eLife (Apr 2019)
A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task
- Frederick Verbruggen,
- Adam R Aron,
- Guido PH Band,
- 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,
- René 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,
- Katya Rubia,
- Russell J Schachar,
- Jeffrey D Schall,
- Ann-Kathrin Stock,
- Nicole C Swann,
- Katharine N Thakkar,
- Maurits W van der Molen,
- Luc Vermeylen,
- Matthijs Vink,
- Jan R Wessel,
- Robert Whelan,
- Bram B Zandbelt,
- C Nico Boehler
Affiliations
- Frederick Verbruggen
- ORCiD
- Experimental Psychology, Ghent University, Ghent, Belgium
- Adam R Aron
- University of California, San Diego, San Diego, United States
- Guido PH Band
- Leiden University, Leiden, Netherlands
- Christian Beste
- Dresden University of Technology, Dresden, Germany
- Patrick G Bissett
- Stanford University, Stanford, United States
- Adam T Brockett
- ORCiD
- University of Maryland, College Park, United States
- Joshua W Brown
- Indiana University, Bloomington, United States
- Samuel R Chamberlain
- University of Cambridge, Cambridge, United Kingdom
- Christopher D Chambers
- Cardiff University, Cardiff, United Kingdom
- Hans Colonius
- ORCiD
- Oldenburg University, Oldenburg, Germany
- Lorenza S Colzato
- Leiden University, Leiden, Netherlands
- Brian D Corneil
- ORCiD
- University of Western Ontario, London, Canada
- James P Coxon
- ORCiD
- Monash University, Clayton, Australia
- Annie Dupuis
- University of Toronto, Toronto, Canada
- Dawn M Eagle
- University of Cambridge, Cambridge, United Kingdom
- Hugh Garavan
- University of Vermont, Burlington, United States
- Ian Greenhouse
- ORCiD
- University of Oregon, Eugene, United States
- Andrew Heathcote
- University of Tasmania, Hobart, Australia
- René J Huster
- University of Oslo, Oslo, Norway
- Sara Jahfari
- ORCiD
- Spinoza Centre Amsterdam, Amsterdam, Netherlands
- J Leon Kenemans
- Utrecht University, Utrecht, Netherlands
- Inge Leunissen
- KU Leuven, Leuven, Belgium
- Chiang-Shan R Li
- Yale University, New Haven, United States
- Gordon D Logan
- Vanderbilt University, Nashville, United States
- Dora Matzke
- University of Amsterdam, Amsterdam, Netherlands
- Sharon Morein-Zamir
- Anglia Ruskin University, Cambridge, United Kingdom
- Aditya Murthy
- Indian Institute of Science, Bangalore, India
- Martin Paré
- Queen's University, Kingston, Canada
- Russell A Poldrack
- ORCiD
- Stanford University, Stanford, United States
- K Richard Ridderinkhof
- University of Amsterdam, Amsterdam, Netherlands
- Trevor W Robbins
- University of Cambridge, Cambridge, United Kingdom
- Matthew Roesch
- ORCiD
- University of Maryland, College Park, United States
- Katya Rubia
- King's College London, London, United Kingdom
- Russell J Schachar
- University of Toronto, Toronto, Canada
- Jeffrey D Schall
- Vanderbilt University, Nashville, United States
- Ann-Kathrin Stock
- Dresden University of Technology, Dresden, Germany
- Nicole C Swann
- ORCiD
- University of Oregon, Eugene, United States
- Katharine N Thakkar
- Michigan State University, East Lansing, United States
- Maurits W van der Molen
- University of Amsterdam, Amsterdam, Netherlands
- Luc Vermeylen
- Experimental Psychology, Ghent University, Ghent, Belgium
- Matthijs Vink
- Utrecht University, Utrecht, Netherlands
- Jan R Wessel
- ORCiD
- University of Iowa, Iowa City, United States
- Robert Whelan
- Trinity College Dublin, Dublin, Ireland
- Bram B Zandbelt
- Donders Institute, Nijmegen, Netherlands
- C Nico Boehler
- ORCiD
- Experimental Psychology, Ghent University, Ghent, Belgium
- DOI
- https://doi.org/10.7554/eLife.46323
- Journal volume & issue
-
Vol. 8
Abstract
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.
Keywords
