Peri-ictal correlation dynamics of high-frequency (80-200 Hz) intracranial EEG
Peri-ictal correlation dynamics of high-frequency (80-200 Hz) intracranial EEG
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DOI：
10.1016/j.eplepsyres.2009.11.006
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发表时间：
2010-03-01
影响因子：
2.2
通讯作者：
Rummel, Christian
中科院分区：
文献类型：
--
作者：
Schindler, Kaspar;Amor, Frederique;Rummel, Christian
目的：评估（1）颅内EEG信号在高频范围内的大尺度相关性（80-200 Hz）从发作前、通过发作进入发作后状态的变化以及（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脑组织和非致痫性脑组织。颅内EEG的大规模相关性通过总相关强度（TCS）进行评估，TCS是通过使用移动窗口方法以时间分辨方式计算的零滞后相关矩阵的特征值谱得出的测量。结果：分析了3例患者的19次癫痫发作，其中3例患者的19次癫痫发作的脑电相关性（EEG）与局部神经元活动的相关性（EEG）呈显著正相关，而与局部神经元活动的相关性（EEG）呈显著负相关。平均而言，TCS从发作前到发作，以及从发作到发作后状态显著增加。在发作前状态下，当记录被认为是致癫痫的脑组织的电活动的EEG通道被忽略时，Delta（j）显著更负;致癫痫区域的识别（随后在两名患者中手术切除）基于视觉分析。Delta（j）的时空模式在癫痫发作和结束时发生了显着变化，揭示了不同patients.Discussion的癫痫发作之间的定性相似性：在高频率范围内的大规模EEG相关性的演变定性类似于先前描述的低频范围。由于两名接受手术的患者均无癫痫发作，我们的研究结果与致痫性脑组织对发作前大规模相关性的贡献相对增加的假设一致。(C)2009 Elsevier B. V.保留所有权利。
Purpose: To assess (1) how large-scale correlation of intracranial EEG signals in the high-frequency range (80-200 Hz) 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. (C) 2009 Elsevier B.V. All rights reserved.