Alcohol, Approach-Avoidance, and Neurocircuitry Interactions in PTSD
PTSD 中的酒精、回避接近和神经回路相互作用
基本信息
- 批准号:10628057
- 负责人:
- 金额:$ 65.71万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-06-01 至 2028-05-31
- 项目状态:未结题
- 来源:
- 关键词:AcuteAddressAdultAffectAlcohol abuseAlcohol consumptionAlcoholic IntoxicationAlcoholsBehavioralBehavioral MechanismsBeveragesBiologicalBrainClinicalClinical ResearchCognitive deficitsComputer ModelsCorpus striatum structureDataDecision MakingDevelopmentDiagnosisDiseaseExtinctionFrightFunctional disorderGeneral PopulationGoalsHeavy DrinkingHumanIndividualInterpersonal ViolenceInterventionIntoxicationLearningLongitudinal StudiesMediatingMethodsModelingOutcomeParticipantPatternPlacebo ControlPlacebosPost-Traumatic Stress DisordersPredictive FactorPrevalencePreventionProceduresPsychophysiologyRelapseResearchResearch PersonnelRewardsRiskRisk BehaviorsRisk FactorsRisk MarkerRoleSelf MedicationSeveritiesSymptomsTestingTimeTraumaWomanWorkalcohol comorbidityalcohol cuealcohol effectalcohol exposurealcohol misusealcohol riskalcohol use disorderapproach avoidance behaviorclinical prognosiscomorbiditycomparison groupcomputational neuroscienceexpectationfollow-uphigh riskimprovedimproved outcomeneuralneural circuitneural networkneuroimagingneurophysiologynovelpharmacologicpredictive modelingprogramsreward processingsocialsuicidal risktherapy developmentviolence exposure
项目摘要
Individuals with posttraumatic stress disorder (PTSD) have greater prevalence of alcohol use disorders (AUDs),
with this comorbidity associated with worse illness outcomes, yet there remains limited mechanistic
understanding of how PTSD confers risk for AUD. Understanding risk factors that associate with and predict the
development of AUDs in PTSD could inform interventions and prevention efforts to reduce the rate of this
comorbidity and improve outcomes of both disorders. Identifying predictors of risk requires longitudinal studies
in PTSD aimed at capturing the mechanisms leading to the emergence of AUDs. There is growing evidence
PTSD is related to biased decision-making during approach-avoidance conflict. Alcohol is also suggested to alter
approach-avoidance decision-making. AUDs and acute alcohol intoxication is associated with a bias to seek out
reward despite the possibility of threat (e.g., contributing to relapse following alcohol cue exposure and risky
behavior during intoxication respectively). Alcohol-induced changes in approach-avoidance decision-making
have not been investigated in the context of PTSD, but emerging data support our hypothesis that an interaction
between alcohol and approach-avoidance conflict in PTSD may occur and contribute to risk for alcohol misuse
and development of alcohol problems. No current data, cross-sectional or longitudinal, have tested the role of
alcohol-induced changes in approach-avoidance conflict as a mechanism of risk for AUD among individuals with
PTSD. To address this gap, we propose to leverage our group's expertise in placebo-controlled alcohol
administration procedures, longitudinal modeling, functional neuroimaging, and computational neuroscience
approaches to investigate the effects of acute alcohol on approach-avoidance decision-making and mediating
changes in multivariate neurocircuitry patterns in limbic, striatal, and salience networks. The proposed study will
test our conceptual model positing that acute alcohol alters the relative bias in computational mechanisms for
threat vs reward, thereby decreasing avoidance to threat and increasing approach to reward in adults with PTSD,
and through this mechanism increases risk for heavier alcohol use over time. Research aims are to identify
alcohol-induced changes in approach-avoidance decision-making and mediating neural networks that predict
alcohol use and symptoms of AUDs over a one-year follow-up period in adults with PTSD, compared to adults
with interpersonal violence exposure but no PTSD and healthy comparison adults. Essential to successfully
improving clinical prognosis in PTSD are research results that enable better prediction, diagnosis, and treatment
based on the individual. There is a paucity of human clinical research investigating interactions between acute
alcohol exposure and PTSD that may drive risk for development of AUDs following trauma. Data could identify
brain and behavioral mechanisms explaining how alcohol alters an important domain of PTSD contributing to
risk for alcohol misuse and development of alcohol problems. Results could pave way for development of novel
behavioral and pharmacological methods to treat PTSD and decrease risk for developing comorbid AUDs.
患有创伤后应激障碍(PTSD)的个体更容易出现酒精使用障碍(AUDs),
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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Joshua M Cisler其他文献
Joshua M Cisler的其他文献
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{{ truncateString('Joshua M Cisler', 18)}}的其他基金
Computational Biases of Learning and Decision-Making in PTSD
PTSD 中学习和决策的计算偏差
- 批准号:
10206004 - 财政年份:2019
- 资助金额:
$ 65.71万 - 项目类别:
Computational Biases of Learning and Decision-Making in PTSD
PTSD 中学习和决策的计算偏差
- 批准号:
10451045 - 财政年份:2019
- 资助金额:
$ 65.71万 - 项目类别:
Computational Biases of Learning and Decision-Making in PTSD
PTSD 中学习和决策的计算偏差
- 批准号:
10678907 - 财政年份:2019
- 资助金额:
$ 65.71万 - 项目类别:
Computational Biases of Learning and Decision-Making in PTSD
PTSD 中学习和决策的计算偏差
- 批准号:
10425365 - 财政年份:2019
- 资助金额:
$ 65.71万 - 项目类别:
Dopamine enhancement of fear extinction learning in PTSD
多巴胺增强 PTSD 患者的恐惧消退学习
- 批准号:
10451042 - 财政年份:2017
- 资助金额:
$ 65.71万 - 项目类别:
Dopamine Enhancement of fear extinction learning in PTSD
多巴胺增强 PTSD 患者的恐惧消退学习
- 批准号:
9447442 - 财政年份:2017
- 资助金额:
$ 65.71万 - 项目类别:
Dopamine Enhancement of fear extinction learning in PTSD
多巴胺增强 PTSD 患者的恐惧消退学习
- 批准号:
10041806 - 财政年份:2017
- 资助金额:
$ 65.71万 - 项目类别:
A critical test of neural models of risk among adolescent assault victims
对青少年袭击受害者风险神经模型的关键测试
- 批准号:
8868347 - 财政年份:2015
- 资助金额:
$ 65.71万 - 项目类别:
A critical test of Neural Models of Risk Among Adolescent Assault Victims
青少年袭击受害者风险神经模型的关键测试
- 批准号:
9389072 - 财政年份:2015
- 资助金额:
$ 65.71万 - 项目类别:
Neural Network Predictors of Treatment Outcome Among Adolescent Assault Victims
青少年袭击受害者治疗结果的神经网络预测因素
- 批准号:
8352499 - 财政年份:2012
- 资助金额:
$ 65.71万 - 项目类别:
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