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A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task
Authors
Adam R. Aron
Guido P.H. Band
+30 more
Christian Beste
Patrick G. Bissett
Adam T. Brockett
Joshua W. Brown
Samuel R. Chamberlain
Christopher D. Chambers
Hans Colonius
Lorenza S. Colzato
Brian D. Corneil
James P. Coxon
Annie Dupuis
Dawn M. Eagle
Hugh Garavan
Ian Greenhouse
Andrew Heathcote
Rene´ J. Huster
Sara Jahfari
J. Leon Kenemans
Inge Leunissen
Chiang Shan R. Li
Gordon D. Logan
Dora Matzke
Sharon Morein-Zamir
Aditya Murthy
Martin Paré
Russell A. Poldrack
K. Richard Ridderinkhof
Trevor W. Robbins
Matthew Roesch
Frederick Verbruggen
Publication date
1 April 2019
Publisher
Scholarship@Western
Abstract
© Verbruggen et al. 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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Last time updated on 20/03/2021