Löschner Peter, Steinhauser Marco
Department of Psychology, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Bavaria, Germany.
Psychophysiology. 2025 Sep;62(9):e70151. doi: 10.1111/psyp.70151.
The error positivity (Pe) is a neural correlate of performance monitoring that is observed after errors in choice tasks. The results of previous studies suggest that the Pe reflects a monitoring process that goes beyond the mere distinction between correct and incorrect responses. Here, we investigated the idea that the Pe represents a higher-order error signal reflecting an inference-based outcome evaluation. To this end, we created a multistage task whose overall outcome depended on the correctness of each individual stage and was revealed not until the last stage. This implied that the final response could lead to an unfavorable outcome even if it was objectively correct. Our results replicated the general finding that a Pe occurs immediately after errors within each stage. Crucially, we also obtained a Pe after correct responses associated with an unfavorable outcome at the final stage. Moreover, a pattern classifier trained to decode this higher-order Pe successfully decoded the Pe for incorrect responses. These results suggest that the Pe represents an evaluative process that infers the outcome by integrating multiple error signals and taking context into account.
错误阳性(Pe)是在选择任务中出现错误后观察到的与绩效监测相关的神经指标。先前研究的结果表明,Pe反映的监测过程不仅仅是区分正确与错误反应。在此,我们探讨了Pe代表反映基于推理的结果评估的高阶错误信号这一观点。为此,我们创建了一个多阶段任务,其总体结果取决于每个阶段的正确性,并且直到最后一个阶段才会显现。这意味着即使最终反应在客观上是正确的,也可能导致不利结果。我们的结果重复了一个普遍发现,即每个阶段出现错误后会立即出现Pe。至关重要的是,在与最后阶段不利结果相关的正确反应后,我们也获得了Pe。此外,经过训练以解码这种高阶Pe的模式分类器成功地解码了错误反应的Pe。这些结果表明,Pe代表了一个通过整合多个错误信号并考虑背景来推断结果的评估过程。