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发作间期高频(80-200Hz)颅内 EEG 的相关动力学

Peri-ictal correlation dynamics of high-frequency (80-200 Hz) intracranial EEG.

机构信息

qEEG Group, Department of Neurology, Inselspital, Bern University Hospital, University Bern, Switzerland.

出版信息

Epilepsy Res. 2010 Mar;89(1):72-81. doi: 10.1016/j.eplepsyres.2009.11.006. Epub 2009 Dec 9.

Abstract

PURPOSE

To assess (1) how large-scale correlation of intracranial EEG signals in the high-frequency range (80-200Hz) evolves from the pre-ictal, through the ictal into the postictal state and (2) whether the contribution of local neuronal activity to large-scale EEG correlation differentiates epileptogenic from non-epileptogenic brain tissue.

METHODS

Large-scale correlation of intracranial EEG was assessed by the total correlation strength (TCS), a measure derived from the eigenvalue spectra of zero-lag correlation matrices computed in a time-resolved manner by using a moving window approach. The relative change of total correlation strength (Delta(j)) resulting from leaving out EEG channel j ("leave-one-out approach") was used to quantify the contribution of local neuronal activity to large-scale EEG correlation.

RESULTS

19 seizures of 3 patients were analyzed. On average, TCS increased significantly from the pre-ictal to the ictal, and from the ictal to the postictal state. In the pre-ictal state, Delta(j) was significantly more negative when EEG channels that recorded the electrical activity of brain tissue considered to be epileptogenic were left out; the identification of the epileptogenic area, that was subsequently surgically removed in two patients, was based on visual analysis. The spatio-temporal pattern of Delta(j) dramatically changed at seizure onsets and endings, revealing qualitative similarities between the seizures of different patients.

DISCUSSION

The evolution of large-scale EEG correlation in the high-frequency range is qualitatively similar to the one previously described for the low-frequency range. Because the two patients who underwent surgery became seizure free, our findings are consistent with the hypothesis that epileptogenic brain tissue may be characterized by its relatively increased contribution to pre-ictal large-scale correlation.

摘要

目的

评估(1)颅内 EEG 信号在高频范围内(80-200Hz)的大规模相关性如何从发作前期演变到发作期,再到发作后期,以及(2)局部神经元活动对大规模 EEG 相关性的贡献是否区分致痫性和非致痫性脑组织。

方法

通过总相关强度(TCS)评估颅内 EEG 的大规模相关性,该指标是通过使用移动窗口方法以时间分辨方式计算零时滞相关矩阵的特征值谱得出的。通过“逐个通道剔除法”(leave-one-out approach)剔除 EEG 通道 j 时总相关强度的相对变化(Delta(j))用于量化局部神经元活动对大规模 EEG 相关性的贡献。

结果

分析了 3 名患者的 19 次发作。平均而言,TCS 从发作前期显著增加到发作期,再从发作期增加到发作后期。在发作前期,当剔除被认为是致痫性的脑组织记录的 EEG 通道时,Delta(j)显著更负;两名患者随后进行了手术切除的致痫区的识别是基于视觉分析。Delta(j)的时空模式在发作开始和结束时发生了剧烈变化,揭示了不同患者之间发作的定性相似性。

讨论

高频范围内的大规模 EEG 相关性的演变与之前描述的低频范围内的演变相似。由于接受手术的两名患者已不再发作,我们的发现与致痫性脑组织可能以其对发作前期大规模相关性的相对增加贡献为特征的假设一致。

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