Leibniz Research Centre for Working Environment and Human Factors Dortmund (IfADo), Germany.
Leibniz Research Centre for Working Environment and Human Factors Dortmund (IfADo), Germany.
Cortex. 2024 Nov;180:94-110. doi: 10.1016/j.cortex.2024.08.004. Epub 2024 Sep 30.
Cognitive performance largely depends on how much effort is invested during task-execution. This also means that we rarely perform as good as we could. Cognitive effort is adjusted to the expected outcome of performance, meaning that it is driven by motivation. The results from recent studies suggest that the expenditure of cognitive control is particularly prone to being affected by modulations of cognitive effort. Although recent EEG studies investigated the neural underpinnings of the interaction of effort and control, reports on how cognitive effort is reflected by oscillatory activity of the EEG are quite sparse. It is the goal of the present study to bridge this gap by performing an exploratory analysis of high-density EEG data from a switching-task using manipulations of monetary incentives. A beamformer approach is used to localize the sensor-level effects in source-space. The results indicate that the manipulation of cognitive effort was successful. The participants reported significantly higher motivation and cognitive effort in high versus low reward trials. Performance was also significantly increased. The analysis of the EEG data revealed that the increase of cognitive effort was reflected by an increased mid-frontal theta activity during the cue-target interval, suggesting an increased use of proactive control. This interpretation is supported by the result from a regression analysis performed on single-trial data, showing higher mid-frontal theta power prior to target-onset being associated with faster responses. Alpha-desynchronization throughout the trial was also more pronounced in high reward trials, signaling a bias of attention towards the processing of external stimuli. Source reconstruction suggests that these effects are located in areas related to cognitive control, and visual processing.
认知表现很大程度上取决于执行任务时投入的努力程度。这也意味着我们很少能发挥出自己的最佳水平。认知努力是根据表现的预期结果来调整的,也就是说,它是由动机驱动的。最近的研究结果表明,认知控制的消耗特别容易受到认知努力的调节的影响。尽管最近的 EEG 研究调查了努力和控制相互作用的神经基础,但关于 EEG 的振荡活动如何反映认知努力的报告却相当稀少。本研究的目的是通过使用货币奖励的操作来对切换任务的高密度 EEG 数据进行探索性分析,从而填补这一空白。采用波束形成器方法在源空间中定位传感器级别的效应。结果表明,认知努力的操纵是成功的。与低奖励试验相比,参与者报告在高奖励试验中具有更高的动机和认知努力。表现也显著提高。对 EEG 数据的分析表明,认知努力的增加反映在提示-目标间隔期间中额叶 theta 活动的增加,表明主动控制的使用增加。这一解释得到了对单个试验数据进行回归分析的结果的支持,表明在目标出现之前,中额叶 theta 功率较高与反应速度较快有关。整个试验过程中的 alpha 去同步化在高奖励试验中也更为明显,表明注意力偏向于对外界刺激的处理。源重建表明这些效应位于与认知控制和视觉处理相关的区域。