Functional Connectivity of Default Mode Network Components: Correlation, Anticorrelation, and Causality
Functional Connectivity of Default Mode Network Components: Correlation, Anticorrelation, and Causality
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DOI：
10.1002/hbm.20531
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发表时间：
2009-02-01
影响因子：
4.8
通讯作者：
Milham, Michael P.
中科院分区：
文献类型：
--
作者：
Uddin, Lucina Q.;Kelly, A. M. Clare;Milham, Michael P.
基于腹内侧前额叶皮质（vMPFC）和后扣带回皮质（PCC）的默认模式网络（DMN）在休息时比执行外向认知任务时表现出更高的代谢活动。最近的研究表明，DMN和参与任务表现的各种任务积极网络之间的竞争关系在大脑中以这些网络中自发波动之间的强负相关（负相关关系）的形式内在地表现出来。大多数神经影像学研究将DMN描述为一个同质网络，因此很少有人研究DMN组分对这种竞争关系的差异贡献。在这里，我们研究了DMN内的功能分化，重点是理解这个网络和其他网络之间的竞争关系。我们使用种子相关性方法对静息状态数据进行评估，以评估这两个区域及其神经元相关网络之间的功能连接差异。虽然vmPFC和PCC种子的正相关网络在很大程度上重叠，但每个种子的正相关网络显示出显着差异。在vmPFC活动负预测顶叶视觉空间和时间注意网络的活动，而在PCC活动负预测活动在前额叶为基础的运动控制电路。格兰杰因果关系分析表明，vmPFC和PCC对其任务相关网络的影响大于其他方式，这表明这两个默认模式节点可能直接调节任务积极网络中的活动。因此，组成DMN的两个主要节点在与它们相互作用的特定大脑系统方面是有区别的，这表明该网络中的异质性比通常所理解的要大。《脑地图》30：625-637，2009年。(C)2008 Wiley-Liss，Inc.
The default mode network (DMN), based in ventromedial prefrontal cortex (vMPFC) and posterior cingulate cortex (PCC), exhibits higher metabolic activity at rest than during performance of externally oriented cognitive tasks. Recent studies have suggested that competitive relationships between the DMN and various task-positive networks involved in task performance are intrinsically represented in the brain in the form of strong negative correlations (anticorrelations) between spontaneous fluctuations in these networks. Most neuroimaging Studies characterize the DMN as a homogenous network, thus few have examined the differential contributions of DMN components to such competitive relationships. Here, we examined functional differentiation within the DMN, with an emphasis on understanding competitive relationships between this and other networks. We used a seed correlation approach on resting-state data to assess differences in functional connectivity between these two regions and their anticorrelated networks. While the positively correlated networks for the vmPFC and PCC seeds largely overlapped, the anticorrelated networks for each showed striking differences. Activity in vmPFC negatively predicted activity in parietal visual spatial and temporal attention networks, whereas activity in PCC negatively predicted activity in prefrontal-based motor control circuits. Granger causality analyses suggest that vmPFC and PCC exert greater influence on their anticorrelated networks than the other way around, suggesting that these two default mode nodes may directly modulate activity in task-positive networks. Thus, the two major nodes comprising the DMN are differentiated with respect to the specific brain systems with which they interact, suggesting greater heterogeneity within this network than is commonly appreciated. Hum Brain Mapp 30:625-637, 2009. (C) 2008 Wiley-Liss, Inc.