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

Reconsidering electrophysiological markers of response inhibition in light of trigger failures in the stop-signal task
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根据停止信号任务中的触发失败重新考虑反应抑制的电生理标志

DOI:
10.1101/658336
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发表时间:
2019
期刊:
bioRxiv
影响因子:
--
通讯作者:
F. Karayanidis
F. Karayanidis
中科院分区:
--
文献类型:
--
作者:
Patrick Skippen;R. Fulham;P. Michie;D. Matzke;A. Heathcote;F. Karayanidis

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我们调查的神经相关的基础反应抑制使用参数前高斯模型的停止信号任务的性能,适合分层贝叶斯方法,在一个大的健康样本(N=156)。参数模型解释了触发失败(即,启动抑制过程失败),并返回一个SSRT估计值(SSRTEXG 3),与传统的非参数SSRT估计值(SSRTint)相比,该估计值衰减了1.65 ms。N1和P3事件相关的潜在成分的振幅和潜伏期都是从停止成功和停止失败试验中得出的,并与传统(SSRTint)和参数(SSRTEXG 3,触发失败)模型得出的行为估计值进行比较。额中央的N1和P3达到峰值较早,并更大的停止成功比停止失败的试验。仅对于停止失败试验,N1峰潜伏期与SSRT估计值以及触发失败相关,并且在时间上与SSRTEXG 3一致,但与SSRTint不一致。相反,P3峰和发作潜伏期与任何试验类型的抑制行为估计无关。虽然总体而言,停止成功的N1峰值早于停止失败试验,但在任务执行者不佳的情况下没有发现这种效应(即,高触发故障/慢SSRT)。这些发现与注意力调节抑制过程的速度和可靠性是一致的,但不适用于表现不佳的人。再加上没有任何P3起始潜伏期的影响,我们的研究结果表明,注意机制是重要的,在支持快速和可靠的抑制过程中所需的停止信号的任务。
We investigate 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 trigger failure (i.e., failures to initiate the inhibition process) and returned an SSRT estimate (SSRTEXG3) that was attenuated by ≈65ms compared to traditional non-parametric 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 behavioural 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 behavioural estimates of inhibition for either trial type. While overall 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.
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