journal article Open Access May 04, 2023

Proactively Adjusting Stopping: Response Inhibition is Faster when Stopping Occurs Frequently

Abstract
People are able to stop actions before they are executed, and proactively slow down the speed of going in line with their expectations of needing to stop. Such slowing generally increases the probability that stopping will be successful. Surprisingly though, no study has clearly demonstrated that the speed of stopping (measured as the stop-signal reaction time, SSRT) is reduced by such proactive adjustments. In addition to a number of studies showing non-significant effects, the only study that initially had observed a clear effect in this direction found that it was artifactually driven by a confounding variable (specifically, by context-independence violations, which jeopardize the validity of the SSRT estimation). Here, we tested in two well-powered and well-controlled experiments whether the SSRT is shorter when stopping is anticipated. In each experiment, we used a Stop-Signal Task, in which the stop-trial frequency was either high (50%) or low (20%). Our results robustly show that the SSRT was shorter when stop signals were more anticipated (i.e., in the high-frequent condition) while carefully controlling for context-independence violations. Hence, our study is first to demonstrate a clear proactive benefit on the speed of stopping, in line with an ability to emphasize going or stopping, by trading off the speed of both.
Topics

No keywords indexed for this article. Browse by subject →

References
38
[1]
"From reactive to proactive and selective control: developing a richer model for stopping inappropriate responses" Biological Psychiatry (2011) 10.1016/j.biopsych.2010.07.024
[2]
How to perform a meta-analysis with R: a practical tutorial

Sara Balduzzi, Gerta Rücker, Guido Schwarzer

Evidence Based Mental Health 2019 10.1136/ebmental-2019-300117
[3]
Horse-race model simulations of the stop-signal procedure

Guido P.H. Band, Maurits W. van der Molen, Gordon D. Logan

Acta Psychologica 2003 10.1016/s0001-6918(02)00079-3
[4]
"Severe violations of independence in response inhibition tasks" Science Advances (2021)
[5]
"Balancing Cognitive Demands: Control Adjustments in the Stop-Signal Paradigm" Journal of Experimental Psychology: Learning, Memory, and Cognition (2011)
[6]
"Preparation to Inhibit a Response Complements Response Inhibition during Performance of a Stop-Signal Task" The Journal of Neuroscience (2009) 10.1523/jneurosci.3645-09.2009
[7]
jsPsych: A JavaScript library for creating behavioral experiments in a Web browser

Joshua R. de Leeuw

Behavior Research Methods 2015 10.3758/s13428-014-0458-y
[8]
"Face the (trigger) failure: Trigger failures strongly drive the effect of reward on response inhibition" Cortex (2021) 10.1016/j.cortex.2021.02.025
[9]
"Proactive inhibitory control: A general biasing account" Cognitive Psychology (2016) 10.1016/j.cogpsych.2016.01.004
[10]
G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

Franz Faul, Edgar Erdfelder, Albert-Georg Lang et al.

Behavior Research Methods 2007 10.3758/bf03193146
[11]
"A review of effect sizes and their confidence intervals, Part 1: The Cohen’s d family" The Quantitative Methods for Psychology (2018) 10.20982/tqmp.14.4.p242
[12]
"Two definitions of persistence in visual perception" Perception & Psychophysics (1979) 10.3758/bf03198815
[13]
"Responding with Restraint: What Are the Neurocognitive Mechanisms?" Journal of Cognitive Neuroscience (2010) 10.1162/jocn.2009.21307
[14]
"How Preparation Changes the Need for Top–Down Control of the Basal Ganglia When Inhibiting Premature Actions" The Journal of Neuroscience (2012) 10.1523/jneurosci.0902-12.2012
[15]
Kassambara, A. (2021). rstatix: Pipe-Friendly Framework for Basic Statistical Tests. R package version 0.7.0. https://CRAN.R-project.org/package=rstatix
[16]
"Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs" Frontiers in Psychology (2013)
[17]
"A Proactive Task Set Influences How Response Inhibition Is Implemented in the Basal Ganglia" Human Brain Mapping (2016) 10.1002/hbm.23338
[18]
(1981)
[19]
"Dependence and Independence in Responding to Double Stimulation: A Comparison of Stop, Change, and Dual-Task Paradigms. Journal of Experimental Psychology: Human, Perception, and Performance" (1986)
[20]
"On the ability to inhibit thought and action: A theory of an act of control" Psychological Review (1984) 10.1037/0033-295x.91.3.295
[21]
A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigm

Dora Matzke, Jonathon Love, Andrew Heathcote

Behavior Research Methods 2017 10.3758/s13428-015-0695-8
[22]
"Strategy switches in proactive inhibitory control and their association with task-general and stopping-specific networks" Neuropsychologia (2019)
[23]
"Frontal-midline theta reflects different mechanisms associated with proactive and reactive control of inhibition" NeuroImage (2021)
[24]
R Core Team. (2014). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. URL http://www.R-project.org/
[25]
"Effects of stop-signal probability in the stop-signal paradigm: The N2/P3 complex further validated" Brain and Cognition (2004) 10.1016/j.bandc.2004.07.002
[26]
"Probability effects in the stop-signal paradigm: The insula and the significance of failed inhibition" Brain Research (2006) 10.1016/j.brainres.2006.02.091
[27]
"The effects of discrimination on the adoption of different strategies in selective stopping" Psychonomic Bulletin & Review (2021)
[28]
"Strategies and automaticity: II. Dynamic aspects of strategy adjustment" Journal of Experimental Psychology: Learning, Memory, and Cognition (1994)
[29]
"A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task" eLife (2019)
[30]
"Fictitious Inhibitory Differences: How Skewness and Slowing Distort the Estimation of Stopping Latencies" Psychological Science (2013) 10.1177/0956797612457390
[31]
"Banishing the Control Homunculi in Studies of Action Control and Behavior Change" Perspectives on Psychological Science (2014) 10.1177/1745691614526414
[32]
"Proactive Adjustments of Response Strategies in the Stop-Signal Paradigm. Journal of Experimental Psychology: Human, Perception, and Performance" (2009)
[33]
"Models of response inhibition in the stop-signal and stop-change paradigms" Neuroscience and Biobehavioral Reviews (2009) 10.1016/j.neubiorev.2008.08.014
[34]
"The role of stop-signal probability and expectation in proactive inhibition" European Journal of Neuroscience (2015) 10.1111/ejn.12879
[35]
(2013)
[36]
"Cognitive Modeling Suggests That Attentional Failures Drive Longer Stop-Signal Reaction Time Estimates in Attention Deficit/Hyperactivity Disorder" Clinical Psychological Science (2019) 10.1177/2167702619838466
[37]
"Surprise: A More Realistic Framework for Studying Action Stopping?" Trends in Cognitive Sciences (2018) 10.1016/j.tics.2018.06.005
[38]
"It’s not too late: The onset of the frontocentral P3 indexes successful response inhibition in the stop-signal paradigm" Psychophysiology (2015) 10.1111/psyp.12374
Metrics
15
Citations
38
References
Details
Published
May 04, 2023
Vol/Issue
6(1)
Pages
22
License
View
Cite This Article
Roos A. Doekemeijer, Anneleen Dewulf, Frederick Verbruggen, et al. (2023). Proactively Adjusting Stopping: Response Inhibition is Faster when Stopping Occurs Frequently. Journal of Cognition, 6(1), 22. https://doi.org/10.5334/joc.264