Dynamic BOLD functional connectivity in humans and its electrophysiological correlates.

Dynamic BOLD functional connectivity in humans and its electrophysiological correlates.
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DOI:
10.3389/fnhum.2012.00339
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发表时间:
2012
影响因子:
2.9
通讯作者:
Laufs H
Laufs H
中科院分区:
医学3区
文献类型:
--
作者:
Tagliazucchi E;von Wegner F;Morzelewski A;Brodbeck V;Laufs H

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神经振荡有助于许多人类感知和认知操作。因此,脑功能连接在时间上不是静态的,而是随着神经群体的同步化和去同步化而动态波动。这种动态的功能连接最近已经在血氧水平依赖(BOLD)信号的自发波动中得到证实,该信号是用功能性磁共振成像(fMRI)测量的。我们分析了BOLD连接的时间波动及其电生理相关性,通过从两个人群(15名清醒受试者和13名受试者进行警觉转换)获得的长(约50分钟)联合脑电图(EEG)和fMRI记录。我们确定了EEG频谱功率(从覆盖不同头皮区域的电极中提取)和fMRI BOLD连接之间的正相关性和负相关性,在90个皮层和皮层下区域(具有毫米空间分辨率)的网络中。特别是,α(8-12 Hz)和β(15-30 Hz)功率的增加与功能连接的减少有关,而γ(30-60 Hz)功率与特定大脑区域之间的BOLD连接呈正相关。这些模式被改变的主题进行警惕性的变化,与较慢的振荡与功能连接的增加。动态BOLD功能连接反映在网络结构的图论指数的波动,与平均路径长度相关的正面和中央阿尔法功率的变化。我们的研究结果强烈表明,BOLD功能连接的波动有神经生理学的起源。与伽马的正相关性可以被解释为促进了BOLD连接的增加,这是整合大脑区域以实现认知性能所需的。与α的负相关表明局部和远程连接的暂时功能减弱,与空闲状态相关。
Neural oscillations subserve many human perceptual and cognitive operations. Accordingly, brain functional connectivity is not static in time, but fluctuates dynamically following the synchronization and desynchronization of neural populations. This dynamic functional connectivity has recently been demonstrated in spontaneous fluctuations of the Blood Oxygen Level-Dependent (BOLD) signal, measured with functional Magnetic Resonance Imaging (fMRI). We analyzed temporal fluctuations in BOLD connectivity and their electrophysiological correlates, by means of long (≈50 min) joint electroencephalographic (EEG) and fMRI recordings obtained from two populations: 15 awake subjects and 13 subjects undergoing vigilance transitions. We identified positive and negative correlations between EEG spectral power (extracted from electrodes covering different scalp regions) and fMRI BOLD connectivity in a network of 90 cortical and subcortical regions (with millimeter spatial resolution). In particular, increased alpha (8–12 Hz) and beta (15–30 Hz) power were related to decreased functional connectivity, whereas gamma (30–60 Hz) power correlated positively with BOLD connectivity between specific brain regions. These patterns were altered for subjects undergoing vigilance changes, with slower oscillations being correlated with functional connectivity increases. Dynamic BOLD functional connectivity was reflected in the fluctuations of graph theoretical indices of network structure, with changes in frontal and central alpha power correlating with average path length. Our results strongly suggest that fluctuations of BOLD functional connectivity have a neurophysiological origin. Positive correlations with gamma can be interpreted as facilitating increased BOLD connectivity needed to integrate brain regions for cognitive performance. Negative correlations with alpha suggest a temporary functional weakening of local and long-range connectivity, associated with an idling state.
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