BOLD correlates of EEG topography reveal rapid resting-state network dynamics
BOLD correlates of EEG topography reveal rapid resting-state network dynamics
复制标题
DOI：
10.1016/j.neuroimage.2010.02.052
复制
发表时间：
2010-10-01
期刊：
影响因子：
5.7
通讯作者：
Michel, Christoph M.
中科院分区：
文献类型：
--
作者：
Britz, Juliane;Van De Ville, Dimitri;Michel, Christoph M.
静息状态功能连接的功能磁共振成像研究表明，大脑本质上是组织成大规模的功能网络，血液动力学签名是稳定的约10秒。空间分析的地形的自发脑电图也显示离散时期的稳定的全球大脑状态（所谓的microstates），但他们保持准静止只有约100毫秒。为了测试快速波动的EEG定义的microstates和缓慢振荡的fMRI定义的静息状态之间的关系，我们记录了64通道EEG在扫描仪中，而受试者在休息，他们的眼睛闭上。传统的EEG微状态分析确定了典型的四个EEG地形，占主导地位的所有科目。这些图的时间过程与血流动力学响应函数的卷积允许将线性模型拟合到fMRI BOLD响应，并揭示了四个不同的分布式网络。这些网络与传统的fMRI组水平独立成分分析（伊卡）发现的四个静息态网络（RSN）在空间上相关。这些RSN先前已被归因于语音处理，视觉图像，注意力重新定位，和主观内感受自主处理。我们没有发现默认模式网络的EEG相关性。因此，自发EEG的四种典型微观状态似乎代表了四种RSN的神经生理学相关性，并表明它们的波动比单独的fMRI显示的要快得多。(C)2010年爱思唯尔公司All rights reserved.
Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10 s. Spatial analyses of the topography of the spontaneous EEG also show discrete epochs of stable global brain states (so-called microstates), but they remain quasi-stationary for only about 100 ms. In order to test the relationship between the rapidly fluctuating EEG-defined microstates and the slowly oscillating fMRI-defined resting states, we recorded 64-channel EEG in the scanner while subjects were at rest with their eyes closed. Conventional EEG-microstate analysis determined the typical four EEG topographies that dominated across all subjects. The convolution of the time course of these maps with the hemodynamic response function allowed to fit a linear model to the fMRI BOLD responses and revealed four distinct distributed networks. These networks were spatially correlated with four of the resting-state networks (RSNs) that were found by the conventional fMRI group-level independent component analysis (ICA). These RSNs have previously been attributed to phonological processing, visual imagery, attention reorientation, and subjective interoceptive-autonomic processing. We found no EEG-correlate of the default mode network. Thus, the four typical microstates of the spontaneous EEG seem to represent the neurophysiological correlate of four of the RSNs and show that they are fluctuating much more rapidly than fMRI alone suggests. (C) 2010 Elsevier Inc. All rights reserved.