Department of Psychology, Philipps-Universität Marburg, Marburg, Germany.
Center for Molecular and Behavioral Neuroscience, Rutgers University, New Brunswick, NJ, United States of America.
PLoS One. 2024 Oct 21;19(10):e0311319. doi: 10.1371/journal.pone.0311319. eCollection 2024.
Cognitive control refers to humans' ability to willingly align thoughts and actions with internally represented goals. Research indicates that cognitive control is not one-dimensional but rather integrates multiple sub-processes to cope with task demands successfully. In particular, the dynamic interplay between preparatory (i.e., prior to goal-relevant events) and adaptive (i.e., in response to unexpected demands) recruitment of neural resources is believed to facilitate successful behavioural performance. However, whether preparatory and adaptive processes draw from independent or shared neural resources, and how these align in the information processing stream, remains unclear. To address these issues, we recorded electroencephalographic data from 52 subjects while they performed a computerised task. Using a combination of mass-univariate and multivariate pattern analysis procedures, we found that different types of control triggered distinct sequences of brain activation patterns, and that the order and temporal extent of these patterns were dictated by the type of control used by the participants. Stimuli that fostered preparatory recruitment of control evoked a sequence of transient occipital-parietal, sustained central-parietal, and sustained fronto-central responses. In contrast, stimuli that indicated the need for quick behavioural adjustments triggered a sequence of transient occipital-parietal, fronto-central, and central parietal responses. There was also a considerable degree of overlap in the temporal evolution of these brain activation patterns, with behavioural performance being mainly related to the magnitude of the central-parietal and fronto-central responses. Our results demonstrate how different neurocognitive mechanisms, such as early attentional allocation and subsequent behavioural selection processes, are likely to contribute to cognitive control. Moreover, our findings extend prior work by showing that these mechanisms are engaged (at least partly) in parallel, rather than independently of each other.
认知控制是指人类有意愿地将思维和行为与内部表现的目标保持一致的能力。研究表明,认知控制不是一维的,而是整合了多个子过程来成功应对任务需求。特别是,预备性(即目标相关事件之前)和适应性(即对意外需求的反应)神经资源招募的动态相互作用被认为有助于成功的行为表现。然而,预备性和适应性过程是从独立的还是共享的神经资源中获取的,以及这些过程如何在信息处理流中对齐,仍然不清楚。为了解决这些问题,我们在 52 名被试执行计算机化任务时记录了他们的脑电图数据。使用大规模单变量和多变量模式分析程序的组合,我们发现不同类型的控制触发了不同的脑激活模式序列,并且这些模式的顺序和时间范围由参与者使用的控制类型决定。促进预备性控制招募的刺激引发了一系列短暂的枕顶、持续的中央顶和持续的额中央反应。相比之下,表明需要快速行为调整的刺激引发了一系列短暂的枕顶、额中央和中央顶反应。这些脑激活模式在时间演化上也有相当大的重叠,行为表现主要与中央顶和额中央反应的幅度有关。我们的结果表明,不同的神经认知机制,如早期注意力分配和随后的行为选择过程,可能有助于认知控制。此外,我们的发现通过表明这些机制(至少部分)是并行而不是相互独立地参与的,扩展了之前的工作。