Stock Ann-Kathrin, Popescu Florin, Neuhaus Andres H, Beste Christian
Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany;
Fraunhofer Institute for Open Communication Systems FOKUS, Berlin, Germany; and.
J Neurophysiol. 2016 Mar;115(3):1252-62. doi: 10.1152/jn.00969.2015. Epub 2015 Dec 16.
Much research has been devoted to investigating response inhibition and the neuronal processes constituting this essential cognitive faculty. However, the nexus between cognitive subprocesses, behavior, and electrophysiological processes remains associative in nature. We therefore investigated whether neurophysiological correlates of inhibition subprocesses merely correlate with behavioral performance or actually provide information expedient to the prediction of behavior on a single-subject level. Tackling this question, we used different data-driven classification approaches in a sample of n = 262 healthy young subjects who completed a standard Go/Nogo task while an EEG was recorded. On the basis of median-split response inhibition performance, subjects were classified as "accurate/slow" and "less accurate/fast." Even though these behavioral group differences were associated with significant amplitude variations in classical electrophysiological correlates of response inhibition (i.e., N2 and P3), they were not predictive for group membership on a single-subject level. Instead, amplitude differences in the Go-P2 originating in the precuneus (BA7) were shown to predict group membership on a single-subject level with up to 64% accuracy. These findings strongly suggest that the behavioral outcome of response inhibition greatly depends on the amount of cognitive resources allocated to early stages of stimulus-response activation during responding. This suggests that research should focus more on early processing steps during responding when trying to understand the origin of interindividual differences in response inhibition processes.
许多研究致力于探究反应抑制以及构成这一重要认知能力的神经过程。然而,认知子过程、行为和电生理过程之间的联系本质上仍然是关联性的。因此,我们研究了抑制子过程的神经生理相关性是仅仅与行为表现相关,还是实际上能为单个体水平上的行为预测提供有用信息。为了解决这个问题,我们在n = 262名健康年轻受试者的样本中使用了不同的数据驱动分类方法,这些受试者在记录脑电图(EEG)的同时完成了标准的Go/NoGo任务。根据反应抑制表现的中位数分割,受试者被分为“准确/缓慢”和“不太准确/快速”两组。尽管这些行为组间差异与反应抑制的经典电生理相关性(即N2和P3)中的显著振幅变化有关,但它们并不能在单个体水平上预测组内成员身份。相反,源自楔前叶(BA7)的Go-P2振幅差异被证明在单个体水平上能够预测组内成员身份,准确率高达64%。这些发现强烈表明,反应抑制的行为结果很大程度上取决于在反应过程中分配给刺激-反应激活早期阶段的认知资源量。这表明,在试图理解反应抑制过程中个体差异的起源时,研究应更多地关注反应过程中的早期处理步骤。