Helen Wills Neuroscience Institute and Department of Psychology, University of California, Berkeley, CA 94720, USA.
Proc Natl Acad Sci U S A. 2010 Jun 29;107(26):12017-22. doi: 10.1073/pnas.1002431107. Epub 2010 Jun 14.
Neuroimaging studies of cognitive control have identified two distinct networks with dissociable resting state connectivity patterns. This study, in patients with heterogeneous damage to these networks, demonstrates network independence through a double dissociation of lesion location on two different measures of network integrity: functional correlations among network nodes and within-node graph theory network properties. The degree of network damage correlates with a decrease in functional connectivity within that network while sparing the nonlesioned network. Graph theory properties of intact nodes within the damaged network show evidence of dysfunction compared with the undamaged network. The effect of anatomical damage thus extends beyond the lesioned area, but remains within the bounds of the existing network connections. Together this evidence suggests that networks defined by their role in cognitive control processes exhibit independence in resting data.
神经影像学研究认知控制已确定了两个具有不同静息状态连接模式的不同网络。这项在这些网络存在异质性损伤的患者中的研究,通过对两种不同网络完整性测量的病变位置进行双重分离,证明了网络的独立性:网络节点之间的功能相关性和节点内的图论网络属性。网络损伤的程度与该网络内的功能连接减少相关,而不会影响未受损的网络。与未受损网络相比,损伤网络中完整节点的图论性质显示出功能障碍的证据。因此,解剖损伤的影响不仅限于损伤区域,而且仍在现有网络连接的范围内。这些证据表明,通过其在认知控制过程中的作用定义的网络在静息数据中表现出独立性。