Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour , Nijmegen , Netherlands.
Front Hum Neurosci. 2013 Jun 25;7:315. doi: 10.3389/fnhum.2013.00315. eCollection 2013.
The neuronal underpinnings of blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) resting state networks (RSNs) are still unclear. To investigate the underlying mechanisms, specifically the relation to the electrophysiological signal, we used simultaneous recordings of electroencephalography (EEG) and fMRI during eyes open resting state (RS). Earlier studies using the EEG signal as independent variable show inconclusive results, possibly due to variability in the temporal correlations between RSNs and power in the low EEG frequency bands, as recently reported (Goncalves et al., 2006, 2008; Meyer et al., 2013). In this study we use three different methods including one that uses RSN timelines as independent variable to explore the temporal relationship of RSNs and EEG frequency power in eyes open RS in detail. The results of these three distinct analysis approaches support the hypothesis that the correlation between low EEG frequency power and BOLD RSNs is instable over time, at least in eyes open RS.
血氧水平依赖（BOLD）功能磁共振成像（fMRI）静息态网络（RSN）的神经基础仍不清楚。为了研究潜在的机制，特别是与电生理信号的关系，我们在睁眼静息状态（RS）期间同时记录脑电图（EEG）和 fMRI。早期使用 EEG 信号作为自变量的研究结果不一致，这可能是由于 RSN 与低频 EEG 频段的功率之间的时间相关性存在变异性，正如最近报道的那样（Goncalves 等人，2006 年，2008 年；Meyer 等人，2013 年）。在这项研究中，我们使用了三种不同的方法，包括一种使用 RSN 时间线作为自变量的方法，以详细探讨睁眼 RS 中 RSN 和 EEG 频率功率之间的时间关系。这三种不同分析方法的结果支持以下假设，即低频 EEG 功率与 BOLD RSN 之间的相关性在时间上是不稳定的，至少在睁眼 RS 中是不稳定的。
