eLife · 2019 · 1K citations · 19 references
Social SciencesBehavioral SciencesPsychologyBehavior AnalysisBehavioral NeurosciencePsychometricsBehavior TherapyBehavioral InhibitionImpulse-control DisordersBehavioral Inhibition AssessmentConsensusStatistical PowerStatistical Power AnalysisStatistical Power EstimationTask DesignTreatment Outcome AnalysisTreatment Outcome Prediction
Response inhibition is vital for daily functioning, its impairment underlies many neurological and psychiatric disorders and behavioral problems, and correlates with treatment outcomes; the stop‑signal task measures inhibition speed but varies in design and analysis, risking validity. The authors aim to improve the accurate use of the stop‑signal task. They provide 12 consensus recommendations and open‑source resources to guide task design, statistical power, and data analysis.
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.
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