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A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task

A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task
A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task
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.
2050-084X
Verbruggen, Frederick
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Aron, Adam R.
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Band, Guido P.H.
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Chamberlain, Samuel R.
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Beste, Christian
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Brockett, Adam T.
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Chambers, Christopher D.
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Colonius, Hans
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Huster, Rene´ J.
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Jahfari, Sara
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Kenemans, J. Leon
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Leunissen, Inge
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Li, Chiang Shan R.
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Logan, Gordon D.
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Matzke, Dora
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Morein-Zamir, Sharon
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Murthy, Aditya
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Paré, Martin
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Poldrack, Russell A.
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Ridderinkhof, K. Richard
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Roesch, Matthew
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Rubia, Katya
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Schachar, Russell J.
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Schall, Jeffrey D.
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Stock, Ann Kathrin
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Swann, Nicole C.
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Thakkar, Katharine N.
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Van Der Molen, Maurits W.
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Vermeylen, Luc
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Vink, Matthijs
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Wessel, Jan R.
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Whelan, Robert
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Zandbelt, Bram B.
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Boehler, C. Nico
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Ghent University
Verbruggen, Frederick
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Aron, Adam R.
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Band, Guido P.H.
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Chamberlain, Samuel R.
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Beste, Christian
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Bissett, Patrick G.
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Brockett, Adam T.
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Brown, Joshua W.
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Chambers, Christopher D.
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Colonius, Hans
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Colzato, Lorenza S.
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Corneil, Brian D.
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Coxon, James P.
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Greenhouse, Ian
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Heathcote, Andrew
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Huster, Rene´ J.
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Jahfari, Sara
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Kenemans, J. Leon
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Leunissen, Inge
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Li, Chiang Shan R.
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Logan, Gordon D.
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Matzke, Dora
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Morein-Zamir, Sharon
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Murthy, Aditya
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Paré, Martin
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Poldrack, Russell A.
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Ridderinkhof, K. Richard
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Robbins, Trevor W.
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Roesch, Matthew
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Rubia, Katya
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Schachar, Russell J.
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Schall, Jeffrey D.
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Stock, Ann Kathrin
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Swann, Nicole C.
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Thakkar, Katharine N.
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Van Der Molen, Maurits W.
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Vermeylen, Luc
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Vink, Matthijs
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Wessel, Jan R.
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Whelan, Robert
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Zandbelt, Bram B.
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Boehler, C. Nico
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Verbruggen, Frederick, Aron, Adam R., Band, Guido P.H. and Chamberlain, Samuel R. , Ghent University (2019) A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task. eLife, 8, [e46323]. (doi:10.7554/eLife.46323).

Record type: Article

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.

This record has no associated files available for download.

More information

e-pub ahead of print date: 29 April 2019
Published date: 23 May 2019
Additional Information: Publisher Copyright: © Verbruggen et al.
Learn more about Institute for Life Sciences research

Identifiers

Local EPrints ID: 492439
URI: http://eprints.soton.ac.uk/id/eprint/492439
DOI: doi:10.7554/eLife.46323
ISSN: 2050-084X
PURE UUID: 96a73da6-f4c4-4d7b-b7ff-eb2c6c62fcac
ORCID for Samuel R. Chamberlain: ORCID iD orcid.org/0000-0001-7014-8121

Catalogue record

Date deposited: 26 Jul 2024 16:52
Last modified: 27 Jul 2024 02:00

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Contributors

Author: Frederick Verbruggen
Author: Adam R. Aron
Author: Guido P.H. Band
Author: Samuel R. Chamberlain ORCID iD
Author: Christian Beste
Author: Patrick G. Bissett
Author: Adam T. Brockett
Author: Joshua W. Brown
Author: Christopher D. Chambers
Author: Hans Colonius
Author: Lorenza S. Colzato
Author: Brian D. Corneil
Author: James P. Coxon
Author: Annie Dupuis
Author: Dawn M. Eagle
Author: Hugh Garavan
Author: Ian Greenhouse
Author: Andrew Heathcote
Author: Rene´ J. Huster
Author: Sara Jahfari
Author: J. Leon Kenemans
Author: Inge Leunissen
Author: Chiang Shan R. Li
Author: Gordon D. Logan
Author: Dora Matzke
Author: Sharon Morein-Zamir
Author: Aditya Murthy
Author: Martin Paré
Author: Russell A. Poldrack
Author: K. Richard Ridderinkhof
Author: Trevor W. Robbins
Author: Matthew Roesch
Author: Katya Rubia
Author: Russell J. Schachar
Author: Jeffrey D. Schall
Author: Ann Kathrin Stock
Author: Nicole C. Swann
Author: Katharine N. Thakkar
Author: Maurits W. Van Der Molen
Author: Luc Vermeylen
Author: Matthijs Vink
Author: Jan R. Wessel
Author: Robert Whelan
Author: Bram B. Zandbelt
Author: C. Nico Boehler
Corporate Author: Ghent University

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