Neurocircuitry of clinical insight predicting relapse outcomes in opioid addiction
预测阿片类药物成瘾复发结果的临床洞察神经回路
基本信息
- 批准号:10440468
- 负责人:
- 金额:$ 60.64万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-01 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:AbstinenceAccountingAcquaintancesAddictive BehaviorAddressAdherenceAmericanAnteriorAreaBehaviorBehavioralBiological MarkersBrainCessation of lifeChoice BehaviorChronicClinicalClinical ResearchCountryDataDropsDrug AddictionDrug usageEating BehaviorEnsureEpidemicFemaleFunctional Magnetic Resonance ImagingFunctional disorderFutureHealthHeroinHeroin UsersImpairmentIndividualInvestigationJudgmentLaboratoriesLeadLightLinkManicMapsMeasuresMediatingMethadoneMorbidity - disease rateMotivationNeurocognitiveNeurocognitive DeficitOpiate AddictionOpioidOutcomeParticipantPerceptionPharmaceutical PreparationsPrefrontal CortexProxyPsychopathologyPsychotic DisordersQuestionnairesRecoveryRelapseReportingResearchSchizophreniaSelf PerceptionSelf-control as a personality traitSeveritiesSeverity of illnessStandardizationStimulusSubstance Use DisorderTask PerformancesTherapeuticThinnessTimeTreatment outcomeUnited StatesVisitWorkaddictionbehavior changecingulate cortexclinical practicedrug use behaviorfollow-upgraspheroin useillicit opioidindexinginsightmagnetic resonance imaging biomarkermalemedication-assisted treatmentneural circuitneural correlateneuromechanismneuropsychiatric disordernovelopioid epidemicopioid useopioid use disorderoverdose deathpreventprognostic valueprospectivereading comprehensionrelapse predictiontheoriestreatment adherence
项目摘要
PROJECT SUMMARY
Impaired self-awareness of illness severity (insight) is associated with increased morbidity and poorer
treatment outcome across multiple neuropsychiatric diseases. Although the study of insight has traditionally
been limited to psychotic disorders (e.g., schizophrenia, mania), emerging theory and evidence suggest that
this construct may also be highly relevant to drug addiction. For example, drug-addicted individuals often
overestimate their addiction-related self-control, underestimate their neurocognitive impairments, and often do
not perceive a need for treatment despite the pervasive consequences precipitated by their drug use. For
individuals with opioid use disorder (OUD) especially, because first-line treatment often involves medication-
assisted therapy that must be taken for long and indefinite periods of time, a strong and sustained personal
engagement with treatment is required to prevent relapse (which is the norm, not the exception). In this R01
application, we undertake the first systematic investigation of insight and its underlying neural circuitry as
biomarkers and longitudinal predictors of relapse and treatment adherence in individuals with OUD. Recently-
detoxified and medication-maintained OUD participants (primary drug: heroin) and matched healthy controls
(HC) will complete a novel functional magnetic resonance imaging (fMRI) ‘insight’ task, during which they
respond to statements about the severity of their drug use and perceived need for behavior change. Specific
Aims include uncovering the behavioral and neural correlates of drug-related insight in OUD, and examining
the ability of this circuitry (A) to predict future opioid use and (B) to recover functioning over time with
abstinence. We hypothesize that lower opioid use and better treatment adherence (avoiding relapse) will be
linked with more intact baseline functioning, and more improvements in functioning from baseline to 6-month
follow-up, of the rostral anterior cingulate cortex extending into the ventromedial prefrontal cortex
(rACC/vmPFC). This rACC/vmPFC region, insofar as it mediates personal relevance in health and is disrupted
in drug addiction (and other psychopathologies), provides a plausible and a priori candidate region for studying
insight circuitry. If the anticipated relationships are observed, our results will shed light on a critical construct in
OUD – and in drug addiction, more generally – that has the potential to perpetuate drug use, but that to date
has a very lean tradition of empirical study, especially with regard to underlying brain mechanisms. A better
understanding of this circuitry can suggest novel treatment targets for increasing treatment adherence in OUD,
which in turn can be beneficial for addressing the current opioid epidemic.
项目总结
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)
专利数量(0)
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Scott J Moeller其他文献
Scott J Moeller的其他文献
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{{ truncateString('Scott J Moeller', 18)}}的其他基金
Neural, endocrine, and behavioral markers of psychosocial stress predicting drug use outcomes in human opioid addiction
心理社会压力的神经、内分泌和行为标志物预测人类阿片类药物成瘾的药物使用结果
- 批准号:
10047807 - 财政年份:2021
- 资助金额:
$ 60.64万 - 项目类别:
Neural, endocrine, and behavioral markers of psychosocial stress predicting drug use outcomes in human opioid addiction
心理社会压力的神经、内分泌和行为标志物预测人类阿片类药物成瘾的药物使用结果
- 批准号:
10551319 - 财政年份:2021
- 资助金额:
$ 60.64万 - 项目类别:
Neural, endocrine, and behavioral markers of psychosocial stress predicting drug use outcomes in human opioid addiction
心理社会压力的神经、内分泌和行为标志物预测人类阿片类药物成瘾的药物使用结果
- 批准号:
10383644 - 财政年份:2021
- 资助金额:
$ 60.64万 - 项目类别:
Cholinergic transmission abnormalities associated with smoking behavior in humans
与人类吸烟行为相关的胆碱能传递异常
- 批准号:
10153749 - 财政年份:2020
- 资助金额:
$ 60.64万 - 项目类别:
Neurocircuitry of clinical insight predicting relapse outcomes in opioid addiction
预测阿片类药物成瘾复发结果的临床洞察神经回路
- 批准号:
10242866 - 财政年份:2020
- 资助金额:
$ 60.64万 - 项目类别:
Neurocircuitry of clinical insight predicting relapse outcomes in opioid addiction
预测阿片类药物成瘾复发结果的临床洞察神经回路
- 批准号:
10655449 - 财政年份:2020
- 资助金额:
$ 60.64万 - 项目类别:
Neurocircuitry of clinical insight predicting relapse outcomes in opioid addiction
预测阿片类药物成瘾复发结果的临床洞察神经回路
- 批准号:
10028506 - 财政年份:2020
- 资助金额:
$ 60.64万 - 项目类别:
Neural and neurochemical correlates of metacognition impairment in opioid addiction
阿片类药物成瘾元认知障碍的神经和神经化学相关性
- 批准号:
9890580 - 财政年份:2020
- 资助金额:
$ 60.64万 - 项目类别:
Genetic markers associated with brain structural abnormalities and drug use in human addiction
与人类成瘾中大脑结构异常和药物使用相关的遗传标记
- 批准号:
8891832 - 财政年份:2015
- 资助金额:
$ 60.64万 - 项目类别:
Genetic markers associated with brain structural abnormalities and drug use in human addiction
与人类成瘾中大脑结构异常和药物使用相关的遗传标记
- 批准号:
9449403 - 财政年份:2015
- 资助金额:
$ 60.64万 - 项目类别:
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