Langford Zachary D, Krebs Ruth M, Talsma Durk, Woldorff Marty G, Boehler C N
Department of Experimental Psychology, Ghent University, 9000, Ghent, Belgium.
Center for Cognitive Neuroscience, Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
Eur J Neurosci. 2016 Aug;44(4):2095-103. doi: 10.1111/ejn.13303. Epub 2016 Jul 29.
Efficiently avoiding inappropriate actions in a changing environment is central to cognitive control. One mechanism contributing to this ability is the deliberate slowing down of responses in contexts where full response cancellation might occasionally be required, referred to as proactive response inhibition. The present electroencephalographic (EEG) study investigated the role of attentional processes in proactive response inhibition in humans. To this end, we compared data from a standard stop-signal task, in which stop signals required response cancellation ('stop-relevant'), to data where possible stop signals were task-irrelevant ('stop-irrelevant'). Behavioral data clearly indicated the presence of proactive slowing in the standard stop-signal task. A novel single-trial analysis was used to directly model the relationship between response time and the EEG data of the go-trials in both contexts within a multilevel linear models framework. We found a relationship between response time and amplitude of the attention-related N1 component in stop-relevant blocks, a characteristic that was fully absent in stop-irrelevant blocks. Specifically, N1 amplitudes were lower the slower the response time, suggesting that attentional resources were being strategically down-regulated to control response speed. Drift diffusion modeling of the behavioral data indicated that multiple parameters differed across the two contexts, likely suggesting the contribution from independent brain mechanisms to proactive slowing. Hence, the attentional mechanism of proactive response control we report here might coexist with known mechanisms that are more directly tied to motoric response inhibition. As such, our study opens up new research avenues also concerning clinical conditions that feature deficits in proactive response inhibition.
在不断变化的环境中有效避免不适当的行为是认知控制的核心。促成这种能力的一种机制是在偶尔可能需要完全取消反应的情况下故意放慢反应速度,这被称为主动反应抑制。目前的脑电图(EEG)研究调查了注意力过程在人类主动反应抑制中的作用。为此,我们将来自标准停止信号任务的数据(其中停止信号需要取消反应,即“与停止相关”)与可能的停止信号与任务无关的数据(“与停止无关”)进行了比较。行为数据清楚地表明在标准停止信号任务中存在主动减速。一种新颖的单试验分析被用于在多级线性模型框架内直接模拟两种情况下反应时间与启动试验的EEG数据之间的关系。我们发现在与停止相关的组块中反应时间与注意力相关的N1成分的振幅之间存在关系,而在与停止无关的组块中完全没有这种特征。具体而言,反应时间越慢,N1振幅越低,这表明注意力资源正在被策略性地下调以控制反应速度。行为数据的漂移扩散模型表明,两个组块中的多个参数不同,这可能表明独立的脑机制对主动减速有贡献。因此,我们在此报告的主动反应控制的注意力机制可能与更直接与运动反应抑制相关的已知机制共存。同样,我们的研究也为主动反应抑制存在缺陷的临床状况开辟了新的研究途径。