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 & 25 others 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

Research output: Contribution to journalArticleOtherpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Article numbere46323
Number of pages26
JournaleLife
Volume8
DOIs
Publication statusPublished - 29 Apr 2019

Keywords

  • countermanding
  • human
  • human biology
  • impulse control
  • impulsivity
  • medicine
  • mouse
  • neuroscience
  • race model
  • rat
  • response inhibition
  • rhesus macaque
  • stop-signal task

Cite this

Verbruggen, F., Aron, A. R., Band, G. P., Beste, C., Bissett, P. G., Brockett, A. T., ... Boehler, C. N. (2019). A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task. eLife, 8, [e46323]. https://doi.org/10.7554/eLife.46323
Verbruggen, Frederick ; Aron, Adam R. ; Band, Guido Ph ; Beste, Christian ; Bissett, Patrick G. ; Brockett, Adam T. ; Brown, Joshua W. ; Chamberlain, Samuel R. ; Chambers, Christopher D. ; Colonius, Hans ; Colzato, Lorenza S. ; Corneil, Brian D. ; Coxon, James P ; Dupuis, Annie ; Eagle, Dawn M. ; Garavan, Hugh ; Greenhouse, Ian ; Heathcote, Andrew ; Huster, René J. ; Jahfari, Sara ; Kenemans, J. Leon ; Leunissen, Inge ; Li, Chiang Shan R. ; Logan, Gordon D. ; Matzke, Dora ; Morein-Zamir, Sharon ; Murthy, Aditya ; Paré, Martin ; Poldrack, Russell A. ; Ridderinkhof, K. Richard ; Robbins, Trevor W. ; Roesch, Matthew ; Rubia, Katya ; Schachar, Russell J. ; Schall, Jeffrey D. ; Stock, Ann Kathrin ; Swann, Nicole C. ; Thakkar, Katharine N. ; van der Molen, Maurits W. ; Vermeylen, Luc ; Vink, Matthijs ; Wessel, Jan R. ; Whelan, Robert ; Zandbelt, Bram B. ; Boehler, C. Nico. / A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task. In: eLife. 2019 ; Vol. 8.
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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 = "countermanding, human, human biology, impulse control, impulsivity, medicine, mouse, neuroscience, race model, rat, response inhibition, rhesus macaque, stop-signal task",
author = "Frederick Verbruggen and Aron, {Adam R.} and Band, {Guido Ph} and Christian Beste and Bissett, {Patrick G.} and Brockett, {Adam T.} and Brown, {Joshua W.} and Chamberlain, {Samuel R.} and Chambers, {Christopher D.} and Hans Colonius and Colzato, {Lorenza S.} and Corneil, {Brian D.} and Coxon, {James P} and Annie Dupuis and Eagle, {Dawn M.} and Hugh Garavan and Ian Greenhouse and Andrew Heathcote and Huster, {Ren{\'e} J.} and Sara Jahfari and Kenemans, {J. Leon} and Inge Leunissen and Li, {Chiang Shan R.} and Logan, {Gordon D.} and Dora Matzke and Sharon Morein-Zamir and Aditya Murthy and Martin Par{\'e} and Poldrack, {Russell A.} and Ridderinkhof, {K. Richard} and Robbins, {Trevor W.} and Matthew Roesch and Katya Rubia 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 Luc Vermeylen and Matthijs Vink and Wessel, {Jan R.} and Robert Whelan and Zandbelt, {Bram B.} and Boehler, {C. Nico}",
year = "2019",
month = "4",
day = "29",
doi = "10.7554/eLife.46323",
language = "English",
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journal = "eLife",
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Verbruggen, F, Aron, AR, Band, GP, 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, Paré, 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 2019, 'A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task', eLife, vol. 8, e46323. https://doi.org/10.7554/eLife.46323

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

In: eLife, Vol. 8, e46323, 29.04.2019.

Research output: Contribution to journalArticleOtherpeer-review

TY - JOUR

T1 - A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task

AU - Verbruggen, Frederick

AU - Aron, Adam R.

AU - Band, Guido Ph

AU - Beste, Christian

AU - Bissett, Patrick G.

AU - Brockett, Adam T.

AU - Brown, Joshua W.

AU - Chamberlain, Samuel R.

AU - Chambers, Christopher D.

AU - Colonius, Hans

AU - Colzato, Lorenza S.

AU - Corneil, Brian D.

AU - Coxon, James P

AU - Dupuis, Annie

AU - Eagle, Dawn M.

AU - Garavan, Hugh

AU - Greenhouse, Ian

AU - Heathcote, Andrew

AU - Huster, René J.

AU - Jahfari, Sara

AU - Kenemans, J. Leon

AU - Leunissen, Inge

AU - Li, Chiang Shan R.

AU - Logan, Gordon D.

AU - Matzke, Dora

AU - Morein-Zamir, Sharon

AU - Murthy, Aditya

AU - Paré, Martin

AU - Poldrack, Russell A.

AU - Ridderinkhof, K. Richard

AU - Robbins, Trevor W.

AU - Roesch, Matthew

AU - Rubia, Katya

AU - Schachar, Russell J.

AU - Schall, Jeffrey D.

AU - Stock, Ann Kathrin

AU - Swann, Nicole C.

AU - Thakkar, Katharine N.

AU - van der Molen, Maurits W.

AU - Vermeylen, Luc

AU - Vink, Matthijs

AU - Wessel, Jan R.

AU - Whelan, Robert

AU - Zandbelt, Bram B.

AU - Boehler, C. Nico

PY - 2019/4/29

Y1 - 2019/4/29

N2 - 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.

AB - 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.

KW - countermanding

KW - human

KW - human biology

KW - impulse control

KW - impulsivity

KW - medicine

KW - mouse

KW - neuroscience

KW - race model

KW - rat

KW - response inhibition

KW - rhesus macaque

KW - stop-signal task

UR - http://www.scopus.com/inward/record.url?scp=85066511156&partnerID=8YFLogxK

U2 - 10.7554/eLife.46323

DO - 10.7554/eLife.46323

M3 - Article

VL - 8

JO - eLife

JF - eLife

SN - 2050-084X

M1 - e46323

ER -