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玩或不玩版本的爱荷华赌博任务的重测信度。

Test-retest reliability of the play-or-pass version of the Iowa Gambling Task.

机构信息

Department of Psychology and Neuroscience, Temple University, 1701 N. 13th Street, Philadelphia, PA, 19122, USA.

Bayesian Beginnings LLC, Columbus, Ohio, USA.

出版信息

Cogn Affect Behav Neurosci. 2024 Aug;24(4):740-754. doi: 10.3758/s13415-024-01197-6. Epub 2024 Jun 7.

DOI:10.3758/s13415-024-01197-6
PMID:38849641
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11636993/
Abstract

The Iowa Gambling Task (IGT) is used to assess decision-making in clinical populations. The original IGT does not disambiguate reward and punishment learning; however, an adaptation of the task, the "play-or-pass" IGT, was developed to better distinguish between reward and punishment learning. We evaluated the test-retest reliability of measures of reward and punishment learning from the play-or-pass IGT and examined associations with self-reported measures of reward/punishment sensitivity and internalizing symptoms. Participants completed the task across two sessions, and we calculated mean-level differences and rank-order stability of behavioral measures across the two sessions using traditional scoring, involving session-wide choice proportions, and computational modeling, involving estimates of different aspects of trial-level learning. Measures using both approaches were reliable; however, computational modeling provided more insights regarding between-session changes in performance, and how performance related to self-reported measures of reward/punishment sensitivity and internalizing symptoms. Our results show promise in using the play-or-pass IGT to assess decision-making; however, further work is still necessary to validate the play-or-pass IGT.

摘要

Iowa 赌博任务 (IGT) 用于评估临床人群的决策能力。原始的 IGT 不能区分奖励和惩罚学习;然而,为了更好地区分奖励和惩罚学习,对任务进行了改编,即“玩或不玩”IGT。我们评估了“玩或不玩”IGT 中奖励和惩罚学习测量的重测信度,并考察了它们与自我报告的奖励/惩罚敏感性和内化症状测量之间的关联。参与者在两个会话中完成了任务,我们使用传统的评分方法(涉及整个会话的选择比例)和计算模型(涉及对不同方面的试验级学习的估计),计算了两个会话之间行为测量的平均水平差异和等级稳定性。使用这两种方法的测量都是可靠的;然而,计算模型提供了更多关于会话间性能变化的见解,以及性能与自我报告的奖励/惩罚敏感性和内化症状测量之间的关系。我们的结果表明,使用“玩或不玩”IGT 来评估决策具有一定的前景;然而,仍需要进一步的工作来验证“玩或不玩”IGT。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b67e/11636993/3ff0a416a7d2/13415_2024_1197_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b67e/11636993/70d09792cea9/13415_2024_1197_Fig1_HTML.jpg
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本文引用的文献

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2
From Classical Methods to Generative Models: Tackling the Unreliability of Neuroscientific Measures in Mental Health Research.从经典方法到生成模型:解决心理健康研究中神经科学测量的不可靠性。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2023 Aug;8(8):822-831. doi: 10.1016/j.bpsc.2023.01.001. Epub 2023 Jan 11.
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Individual differences in computational psychiatry: A review of current challenges.
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Neurosci Biobehav Rev. 2023 May;148:105137. doi: 10.1016/j.neubiorev.2023.105137. Epub 2023 Mar 20.
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Improving the Reliability of Cognitive Task Measures: A Narrative Review.提高认知任务测量的可靠性:综述。
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Individual differences in learning during decision-making may predict specific harms associated with gambling.决策过程中学习的个体差异可能预示着与赌博相关的特定危害。
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