Integration of Electrophysiological and Behavioral Economic Models of Reward Among Heavy Drinking Emerging Adults

7.项目总结/摘要 新兴成年人（18-25岁）中的酒精滥用是一个主要的公共卫生问题， 慢性后果，如停电，机动车事故，更糟糕的职业生涯结果，疾病和死亡。 虽然许多人“成熟”的酗酒，积极的饮酒轨迹的决定因素是 未知此外，检查这些决定因素的纵向研究往往不包括生物指标， 这在神经科学和临床研究酒精滥用之间产生了固有的差距。作为一种辅助手段， 研究已经资助的纵向R 01（R 01 AA 024930 -01;多个PI MacKillop & Murphy），我们将招募 重度饮酒新兴成年人（N = 95）在8个月随访时进行了一次 脑电图（EEG）会话测量两个事件相关的潜在成分，理论上 表示奖励处理。然后，参与者将继续参与父R 01并完成 在12个月和16个月时进行随访自我报告。从EEG会话收集的数据将用于预测 4- 10岁时酒精滥用（酒精消费、酒精相关问题和酒精使用障碍）的变化 和8个月的随访（即，12个月和16个月的母研究随访）。 该项目的目的是：1）整合酒精的电生理指标（P3和RewP）， 非酒精，立即和延迟奖励到正在进行的纵向研究，以比较自我报告 已经包括的行为经济变量（即，酒精需求，延迟折扣，与物质有关 相对于无物质强化）;和2）探索事件相关 潜力，行为经济变量和酒精滥用。本研究采用了两种范式来引出 奖励加工的事件相关电位：1）古怪任务（重复的“共同”刺激呈现， 分散的“不常见”图像，用于在不常见图像期间引起反应性） 提示（P3）; 2）门任务（赌博任务，参与者在两扇门之间做出选择， 关于奖励结果的正面或负面反馈）。 在奖励期间，申请人将接受酒精滥用，电生理学， 行为经济学，神经经济学和纵向数据分析，为申请人的职业生涯做好准备， 行为经济学和电生理学专家这项研究提供了一个翻译的理解， 奖励处理是与酒精相关病理学相关的重要机制（NIAAA战略计划目标1）， 并评估奖励处理的多个指标作为酒精滥用的预测指标。这项调查可能 建立一个减少无酒精奖励反应的电生理生物标志物， 改善对酒精使用障碍的诊断和预测（NIAAA战略计划目标2）。 该项目的结果将为行为经济学理论和干预发展的未来努力提供信息。

7. Project Summary/Abstract Alcohol misuse among emerging adults (age 18-25) is a major public health concern that results in acute and chronic consequences, such as blackouts, motor vehicle accidents, poorer career outcomes, disease, and death. Although many individuals “mature out” of heavy drinking, the determinants of positive drinking trajectories are unknown. Further, longitudinal studies examining these determinants often do not include biological indicators, inherently creating a gap between neuroscientific and clinical inquiries into alcohol misuse. Thus, as an adjunct study to an already funded longitudinal R01 (R01AA024930-01; Multiple PIs MacKillop & Murphy), we will recruit heavy drinking emerging adults (N = 95) at their 8-month follow-up appointment to engage in a single electroencephalogram (EEG) session measuring two event-related potential components that theoretically represent reward processing. Participants will then continue participation in the parent R01 and will complete follow-up self-report sessions at 12- and 16-months. Data collected from the EEG session will be used to predict changes in alcohol misuse (alcohol consumption, alcohol-related problems, and alcohol use disorder) at the 4- and 8-month follow-ups (i.e., the 12 and 16-month parent study follow-ups). The aims of the proposed project are: 1) to integrate electrophysiological indices (P3 and RewP) of alcohol, nonalcohol, immediate, and delayed reward into the ongoing longitudinal study to compare with self-report behavioral economic variables already included (i.e., alcohol demand, delayed discounting, substance-related relative to substance-free reinforcement); and 2) to explore prospective relations between event-related potentials, behavioral economic variables, and alcohol misuse. The study employs two paradigms for eliciting event-related potentials of reward processing: 1) oddball task (repetitive “common” stimulus presentation with dispersed “uncommon” images, for eliciting reactivity during uncommon images) for both nonalcohol and alcohol cues (P3); and 2) a doors task (gambling task in which participants make a choice between two doors with either positive or negative feedback about reward outcome) for both immediate and delayed rewards (RewP). During the award period, the applicant will undergo advanced training in alcohol misuse, electrophysiology, behavioral economics, neuroeconomics, and longitudinal data analysis, preparing the applicant for a career as an expert in behavioral economics and electrophysiology. This study provides a translational understanding of reward processing, an important mechanism related to alcohol-related pathology (NIAAA strategic plan Goal 1), and evaluates multiple indices of reward processing as predictors of alcohol misuse. This investigation may establish an electrophysiological biomarker of diminished alcohol-free reward response with the potential to improve the diagnosis and the prediction of the trajectory of alcohol use disorder (NIAAA strategic plan Goal 2). Results from this project will inform future efforts in behavioral economic theory and intervention development.