Cohen Jessica R, Gallen Courtney L, Jacobs Emily G, Lee Taraz G, D'Esposito Mark
Kennedy Krieger Institute, Baltimore, MD, United States of America; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States of America.
PLoS One. 2014 Sep 5;9(9):e106636. doi: 10.1371/journal.pone.0106636. eCollection 2014.
Rapid, flexible reconfiguration of connections across brain regions is thought to underlie successful cognitive control. Two intrinsic networks in particular, the cingulo-opercular (CO) and fronto-parietal (FP), are thought to underlie two operations critical for cognitive control: task-set maintenance/tonic alertness and adaptive, trial-by-trial updating. Using functional magnetic resonance imaging, we directly tested whether the functional connectivity of the CO and FP networks was related to cognitive demands and behavior. We focused on working memory because of evidence that during working memory tasks the entire brain becomes more integrated. When specifically probing the CO and FP cognitive control networks, we found that individual regions of both intrinsic networks were active during working memory and, as expected, integration across the two networks increased during task blocks that required cognitive control. Crucially, increased integration between each of the cognitive control networks and a task-related, non-cognitive control network (the hand somatosensory-motor network; SM) was related to increased accuracy. This implies that dynamic reconfiguration of the CO and FP networks so as to increase their inter-network communication underlies successful working memory.
大脑区域间连接的快速、灵活重新配置被认为是成功进行认知控制的基础。特别是两个内在网络,即扣带-脑岛(CO)和额顶叶(FP)网络,被认为是认知控制至关重要的两种操作的基础:任务集维持/持续性警觉以及适应性的逐次试验更新。我们使用功能磁共振成像,直接测试了CO和FP网络的功能连接是否与认知需求及行为相关。由于有证据表明在工作记忆任务期间整个大脑变得更加整合,所以我们将重点放在工作记忆上。当专门探究CO和FP认知控制网络时,我们发现这两个内在网络的各个区域在工作记忆期间都是活跃的,并且正如预期的那样,在需要认知控制的任务块期间,两个网络之间的整合增加。至关重要的是,每个认知控制网络与一个任务相关的非认知控制网络(手部体感运动网络;SM)之间整合的增加与准确性的提高相关。这意味着CO和FP网络的动态重新配置以增加它们的网络间通信是成功工作记忆的基础。