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

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

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Official URL: http://dx.doi.org/10.7554/elife.46323

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.

Item Type: Journal Article
Keywords: Neural basis, Race model, Thought, Brain, Mind, Act
Faculty: Faculty of Science & Technology
SWORD Depositor: Symplectic User
Depositing User: Symplectic User
Date Deposited: 27 Jun 2019 15:06
Last Modified: 27 Jun 2019 15:06
URI: http://arro.anglia.ac.uk/id/eprint/704471

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