BOLD correlates of EEG alpha phase-locking and the fMRI default mode network

被引:228
作者
Jann, K. [1 ]
Dierks, T. [1 ]
Boesch, C. [2 ,3 ]
Kottlow, M. [1 ]
Strik, W. [1 ]
Koenig, T. [1 ]
机构
[1] Univ Bern, Univ Hosp Psychiat, Dept Psychiat Neurophysiol, CH-3000 Bern 60, Switzerland
[2] Univ Bern, Dept Clin Res, AMSM, CH-3000 Bern 60, Switzerland
[3] Univ Bern, Inselspital, CH-3010 Bern, Switzerland
基金
瑞士国家科学基金会;
关键词
INDEPENDENT COMPONENT ANALYSIS; RESTING-STATE NETWORKS; EVENT-RELATED POTENTIALS; FUNCTIONAL CONNECTIVITY; HUMAN BRAIN; FREQUENCY-BANDS; CORTICOTHALAMIC FEEDBACK; MATHEMATICAL RATIONALE; ALZHEIMERS-DISEASE; TIME-SERIES;
D O I
10.1016/j.neuroimage.2009.01.001
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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. (c) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:903 / 916
页数:14
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