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中风后相干静息态振荡的行为意义。

The behavioral significance of coherent resting-state oscillations after stroke.

机构信息

Division of Neurorehabilitation, University Hospital of Geneva, Switzerland.

出版信息

Neuroimage. 2012 May 15;61(1):249-57. doi: 10.1016/j.neuroimage.2012.03.024. Epub 2012 Mar 13.

DOI:10.1016/j.neuroimage.2012.03.024
PMID:22440653
Abstract

Stroke lesions induce not only loss of local neural function, but disruptions in spatially distributed areas. However, it is unknown whether they affect the synchrony of electrical oscillations in neural networks and if changes in network coherence are associated with neurological deficits. This study assessed these questions in a population of patients with subacute, unilateral, ischemic stroke. Spontaneous cortical oscillations were reconstructed from high-resolution electroencephalograms (EEG) with adaptive spatial filters. Maps of functional connectivity (FC) between brain areas were created and correlated with patient performance in motor and cognitive scores. In comparison to age matched healthy controls, stroke patients showed a selective disruption of FC in the alpha frequency range. The spatial distribution of alpha band FC reflected the pattern of motor and cognitive deficits of the individual patient: network nodes that participate normally in the affected functions showed local decreases in FC with the rest of the brain. Interregional FC in the alpha band, but not in delta, theta, or beta frequencies, was highly correlated with motor and cognitive performance. In contrast, FC between contralesional areas and the rest of the brain was negatively associated with patient performance. Alpha oscillation synchrony at rest is a unique and specific marker of network function and linearly associated with behavioral performance. Maps of alpha synchrony computed from a single resting-state EEG recording provide a robust and convenient window into the functionality and organization of cortical networks with numerous potential applications.

摘要

中风病灶不仅导致局部神经功能丧失,还会破坏空间分布区域的功能。然而,目前尚不清楚它们是否会影响神经网络中电振荡的同步性,以及网络相干性的变化是否与神经功能缺损有关。本研究在亚急性单侧缺血性中风患者人群中评估了这些问题。使用自适应空间滤波器从高分辨率脑电图 (EEG) 重建自发皮层振荡。创建了脑区之间功能连接 (FC) 的图谱,并将其与患者在运动和认知评分方面的表现相关联。与年龄匹配的健康对照组相比,中风患者在 alpha 频带范围内表现出 FC 的选择性破坏。alpha 频带 FC 的空间分布反映了个体患者运动和认知缺陷的模式:正常参与受影响功能的网络节点与大脑其余部分的 FC 局部减少。alpha 频带中的区域间 FC ,而不是 delta、theta 或 beta 频带中的 FC ,与运动和认知表现高度相关。相比之下,对侧区域与大脑其余部分之间的 FC 与患者的表现呈负相关。静息状态下 alpha 振荡同步是网络功能的独特而特定的标志物,与行为表现呈线性相关。从单个静息状态 EEG 记录中计算得出的 alpha 同步图谱为皮层网络的功能和组织提供了一个强大而方便的窗口,具有许多潜在的应用。

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