A method to identify reproducible subsets of co-activated structures during interictal spikes. Application to intracerebral EEG in temporal lobe epilepsy
A method to identify reproducible subsets of co-activated structures during interictal spikes. Application to intracerebral EEG in temporal lobe epilepsy
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DOI：
10.1016/j.clinph.2004.08.010
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发表时间：
2005-02-01
影响因子：
4.7
通讯作者：
Wendling, F
中科院分区：
文献类型：
--
作者：
Bourien, J;Bartolomei, F;Wendling, F
目的：我们提出了一种新的定量方法来统计分析立体脑电图（SEEG）记录中多通道脑内发作间期尖峰（multi-IIS）的分布。该方法自动提取共同且频繁参与发作间期活动产生的大脑结构组。这些基团被称为“共激活结构的子集”(SCAS)。我们将该方法应用于内侧颞叶癫痫 (MTLE) 患者的长时间发作间期记录，并分析了每位患者和患者之间参与生成多 IIS 的结构子集的再现性。方法：15 名患者使用深度电极接受了长期脑内 EEG 记录（SEEG 技术）。为每位患者选择1小时的连续发作间期脑电图记录，并注意麻醉前SEEG后的时间、癫痫发作的时间距离、患者的警惕状态和抗癫痫药物停药。使用开发的方法对每个记录进行了 SCAS 研究，该方法包括 3 个步骤：（i）自动检测单通道脑内发作间期尖峰（mono-IIS），（ii）使用时间滑动窗口形成多 IIS，以及（iii）提取 SCAS。第三步，使用统计检验来评估多 IIS 的频率及其显着性（相对于“单 IIS 的随机分布”情况）。结果：在每个患者中，形成了数千个多 IIS（平均值 +/- SD，3322 +/- 2190），并自动提取了多个 SCAS（平均值 +/- SD，3.80 +/- 1.47）。结果表明，大脑结构的可重复子集参与了发作间期活动的产生。尽管发现 SCAS 因一名患者而异，但仍指出了一些不变的信息。在所有患者中。多 ITS 分布在两组不同的结构上：内侧结构 (15/15) 和外侧结构 (7/15)。此外，两个特殊的结构，即内部颞极和颞基底皮层，可能与第一组或第二组共同参与。最后，一些提取的 SCAS 似乎与颞叶明确的解剖功能回路相匹配。结论和意义：在 MTLE 的发作间期活动期间，颞叶结构的类似子集参与了尖峰的生成。本文提供了这些子集存在的统计证据，并提出了一种从 SEEG 记录中自动提取它们的方法。发作间期活动在颞叶中进行空间组织，并且优先涉及颞叶的两个功能系统（内侧或外侧）。 (C) 2004 年国际临床神经生理学联合会。由爱思唯尔爱尔兰有限公司出版。保留所有权利。
Objective: We present a novel quantitative method to statistically analyze the distribution of multichannel intracerebral interictal spikes (multi-IIS) in stereoelectroencephalographic (SEEG) recordings. The method automatically extracts groups of brain structures conjointly and frequently involved in the Generation of interictal activity. These groups are referred to as 'subsets of co-activated structures' (SCAS). We applied the method to long duration interictal recordings in patients with mesial temporal lobe epilepsy (MTLE) and analyzed the reproducibility of subsets of structures involved in the generation of multi-IIS for each patient and among patients.Methods: Fifteen patients underwent long-term intracerebral EEG recording (SEEG technique) using depth electrodes. A 1 h period of continuous interictal EEG recording was selected for each patient with precautions regarding the time after anesthesia pre-SEEG, the temporal distance with respect to seizures, the vigilance state of the patient, and the anti-epileptic drug withdrawal. A research of SCAS was conducted on each recording using the developed method that includes 3 steps: (i) automatic detection of monochannel intracerebral interictal spikes (mono-IIS), (ii) formation of multi-IIS using a temporal sliding window, and (iii) extraction of SCAS. In the third step, statistical tests are used to evaluate the frequency of multi-IIS as well as their significance (with respect to the 'random distribution of mono-IIS' case).Results: In each patient, several thousands of multi-IIS (mean +/- SD, 3322 +/- 2190) were formed and several SCAS (mean +/- SD, 3.80 +/- 1.47) were automatically extracted. Results show that reproducible subsets of brain structures are involved in the generation of interictal activity. Although SCAS were found to be variable from one patient to another, some invariant information was pointed up. In all patients. multi-ITS distribute over two distinct groups of structures: mesial structures (15/15) and lateral structures (7/15). Moreover, two particular structures, the internal temporal pole and the temporo-basal cortex, may be conjointly involved with either the first or the second group. Finally, some extracted SCAS seem to match well-defined anatomo-functional circuits of the temporal lobe.Conclusions and Significance: During interictal activity in MTLE, similar subsets of temporal lobe structures are involved in the generation of spikes. This paper brings statistical evidence for the existence of these subsets and presents a method to automatically extract them from SEEG recordings. Interictal activity is spatially organized in the temporal lobe and preferentially involves two functional systems of the temporal lobe (either mesial or lateral). (C) 2004 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.