Computational and electrochemical substrates of social decision-making in humans
Computational and electrochemical substrates of social decision-making in humans
批准号:
10640947
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 PotentialsAffectAmerican Psychiatric AssociationAntisocial Personality DisorderAttention deficit hyperactivity disorderBehaviorBehavioralBrainCatecholaminesCognitionCollaborationsComputer ModelsConsciousConsensusCorpus striatum structureDecision MakingDeep Brain StimulationDetectionDiagnosticDiseaseDopamineDrug AddictionElectrodesEmotionalEmotionsEssential TremorFailureFunctional disorderGoalsHealthHumanInjuryInterpersonal RelationsInvestmentsJointsLearningMachine LearningMajor Depressive DisorderMeasurementMeasuresMental DepressionMental disordersMethodologyMethodsModelingMoodsNeuromodulatorNeurotransmittersNorepinephrineObsessive-Compulsive DisorderOperative Surgical ProceduresParkinson DiseasePathologicPatientsPerceptionPersonsPlayPositive ValenceResearch Domain CriteriaRewardsRiskRoleSafetySerotonergic SystemSerotoninSignal TransductionSiteSocial InteractionSocial PerceptionSocial ProcessesSystemTimeVentral StriatumWithdrawalWorkarmautism spectrum disordercognitive functiondiagnostic criteriadopamine systemhuman modelimplantationinformation processingmental stateneuralneurochemistryneuroregulationnovelpsychologicputamensocialsocial communicationsocial deficitssocial normsocial relationships
中文摘要
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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.
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DOI:
10.1038/s41398-021-01552-y
发表时间:
2021-08-20
期刊:
Translational psychiatry
影响因子:
6.8
作者:
[Shuster A, O'Brien M, Luo Y, Berner LA, Perl O, Heflin M, Kulkarni K, Chung D, Na S, Fiore VG, Gu X]
通讯作者:
Gu X
Time perception reflects individual differences in motor and non-motor symptoms of Parkinson's disease.
时间感知反映了帕金森病运动和非运动症状的个体差异。
DOI:
10.1016/j.parkreldis.2023.105800
发表时间:
2023
期刊:
Parkinsonism & related disorders
影响因子:
4.1
作者:
[DiMarco,EmilyK, Sadibolova,Renata, Jiang,Angela, Liebenow,Brittany, Jones,RachelE, Haq,IhtshamU, Siddiqui,MustafaS, Terhune,DevinB, Kishida,KennethT]
通讯作者:
Kishida,KennethT
DOI:
10.7554/elife.64983
发表时间:
2021-10-29
期刊:
eLife
影响因子:
7.7
作者:
[Na S, Chung D, Hula A, Perl O, Jung J, Heflin M, Blackmore S, Fiore VG, Dayan P, Gu X]
通讯作者:
Gu X
DOI:
10.1016/j.biopsych.2022.09.032
发表时间:
2023-04-15
期刊:
Biological psychiatry
影响因子:
10.6
作者:
[]
通讯作者:
DOI:
10.1016/j.neuron.2020.09.015
发表时间:
2020-12-09
期刊:
Neuron
影响因子:
16.2
作者:
[Bang D, Kishida KT, Lohrenz T, White JP, Laxton AW, Tatter SB, Fleming SM, Montague PR]
通讯作者:
Montague PR
共 8 条
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:
-
资助金额:$58.29万
-
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:10428547
-
项目类别:
-
资助金额:$99.64万
-
财政年份:2020
-
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:
-
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:
-
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:
-
资助金额:$57.78万
-
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:9769690
-
项目类别:
-
资助金额:$54.96万
-
财政年份:2018
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负责人:Xiaosi Gu
-
依托单位:
Computational and Neural Modeling of Cue Reactivity in Addiction
-
批准号:10434013
-
项目类别:
-
资助金额:$59.27万
-
财政年份:2018
-
负责人:Xiaosi Gu
-
依托单位:
Computational and Neural Modeling of Cue Reactivity in Addiction
-
批准号:10400477
-
项目类别:
-
资助金额:$1.3万
-
财政年份:2018
-
负责人:Xiaosi Gu
-
依托单位:
海外基金