Task-Dependent Modulation of Effective Connectivity within the Default Mode Network.
Task-Dependent Modulation of Effective Connectivity within the Default Mode Network.
复制标题
默认模式网络内有效连接的任务相关调制
DOI：
10.3389/fpsyg.2012.00206
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发表时间：
2012
影响因子：
3.8
通讯作者：
Friston K
中科院分区：
文献类型：
--
作者：
Li B;Wang X;Yao S;Hu D;Friston K
默认模式网络（DMN）近年来引起了广泛的关注。先前的研究发现，任务相关的处理可以导致该网络的失活和功能连接的变化。然而，目前尚不清楚任务如何调节DMN内潜在的有效连接。利用动态因果模型（DCM）的最新进展，我们研究了（性别判断）任务表现对DMN内定向连接的调节作用。16名健康受试者在休息和执行性别判断任务时接受了两次扫描。采用组独立分量分析识别独立空间分量。根据随后的默认模式成分定义了四个受试者特定的兴趣区域（roi）：后扣带皮层，左侧顶叶皮层，右侧顶叶皮层和内侧前额叶皮层。然后用随机DCM表征这些区域之间的有效连通性，揭示了在任务会话期间DMN区域之间的连通性增强（外在的），以及相对于休息会话的（内在的）自我抑制的普遍减少。这些结果表明认知和注意对DMN的有效连接具有分布式但系统的调节作用：这种调节作用增加了DMN对输入的敏感性，并可能优化任务执行过程中的分布式处理。
The default mode network (DMN) has recently attracted widespread interest. Previous studies have found that task-related processing can induce deactivation and changes in the functional connectivity of this network. However, it remains unclear how tasks modulate the underlying effective connectivity within the DMN. Using recent advances in dynamic causal modeling (DCM), we investigated the modulatory effect of (gender judgment) task performance on directed connectivity within the DMN. Sixteen healthy subjects were scanned twice: at rest and while performing a gender judgment task. Group independent component analysis was used to identify independent spatial components. Four subject-specific regions of interest (ROIs) were defined according to the ensuing default mode component: the posterior cingulate cortex, the left lateral parietal cortex, the right lateral parietal cortex, and the medial prefrontal cortex. Effective connectivity among these regions was then characterized with stochastic DCM, revealing enhanced (extrinsic) between region connectivity within the DMN during task sessions – and a universal decrease in (intrinsic) self-inhibition – relative to resting sessions. These results suggest a distributed but systematic modulatory effect of cognitive and attentional set on the effective connectivity subtending the DMN: an effect that increases its sensitivity to inputs and may optimize distributed processing during task performance.
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通过认知负载调制默认模式和工作内存网络的稳态功能连接。
影响因子：
4.8
作者：
Newton, Allen T.;Morgan, Victoria L.;Rogers, Baxter P.;Gore, John C.
通讯作者：
Gore, John C.
DOI：
10.1073/pnas.0308627101
发表时间：
2004-03-30
影响因子：
11.1
作者：
Greicius, MD;Srivastava, G;Menon, V
通讯作者：
Menon, V
影响因子：
2.5
作者：
Kobayashi, Yasushi;Amaral, David G.
通讯作者：
Amaral, David G.
影响因子：
5.7
作者：
Kasess, Christian Herbert;Stephan, Klaas Enno;Weissenbacher, Andreas;Pezawas, Lukas;Moser, Ewald;Windischberger, Christian
通讯作者：
Windischberger, Christian
影响因子：
4.8
作者：
Li, Yi-Ou;Adali, Tuelay;Calhoun, Vince D.
通讯作者：
Calhoun, Vince D.