Gu
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依托单位:
Computational and Neural Modeling of Cue Reactivity in Addiction
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批准号:10197070
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项目类别:
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资助金额:$57.78万
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财政年份:2018
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负责人:Xiaosi Gu
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依托单位:
Computational and Neural Modeling of Cue Reactivity in Addiction
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批准号:9769690
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项目类别:
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资助金额:$54.96万
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财政年份:2018
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负责人:Xiaosi Gu
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依托单位:
Computational and Neural Modeling of Cue Reactivity in Addiction
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批准号:10434013
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项目类别:
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资助金额:$59.27万
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财政年份:2018
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负责人:Xiaosi Gu
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依托单位:
Computational and Neural Modeling of Cue Reactivity in Addiction
-
批准号:10400477
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项目类别:
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资助金额:$1.3万
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财政年份:2018
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负责人:Xiaosi Gu
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依托单位:
海外基金