posted on 2023-05-20, 06:55authored byVerbruggen, F, Aron, AR, Band, GPH, Beste, C, Bissett, PG, Brockett, AT, Brown, JW, Chamberlain, SR, Chambers, CD, Colonius, H, Colzato, LS, Corneil, BD, Coxon, JP, Dupuis, A, Eagle, DM, Garavan, H, Greenhouse, I, Heathcote, A, Huster, RJ, Jahfari, S, Kenemans, JL, Leunissen, I, Li, CSR, Logan, GD, Matzke, D, Morein-Zamir, S, Murthy, A, Pare, M, Poldrack, RA, Ridderinkhof, KR, Robbins, TW, Roesch, M, Rubia, K, Schachar, RJ, Schall, JD, Stock, AK, Swann, NC, Thakkar, KN, Van Der Molen, MW, Vermeylen, L, Vink, M, Wessel, JR, Whelan, R, Zandbelt, BB, Boehler, CN
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.
History
Publication title
eLife
Volume
8
Pagination
1-26
ISSN
2050-084X
Department/School
School of Psychological Sciences
Publisher
eLife Sciences Publications, Ltd.
Place of publication
United Kingdom
Rights statement
Copyright 2019 eLife Sciences Publications Ltd. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/