Jann K, Dierks T, Boesch C, Kottlow M, Strik W, Koenig T
Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland.
Neuroimage. 2009 Apr 15;45(3):903-16. doi: 10.1016/j.neuroimage.2009.01.001.
Phase locking or synchronization of brain areas is a key concept of information processing in the brain. Synchronous oscillations have been observed and investigated extensively in EEG during the past decades. EEG oscillations occur over a wide frequency range. In EEG, a prominent type of oscillations is alpha-band activity, present typically when a subject is awake, but at rest with closed eyes. The spectral power of alpha rhythms has recently been investigated in simultaneous EEG/fMRI recordings, establishing a wide-range cortico-thalamic network. However, spectral power and synchronization are different measures and little is known about the correlations between BOLD effects and EEG synchronization. Interestingly, the fMRI BOLD signal also displays synchronous oscillations across different brain regions. These oscillations delineate so-called resting state networks (RSNs) that resemble the correlation patterns of simultaneous EEG/fMRI recordings. However, the nature of these BOLD oscillations and their relations to EEG activity is still poorly understood. One hypothesis is that the subunits constituting a specific RSN may be coordinated by different EEG rhythms. In this study we report on evidence for this hypothesis. The BOLD correlates of global EEG synchronization (GFS) in the alpha frequency band are located in brain areas involved in specific RSNs, e.g. the 'default mode network'. Furthermore, our results confirm the hypothesis that specific RSNs are organized by long-range synchronization at least in the alpha frequency band. Finally, we could localize specific areas where the GFS BOLD correlates and the associated RSN overlap. Thus, we claim that not only the spectral dynamics of EEG are important, but also their spatio-temporal organization.
大脑区域的锁相或同步是大脑信息处理的关键概念。在过去几十年中,同步振荡已在脑电图(EEG)中得到广泛观察和研究。EEG振荡发生在很宽的频率范围内。在EEG中,一种突出的振荡类型是α波段活动,通常在受试者清醒但闭眼休息时出现。最近在同步EEG/fMRI记录中对α节律的频谱功率进行了研究,建立了一个广泛的皮质-丘脑网络。然而,频谱功率和同步是不同的测量方法,关于血氧水平依赖(BOLD)效应与EEG同步之间的相关性知之甚少。有趣的是,fMRI BOLD信号在不同脑区也显示出同步振荡。这些振荡描绘了所谓的静息态网络(RSN),类似于同步EEG/fMRI记录的相关模式。然而,这些BOLD振荡的性质及其与EEG活动的关系仍知之甚少。一种假设是,构成特定RSN的亚单位可能由不同的EEG节律协调。在本研究中,我们报告了支持这一假设的证据。α频段全局EEG同步(GFS)的BOLD相关性位于参与特定RSN的脑区,例如“默认模式网络”。此外,我们的结果证实了至少在α频段特定RSN由长程同步组织的假设。最后,我们能够定位GFS BOLD相关性与相关RSN重叠的特定区域。因此,我们认为不仅EEG的频谱动态很重要,而且其时空组织也很重要。