Using event-related potentials to predict treatment outcomes in cocaine use disorder

使用事件相关电位预测可卡因使用障碍的治疗结果

• 批准号: 9907745
• 负责人: Heather E Webber
• 金额: $ 6.53万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-11 至 2022-02-10
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9907745
• 关键词: Abstinence; Affect; Anhedonia; Attention; Award; Behavior; Behavior Therapy; Behavior monitoring; Biological; Biological Markers; Biometry; Characteristics; Clinical; Clinical Trials; Cocaine Users; Cognition; Cognitive; Cognitive Therapy; Collection; Complex; Coupled; Cues; Data Analyses; Development; Disease; Event; Event-Related Potentials; FDA approved; Failure; Functional Magnetic Resonance Imaging; Future; Goals; Health; Human Resources; Individual; Individual Differences; Intervention; Lead; Maintenance; Maps; Measures; Medical; Methods; Neurocognitive; Neurons; Outcome; Patients; Pharmaceutical Preparations; Population; Positron-Emission Tomography; Probability; Process; Prognostic Marker; Psychological reinforcement; Public Health; Relapse; Reporting; Research; Research Personnel; Research Project Grants; Resistance; Rewards; Risk; Scalp structure; Selection for Treatments; Societies; Stimulus; Substance Use Disorder; Testing; Training; Treatment Failure; Treatment outcome; Work; addiction; career; clinically relevant; cocaine use; cognitive neuroscience; contingency management; cost; cost effective; cue reactivity; effective intervention; high risk; imaging study; improved; individual variation; individualized medicine; neurobehavioral; neuroimaging; non-drug; novel; personalized medicine; pleasure; prognostic; programs; psychologic; relating to nervous system; response; success; treatment response; voltage

PROJECT SUMMARY/ABSTRACT Cocaine use disorder (CUD) is a complex, devastating disorder that is difficult to treat, emphasizing the need to improve treatment-individual fit. The goal of this award is to prepare Dr. Soder for a career in addiction research through both a relevant training plan and the proposed research project that aims to determine biomarkers of treatment outcomes for CUD. Dr. Soder’s long term goal is to become an independent researcher in a large academic or medical setting using neurocognitive measures to elucidate individual differences that contribute to risk, maintenance, and treatment outcomes in addictions. The current proposal builds on Dr. Soder’s prior cognitive neuroscience background by expanding her expertise in 1) research on addicted populations and clinical trials, 2) advanced data analysis and biostatistics, and 3) activities related to primary investigator responsibilities. The research program compliments this training plan by utilizing event- related potentials (ERPs) to predict CUD treatment outcomes. Measuring ERPs is a practical and economical alternative to other neuroimaging methods, as it is relatively cost-effective and can be easily implemented in a clinical setting. Additionally, it is likely that different ERP components can map onto different key processes required of specific treatments. The current project will use ERPs to assess cognitive, attentional, and reward functioning to predict treatment outcomes in contingency management (CM), a validated treatment for CUD. While CM is moderately effective, there is individual variability in achieving abstinence, suggesting that no single treatment is likely to be appropriate for all cocaine users. Measuring ERPs can help identify both individual and treatment characteristics that predict and explain treatment outcomes. CM specifically involves reinforcement of non-drug related behaviors, suggesting that alterations in pleasure from non-drug behaviors (anhedonia) and increased attention to drug cues (motivated attention) are involved in non-response to treatment. The current project aims to investigate this by 1) testing the relationship of anhedonia (assessed by ERPs) to treatment outcomes in CM for CUD, 2) testing the relationship of motivated attention (assessed by ERPs) to treatment outcomes in CM for CUD, and 3) performing exploratory analyses to determine the optimal set of ERPs to predict treatment outcomes in CM for CUD. This proposal utilizes a biomarker approach to predict and explain why some individuals respond to CM, lays the groundwork for future studies that can test the same ERP components across different substances and different treatments, and allows Dr. Soder to gain the necessary training in order to apply this approach in the future to drastically improve interventions for addictions. Ultimately, this work will lead to the development of cost-effective and accessible ways to personalize treatment for CUD and other addictions.

项目总结/摘要 可卡因使用障碍（CUD）是一种复杂的，毁灭性的疾病，难以治疗，强调需要 以改善治疗个体匹配性。这个奖项的目的是准备博士索德在成瘾的职业生涯 通过相关的培训计划和拟议的研究项目进行研究，旨在确定 CUD治疗结果的生物标志物。Soder博士的长期目标是成为一名独立的 在大型学术或医疗环境中使用神经认知测量来阐明个体的研究人员 差异有助于成瘾的风险，维持和治疗结果。现时的建议 索德博士在认知神经科学的基础上，扩展了她在以下方面的专业知识： 成瘾人群和临床试验，2）先进的数据分析和生物统计学，以及3）与 主要研究者职责。研究计划通过利用事件来补充这一培训计划- 相关电位（ERP）预测CUD治疗结果。测量ERP是一种实用且经济的方法， 替代其他神经成像方法，因为它相对具有成本效益，并且可以很容易地在 临床设置。此外，不同的企业资源规划组件可能映射到不同的关键流程 需要特殊的治疗。本研究将使用事件相关电位来评估认知、注意力和奖赏 在应急管理（CM）中预测治疗结果，这是一种有效的CUD治疗方法。 虽然CM的效果中等，但在实现禁欲方面存在个体差异，这表明没有 单一治疗可能适合所有可卡因使用者。测量ERP可以帮助识别 预测和解释治疗结果的个体和治疗特征。CM具体涉及 非药物相关行为的强化，这表明非药物行为带来的快乐改变 （快感缺乏）和对药物线索的注意力增加（动机性注意力）参与了对药物的无反应。 治疗目前的项目旨在通过1）测试快感缺乏的关系（由 2）测试动机性注意力（通过 ERPs）与CM治疗CUD结局的关系，以及3）进行探索性分析，以确定最佳的 一组ERP，用于预测CUD的CM治疗结局。该提案利用生物标志物方法， 预测和解释为什么有些人对CM有反应，为未来的研究奠定基础， 在不同的物质和不同的治疗方法中使用相同的ERP组件，并使Soder博士能够获得 进行必要的培训，以便在今后应用这一方法，大幅度改进干预措施， 上瘾最终，这项工作将导致制定具有成本效益和可获得的方法， 个性化治疗CUD和其他成瘾。