Decoding of electroencephalogram brain representations is a powerful data driven technique to assess the stream of cognitive information processing. It could promote a more thorough understanding of cognitive control networks. For many years, the continuous performance task has been utilized to investigate impaired proactive and reactive cognitive functions. So far, mainly task performance and univariate electroencephalogram were involved in such investigations. In this study, we benefit from multi-variate pattern analysis of continuous performance task variations to provide a more complete spatio-temporal outline of information processing flow involved in sustained and transient attention and response preparation. Besides effects that are well in line with previous EEG research but could be described in more spatial and temporal detail by the used methods, our results could suggest the presence of a higher order feedback control system when expectations are violated. Such a feedback control is related to modulations of behavior both intra- and inter-individually.

脑电图大脑表征的解码是一种强大的数据驱动技术，用于评估认知信息处理流。它可以促进对认知控制网络的更透彻的理解。多年来，连续绩效任务已被用于调查受损的主动和反应性认知功能。迄今为止，此类调查主要涉及任务表现和单变量脑电图。在这项研究中，我们受益于连续表现任务变化的多变量模式分析，以提供更完整的信息处理流程的时空轮廓，其中涉及持续和瞬时注意和响应准备。除了与之前的 EEG 研究非常一致但可以通过所使用的方法在更多空间和时间细节上描述的效果之外，我们的结果可能表明当违反预期时存在更高阶的反馈控制系统。这种反馈控制与个体内部和个体间的行为调制有关。