认知控制网络:具有可分离功能的整合皮质区域。
The cognitive control network: Integrated cortical regions with dissociable functions.
作者信息
Cole Michael W, Schneider Walter
机构信息
Center for the Neural Basis of Cognition, University of Pittsburgh, PA 15260, USA.
出版信息
Neuroimage. 2007 Aug 1;37(1):343-60. doi: 10.1016/j.neuroimage.2007.03.071. Epub 2007 Apr 25.
Consensus across hundreds of published studies indicates that the same cortical regions are involved in many forms of cognitive control. Using functional magnetic resonance imaging (fMRI), we found that these coactive regions form a functionally connected cognitive control network (CCN). Network status was identified by convergent methods, including: high inter-regional correlations during rest and task performance, consistently higher correlations within the CCN than the rest of cortex, co-activation in a visual search task, and mutual sensitivity to decision difficulty. Regions within the CCN include anterior cingulate cortex/pre-supplementary motor area (ACC/pSMA), dorsolateral prefrontal cortex (DLPFC), inferior frontal junction (IFJ), anterior insular cortex (AIC), dorsal pre-motor cortex (dPMC), and posterior parietal cortex (PPC). We used a novel visual line search task which included periods when the probe stimuli were occluded but subjects had to maintain and update working memory in preparation for the sudden appearance of a probe stimulus. The six CCN regions operated as a tightly coupled network during the 'non-occluded' portions of this task, with all regions responding to probe events. In contrast, the network was differentiated during occluded search. DLPFC, not ACC/pSMA, was involved in target memory maintenance when probes were absent, while both regions became active in preparation for difficult probes at the end of each occluded period. This approach illustrates one way in which a neuronal network can be identified, its high functional connectivity established, and its components dissociated in order to better understand the interactive and specialized internal mechanisms of that network.
数百项已发表研究的共识表明,许多形式的认知控制都涉及相同的皮质区域。通过功能磁共振成像(fMRI),我们发现这些共同激活的区域形成了一个功能连接的认知控制网络(CCN)。网络状态通过多种方法确定,包括:静息和任务执行期间的高区域间相关性、CCN内的相关性始终高于皮质其他区域、视觉搜索任务中的共同激活以及对决策难度的相互敏感性。CCN内的区域包括前扣带回皮质/前补充运动区(ACC/pSMA)、背外侧前额叶皮质(DLPFC)、额下回交界处(IFJ)、前岛叶皮质(AIC)、背侧运动前皮质(dPMC)和顶叶后皮质(PPC)。我们使用了一种新颖的视觉线条搜索任务,其中包括探测刺激被遮挡但受试者必须维持和更新工作记忆以准备探测刺激突然出现的时间段。在该任务的“未遮挡”部分,六个CCN区域作为一个紧密耦合的网络运行,所有区域对探测事件都有反应。相比之下,在遮挡搜索期间网络是分化的。当没有探测刺激时,DLPFC而非ACC/pSMA参与目标记忆维持,而在每个遮挡期结束时,为准备困难的探测刺激,这两个区域都会变得活跃。这种方法说明了一种识别神经元网络、建立其高功能连接性并分离其组成部分的方式,以便更好地理解该网络的交互和专门内部机制。