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Reconsidering electrophysiological markers of response inhibition in light of trigger failures in the stop-signal task

Citation

Skippen, P and Fulham, WR and Michie, PT and Matzke, D and Heathcote, A and Karayanidis, F, Reconsidering electrophysiological markers of response inhibition in light of trigger failures in the stop-signal task, Psychophysiology: An International Journal, 57, (10) Article e13619. ISSN 0048-5772 (2020) [Refereed Article]

Copyright Statement

2020 Society for Psychophysiological Research

DOI: doi:10.1111/psyp.13619

Abstract

This study investigates the neural correlates underpinning response inhibition using a parametric ex-Gaussian model of stop-signal task performance, fit with hierarchical Bayesian methods, in a large healthy sample (N = 156). The parametric model accounted for both stop-signal reaction time (SSRT) and trigger failure (i.e., failures to initiate the inhibition process). The returned SSRT estimate (SSRTEXG3 ) was attenuated by ≈65 ms compared to traditional nonparametric SSRT estimates (SSRTint). The amplitude and latency of the N1 and P3 event-related potential components were derived for both stop-success and stop-failure trials and compared to behavioral estimates derived from traditional (SSRTint) and parametric (SSRTEXG3, trigger failure) models. Both the fronto-central N1 and P3 peaked earlier and were larger for stop-success than stop-failure trials. For stop-failure trials only, N1 peak latency correlated with both SSRT estimates as well as trigger failure and temporally coincided with SSRTEXG3, but not SSRTint. In contrast, P3 peak and onset latency were not associated with any behavioral estimates of inhibition for either trial type. While the N1 peaked earlier for stop-success than stop-failure trials, this effect was not found in poor task performers (i.e., high trigger failure/slow SSRT). These findings are consistent with attentional modulation of both the speed and reliability of the inhibition process, but not for poor performers. Together with the absence of any P3 onset latency effect, our findings suggest that attentional mechanisms are important in supporting speeded and reliable inhibition processes required in the stop-signal task.

Item Details

Item Type:Refereed Article
Keywords:Bayesian model, ERP, N100, P300, response inhibition, stop-signal task, trigger failure
Research Division:Psychology
Research Group:Cognitive and computational psychology
Research Field:Decision making
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in psychology
UTAS Author:Heathcote, A (Professor Andrew Heathcote)
ID Code:143002
Year Published:2020
Web of Science® Times Cited:4
Deposited By:Psychology
Deposited On:2021-02-19
Last Modified:2021-09-22
Downloads:0

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