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静息状态下自发脑活动波动中注意力和认知默认模式的脑电图特征。

Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest.

作者信息

Laufs H, Krakow K, Sterzer P, Eger E, Beyerle A, Salek-Haddadi A, Kleinschmidt A

机构信息

Cognitive Neurology Unit, Department of Neurology, J. W. Goethe University, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany.

出版信息

Proc Natl Acad Sci U S A. 2003 Sep 16;100(19):11053-8. doi: 10.1073/pnas.1831638100. Epub 2003 Sep 4.

Abstract

We assessed the relation between hemodynamic and electrical indices of brain function by performing simultaneous functional MRI (fMRI) and electroencephalography (EEG) in awake subjects at rest with eyes closed. Spontaneous power fluctuations of electrical rhythms were determined for multiple discrete frequency bands, and associated fMRI signal modulations were mapped on a voxel-by-voxel basis. There was little positive correlation of localized brain activity with alpha power (8-12 Hz), but strong and widespread negative correlation in lateral frontal and parietal cortices that are known to support attentional processes. Power in a 17-23 Hz range of beta activity was positively correlated with activity in retrosplenial, temporo-parietal, and dorsomedial prefrontal cortices. This set of areas has previously been characterized by high but coupled metabolism and blood flow at rest that decrease whenever subjects engage in explicit perception or action. The distributed patterns of fMRI activity that were correlated with power in different EEG bands overlapped strongly with those of functional connectivity, i.e., intrinsic covariations of regional activity at rest. This result indicates that, during resting wakefulness, and hence the absence of a task, these areas constitute separable and dynamic functional networks, and that activity in these networks is associated with distinct EEG signatures. Taken together with studies that have explicitly characterized the response properties of these distributed cortical systems, our findings may suggest that alpha oscillations signal a neural baseline with "inattention" whereas beta rhythms index spontaneous cognitive operations during conscious rest.

摘要

我们通过在闭眼静息的清醒受试者中同时进行功能磁共振成像(fMRI)和脑电图(EEG),评估了脑功能的血流动力学和电指标之间的关系。针对多个离散频段确定了电节律的自发功率波动,并逐体素绘制了相关的fMRI信号调制图。局部脑活动与α波功率(8 - 12Hz)几乎没有正相关,但在已知支持注意力过程的外侧额叶和顶叶皮质存在强烈且广泛的负相关。β活动在17 - 23Hz范围内的功率与压后皮质、颞顶叶和背内侧前额叶皮质的活动呈正相关。这组区域先前的特征是静息时代谢和血流较高但相互耦合,每当受试者进行明确的感知或行动时就会降低。与不同EEG频段功率相关的fMRI活动分布模式与功能连接性的模式强烈重叠,即静息时区域活动的内在协变。这一结果表明,在静息觉醒期间,即在没有任务的情况下,这些区域构成了可分离的动态功能网络,并且这些网络中的活动与不同的EEG特征相关。结合已明确表征这些分布式皮质系统反应特性的研究,我们的发现可能表明,α振荡标志着一种“注意力不集中”的神经基线,而β节律则指示有意识休息期间的自发认知操作。

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