Global and structured waves of rs-fMRI signal identified as putative propagation of spontaneous neural activity
Global and structured waves of rs-fMRI signal identified as putative propagation of spontaneous neural activity
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DOI：
10.1016/j.neuroimage.2016.03.033
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发表时间：
2016-06-01
期刊：
影响因子：
5.7
通讯作者：
Ohtomo, Kuni
中科院分区：
文献类型：
--
作者：
Amemiya, Shiori;Takao, Hidemasa;Ohtomo, Kuni
传统的静息状态功能磁共振成像（rs-fMRI）研究集中于研究功能相关的远端区域的同步神经活动，这些区域被称为静息状态网络。另一方面，人们对大脑自发活动的时空动态知之甚少。通过检测动态敏感性对比增强灌注加权成像测量的rs-fMRI和血管时间滞后的特征，本研究确定了rs-fMRI信号的几种结构化传播作为假定的神经流。利用互相关分析计算各体素rs-fMRI和灌注成像数据与平均全脑信号的时间位移。与受试者血管时间滞后的均匀性相反，全脑rs-fMRI时间滞后估计由三个独立的部分组成。血管时差回归后，对rs-fMRI数据进行独立成分分析。假设的神经流显示信号从任务阳性区域缓慢传播到默认模式网络的主要节点，这可能代表了静息状态网络之间相互作用的一种传输模式。(C) 2016 Elsevier Inc.版权所有。
Conventional resting-state fMRI (rs-fMRI) studies have focused on investigating the synchronous neural activity in functionally relevant distant regions that are termed as resting-state networks. On the other hand, less is known about the spatiotemporal dynamics of the spontaneous activity of the brain. By examining the characteristics of both rs-fMRI and vascular time lag that was measured using dynamic susceptibility contrast-enhanced perfusion weighted imaging, the present study identifies several structured propagation of the rs-fMRI signal as putative neural streams. Temporal shift of both rs-fMRI and perfusion imaging data in each voxel compared with the averaged whole-brain signal was computed using cross-correlation analysis. In contrast to the uniformity of the vascular time lag across subjects, whole-brain rs-fMRI time lag was estimated to be composed of three independent components. After regression of vascular time lag, independent component analysis was applied to rs-fMRI data. The putative neural streams showed slow propagation of the signal from task-positive regions to main nodes of the default mode network, which may represent a mode of transmission underlying the interactions among the resting-state networks. (C) 2016 Elsevier Inc. All rights reserved.