Experimental Psychology, Ghent University, Ghent, Belgium.
University of California, San Diego, San Diego, United States.
Elife. 2019 Apr 29;8:e46323. doi: 10.7554/eLife.46323.
Response inhibition is essential for navigating everyday life. Its derailment is considered integral to numerous neurological and psychiatric disorders, and more generally, to a wide range of behavioral and health problems. Response-inhibition efficiency furthermore correlates with treatment outcome in some of these conditions. The stop-signal task is an essential tool to determine how quickly response inhibition is implemented. Despite its apparent simplicity, there are many features (ranging from task design to data analysis) that vary across studies in ways that can easily compromise the validity of the obtained results. Our goal is to facilitate a more accurate use of the stop-signal task. To this end, we provide 12 easy-to-implement consensus recommendations and point out the problems that can arise when they are not followed. Furthermore, we provide user-friendly open-source resources intended to inform statistical-power considerations, facilitate the correct implementation of the task, and assist in proper data analysis.
反应抑制对于日常生活至关重要。其失控被认为是许多神经和精神疾病的重要组成部分，更广泛地说，也是广泛的行为和健康问题的重要组成部分。在某些情况下，反应抑制效率与治疗结果相关。停止信号任务是确定反应抑制实施速度的重要工具。尽管它看起来很简单，但在研究中，有许多特征（从任务设计到数据分析）存在差异，这些差异很容易影响到获得结果的有效性。我们的目标是促进更准确地使用停止信号任务。为此，我们提供了 12 条易于实施的共识建议，并指出了在未遵循这些建议时可能出现的问题。此外，我们还提供了用户友好的开源资源，旨在告知统计功效考虑因素，促进任务的正确实施，并协助进行适当的数据分析。
