Making connections among social ties, neural sensitivity to social signals, and outcomes
Making connections among social ties, neural sensitivity to social signals, and outcomes
批准号:
10200497
负责人:
PEARL H CHIU
金额:
$64.71万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-20 至 2026-05-31
关键词:
AddressAlcohol consumptionAlcoholismAlcoholsAnxietyBehavioralBrainCOVID-19CharacteristicsComputer ModelsConsumptionEnrollmentEquationHumanIndividualLifeLinkLongitudinal cohortMeasuresMechanicsMediatingMediationMental DepressionMental HealthModelingMoodsNational Institute of Mental HealthNational Institute on Alcohol Abuse and AlcoholismOutcomeParticipantPersonsPlayProceduresProcessReportingRequest for ApplicationsRoleSamplingSignal TransductionSocial DistanceSocial EnvironmentSocial FunctioningSocial InteractionSocial isolationSocial outcomeSourceStatistical ModelsStructureTestingTimeTo specifyTrustVisitWorkaddictionbasebehavioral economicsbehavioral responsebiopsychosocialdesignexperienceindexinginterestneurobiological mechanismneuroimagingphysical conditioningpreferencerecruitrelating to nervous systemresponsesatisfactionsocialsocial factorssocial structuretool
中文摘要
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英文摘要
PROJECT SUMMARY
Social isolation is associated with excessive alcohol use, depression, anxiety, and other poor outcomes (e.g.,
Daeppen et al., 2013; Moos et al., 2001; Muller et al., 2017; Zuckermann et al., 2020). Substantial variability also
exists in these associations, such that individuals with limited social ties do experience positive outcomes and
socially connected individuals similarly do experience negative outcomes (Bond et al., 2007; Bryan et al., 2017;
Eddie & Kelly, 2017; Spohr et al., 2019). Despite the importance of social factors in alcohol use and related
outcomes, the mechanisms via which social connectedness or isolation yield positive and negative outcomes
remains largely unexplored, in part due to difficulties eliciting and quantifying interpersonal processes in a
parametric manner. We have previously shown that sensitivity to social signals may be parameterized in the
context of interactive behavioral economic games and provide powerful tools with which to examine sources of
variability and potential mechanisms through which social preferences are related to mental health (Chung et
al., 2015; Chiu et al., 2008; King-Casas et al., 2005, 2008; King-Casas & Chiu, 2012). Here, we use these tools
to test the possibility that sensitivity to social signals in the context of social interaction influences how social ties
yield variability in alcohol use, mood, and anxiety.
To examine associations among social connectedness, sensitivity to social signals, and outcomes, we combine
a longitudinal cohort design including time-lagged mediation analyses, functional neuroimaging, and a behavioral
economic social exchange task. We will assess these associations (i) contemporaneously in Aim 1, (ii) over time
in Aim 2, and (iii) following social restrictions related to COVID-19 in a large online sample in Aim 3. The broad
hypothesis is that sensitivity to social signals (as measured by neurocomputational indices) will both moderate
and mediate associations between social ties and alcohol use and related outcomes. The work is submitted in
response to PAR-19-373 requesting applications addressing basic mechanisms of social connectedness,
connection, and isolation, including those related to COVID-19. The application further is in line with specific
interests of NIAAA and NIMH and in “mechanistic studies of the biopsychosocial causes and effects of social
connection and isolation” and “behavioral [and] neurobiological mechanisms of social connection and isolation
leading to alcohol use, addiction, or cessation of consumption.”
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专著(0)
科研奖励(0)
会议论文
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Making connections among social ties, neural sensitivity to social signals, and outcomes
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Evaluating overlap and distinctiveness in neurocomputational loss and reward elements of the RDoC matrix
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Social influences on choices in adolescent substance use
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Neural Substrates of Reinforcement Learning and its Training in Major Depression
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财政年份:2010
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依托单位:
Neurobehavioral metrics for the assessment and treatment of depression
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批准号:8604173
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财政年份:2010
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财政年份:2010
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依托单位:
Neurobehavioral metrics for the assessment and treatment of depression
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项目类别:
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资助金额:$27.55万
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依托单位:
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依托单位:
海外基金