Vocat Roland, Pourtois Gilles, Vuilleumier Patrik
Laboratory for Behavioral Neurology & Imaging of Cognition, Department of Neuroscience & Clinic of Neurology, University of Geneva, Geneva, Switzerland.
Neuropsychologia. 2008 Aug;46(10):2545-55. doi: 10.1016/j.neuropsychologia.2008.04.006. Epub 2008 Jun 3.
The detection of errors is known to be associated with two successive neurophysiological components in EEG, with an early time-course following motor execution: the error-related negativity (ERN/Ne) and late positivity (Pe). The exact cognitive and physiological processes contributing to these two EEG components, as well as their functional independence, are still partly unclear. Furthermore, these components are typically obtained in conditions where errors are rare events relative to correct trials, and thus presumably implicate other cognitive and motivational processes besides error monitoring. Here, we investigated error processing using high-density scalp ERPs and advanced topographical analyses in healthy participants, during a new Go/noGo task that led to many errors within a relatively short period of time, yet without generating frustration or insufficient motivation. ERP results showed the presence of two distinct electrophysiological markers of error monitoring (ERN/Ne and Pe) during this task, even though errors were practically as frequent as correct responses. Topographic mapping analyses showed for the first time that both the ERN/Ne and Pe elicited a specific distribution of electrical activity relative to correct responses (not just a change in the amplitude of electric signals), suggesting the activation of a distinct configuration of intracranial generators during error detection. This was confirmed by additional analyses using dipole source localization, showing generators in anterior cingulate cortex contributing to the ERN/Ne, but in more posterior cingulate regions for Pe. Moreover, we found that, across all participants, the magnitude of the ERN/Ne correlated with the level of state anxiety, even in the subclinical range, whereas the Pe was correlated negatively with the total number of errors and positively with the improvement of response speed on correct trials. By contrast, no significant relation was found between error monitoring ERPs and individual measures of impulsivity. Taken together, these data suggest that these two successive EEG components associated with errors reflect different monitoring processes, with distinct neural substrates in cingulate cortex. While ERN/Ne processes in anterior cingulate might primarily mediate error detection, Pe processes in posterior cingulate might be more directly related to behavioral adjustment based on the outcome of current actions.
已知脑电图(EEG)中错误检测与两个连续的神经生理成分有关,在运动执行后的早期时间进程中出现:错误相关负波(ERN/Ne)和晚期正波(Pe)。导致这两种EEG成分的具体认知和生理过程,以及它们的功能独立性,仍部分不清楚。此外,这些成分通常是在相对于正确试验错误为罕见事件的条件下获得的,因此可能除了错误监测外还涉及其他认知和动机过程。在此,我们在一项新的Go/NoGo任务中,使用高密度头皮事件相关电位(ERP)和先进的地形分析,对健康参与者的错误处理进行了研究。该任务在相对较短的时间内导致了许多错误,但没有产生挫败感或动机不足。ERP结果显示,在此任务期间存在两种不同的错误监测电生理标记(ERN/Ne和Pe),尽管错误实际上与正确反应一样频繁。地形映射分析首次表明,ERN/Ne和Pe相对于正确反应都引发了特定的电活动分布(不仅仅是电信号幅度的变化),表明在错误检测期间颅内发生器的不同配置被激活。使用偶极子源定位的额外分析证实了这一点,显示前扣带回皮质中的发生器对ERN/Ne有贡献,但对Pe有贡献的发生器位于更靠后的扣带回区域。此外,我们发现,在所有参与者中,ERN/Ne的幅度与状态焦虑水平相关,即使在亚临床范围内,而Pe与错误总数呈负相关,与正确试验中反应速度的提高呈正相关。相比之下,未发现错误监测ERP与冲动性的个体测量之间存在显著关系。综上所述,这些数据表明,与错误相关的这两个连续的EEG成分反映了不同的监测过程,在扣带回皮质中有不同的神经基质。虽然前扣带回中的ERN/Ne过程可能主要介导错误检测,但后扣带回中的Pe过程可能更直接地与基于当前行动结果的行为调整相关。