ADHD患者的努力相关决策。

Journal of psychiatry and brain science Pub Date : 2020-01-01 Epub Date: 2020-12-25 DOI:10.20900/jpbs.20200027
Suzanne H Mitchell, Deborah Sevigny-Resetco
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引用次数: 2

摘要

ADHD是由行为症状来定义的,这些症状并没有很好地描述ADHD的神经生物学机制。这种方法限制了我们定义ADHD病种和预测结果的能力,因为它没有系统地检查这种疾病的各个方面,如无法维持认知努力活动,正如NIMH RDoC方法所提倡的那样。现有数据表明,ADHD与奖励评估和处理的差异有关,但我们不知道ADHD是否也与更高水平的厌恶施加认知努力和/或改变的奖励-努力相互作用有关。我们正在进行的研究通过检查个人在与最小努力相关的奖励和具有更高回报但更高努力成本的奖励替代方案(“努力折扣”)之间的偏好来解决这一知识差距;从而使我们能够描述ADHD患者在努力相关决策过程中的偏见和权衡的差异。该研究利用了一个定义明确的adhd诊断样本和健康对照个体,以实现三个目标。首先,我们确定ADHD是否与更大、更努力的奖励的大幅折扣有关。其次,我们通过需要不同程度认知努力的任务来检验被诊断为ADHD的青少年和健康对照者对努力的主观感知。第三,我们探讨了努力折扣指数、理论相关特征(如毅力、痛苦耐受力)、努力相关决策的生物标志物(眼动和瞳孔大小)以及各种认知测量之间的关系。成功完成这些目标将使我们能够更好地描述ADHD与健康控制的差异,并为更多的ADHD诊断标准的计算方法奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Effort-Related Decision-Making in ADHD.

ADHD is defined by behavioral symptoms that are not well characterized in relation to ADHD's neurobiological mechanisms. This approach has limited our ability to define ADHD nosology and predict outcomes because it does not systematically examine facets of the disorder such as the inability to maintain cognitively effortful activities, as promoted in the NIMH RDoC approach. Existing data indicate ADHD is associated with differences in reward valuation and processing, but we do not know whether ADHD is also associated with higher levels of aversion to exerting cognitive effort and/or altered reward x effort interactions. Our ongoing study addresses this knowledge gap by examining individuals' preferences between rewards associated with minimal effort and reward alternatives with a higher payoff but higher effort costs ("effort discounting"); thereby permitting us to characterize differences in biases and tradeoffs during effort-related decision-making in ADHD. The study takes advantage of a well-defined sample of ADHD-diagnosed and healthy control individuals to address three aims. First, we determine whether ADHD is associated with steeper discounting of larger, more effortful rewards. Second, we examine the subjective perception of effort in youth diagnosed with ADHD and healthy controls using tasks requiring varying levels of cognitive effort. Third, we explore relationships amongst indices of effort discounting, theoretically-related traits (e.g., grit, distress tolerance), biomarkers of effort-related decision-making (eye movements and pupil size), and various cognitive measures. Successful completion of the aims will permit us to better characterize ADHD-healthy control differences and lay a foundation for more computational approaches to ADHD diagnostic criteria.

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