Jung Shinyoung, Kim Joo Yeon, Jo Suhyeon, Han Suk Won
Department of Psychological Sciences, Texas Tech University, MS 2051, Lubbock, TX 79409, USA.
Department of Research Equipment Operation, Korea Basic Science Institute, Cheong-won, Ochang 28119, Republic of Korea.
Brain Sci. 2023 Aug 26;13(9):1247. doi: 10.3390/brainsci13091247.
Adaptive behavior in the environment requires a high level of cognitive control to bias limited processing resources to behaviorally significant stimuli. Such control has been associated with a set of brain regions located in the fronto-parietal cortex (multiple demand network), whose activity was found to increase as the control demand for a task increases. In contrast, another set of regions, default mode network regions, were found to be deactivated during top-down processing of task stimuli. Despite this dissociation in their activation amplitudes, it is possible that activation patterns of these regions commonly encode specific task features. In two independent neuroimaging datasets, involving a total of 40 human samples, we found that the performance of an attentional task evoked positive activity of the MDN and deactivation of the DMN. Consistent with previous studies, task features could be decoded from the fronto-parietal cognitive regions. Importantly, the regions of the DMN also encoded task features when the task set had to be rapidly reconfigured in a transient, trial-by-trial manner, along with the MDN regions. These results suggest that the two separate brain networks ultimately co-ordinate for the effective establishment of top-down cognitive control.
在环境中的适应性行为需要高水平的认知控制,以便将有限的加工资源偏向于行为上有意义的刺激。这种控制与位于额顶叶皮质(多重需求网络)的一组脑区有关,研究发现,随着任务的控制需求增加,这些脑区的活动也会增强。相比之下,另一组脑区,即默认模式网络区域,在对任务刺激进行自上而下的加工过程中会被去激活。尽管它们的激活幅度存在这种分离,但这些区域的激活模式有可能共同编码特定的任务特征。在两个独立的神经成像数据集中,总共涉及40个人类样本,我们发现一项注意力任务的表现会诱发多重需求网络的正向活动以及默认模式网络的去激活。与先前的研究一致,任务特征可以从额顶叶认知区域中解码出来。重要的是,当任务集必须以一种瞬态的、逐次试验的方式快速重新配置时,默认模式网络区域与多重需求网络区域一样,也会编码任务特征。这些结果表明,这两个独立的脑网络最终会协同工作,以有效地建立自上而下的认知控制。