Dynamic brain functional connectivity modulated by resting-state networks.

Dynamic brain functional connectivity modulated by resting-state networks.
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DOI:
10.1007/s00429-013-0634-3
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发表时间:
2015-01
影响因子:
3.1
通讯作者:
Biswal, Bharat B.
Biswal, Bharat B.
中科院分区:
医学3区
文献类型:
--
作者:
Di, Xin;Biswal, Bharat B.

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利用静息状态功能磁共振成像(FMRI)对大规模脑功能连接的研究促进了我们对人脑功能的理解。虽然动态功能连通性的证据正在积累,但功能连通性随时间的变化尚未得到很好的表征。在本研究中,我们旨在通过比较网络具有较高和较低内在活动时的功能连通性差异,将单一静息状态扫描过程中功能连通性的变化与静息状态网络的内在活动联系起来。显著网络、默认模式网络(DMN)和运动网络的活动与静息状态功能连接性的变化有关。伴随着突起网络活动增强的是额顶区与DMN区之间以及DMN内各区之间的功能连接。DMN活性越高,DMN内区域之间的连通性越低,而额顶网络内区域之间的连通性越强。运动网络活动越强,运动网络内各区域之间的连通性越强,而DMN区域与额顶区、DMN区域与运动区之间的连通性越小。此外,整个大脑网络的模块化程度与运动网络活动呈正相关,这表明当运动网络被内在激活时,大脑更多地被分离为子系统。综上所述,这些结果证明了静息状态连通性变化与特定网络内在活动之间的关联,这可以为大规模脑连通性和网络配置的动态变化提供洞察。
Studies of large-scale brain functional connectivity using the resting-state functional magnetic resonance imaging (fMRI) have advanced our understanding of human brain functions. Although the evidence of dynamic functional connectivity is accumulating, the variations of functional connectivity over time have not been well characterized. In the present study, we aimed to associate the variations of functional connectivity with the intrinsic activities of the resting-state networks during a single resting-state scan by comparing functional connectivity differences between when a network had higher and lower intrinsic activities. The activities of the salience network, default mode network (DMN), and motor network were associated with changes of resting-state functional connectivity. Higher activity of the salience network was accompanied by greater functional connectivity between the fronto-parietal regions and the DMN regions, and between the regions within the DMN. Higher DMN activity was associated with less connectivity between the regions within the DMN, and greater connectivity between the regions within the fronto-parietal network. Higher motor network activity was correlated with greater connectivity between the regions within the motor network, and smaller connectivity between the DMN regions and fronto-parietal regions, and between the DMN regions and the motor regions. In addition, the whole brain network modularity was positively correlated with the motor network activity, suggesting that the brain is more segregated as sub-systems when the motor network is intrinsically activated. Together, these results demonstrate the association between the resting-state connectivity variations and the intrinsic activities of specific networks, which can provide insights on the dynamic changes in large-scale brain connectivity and network configurations.
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