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立体脑电图定位癫痫发作起始区。

Imaging the seizure onset zone with stereo-electroencephalography.

机构信息

Fonctions Cérébrales et Neuromodulation, Université Joseph Fourier, Grenoble, France.

出版信息

Brain. 2011 Oct;134(Pt 10):2898-911. doi: 10.1093/brain/awr238.

Abstract

Stereo-electroencephalography is used to localize the seizure onset zone and connected neuronal networks in surgical candidates suffering from intractable focal epilepsy. The concept of an epileptogenicity index has been proposed recently to represent the likelihood of various regions being part of the seizure onset zone. It quantifies low-voltage fast activity, the electrophysiological signature of seizure onset usually assessed visually by neurologists. Here, we revisit epileptogenicity in light of neuroimaging tools such as those provided in statistical parametric mapping software. Our goal is to propose a robust approach, allowing easy exploration of patients' brains in time and space. The procedure is based upon statistical parametric mapping, which is an established framework for comparing multi-dimensional image data that allows one to correct for inherent multiple comparisons. Statistics can also be performed at the group level, between seizures in the same patient or between patients suffering from the same type of epilepsy using normalization of brains to a common anatomic atlas. Results are obtained from three case studies (insular reflex epilepsy, cryptogenic frontal epilepsy and lesional occipital epilepsy) where tailored resection was performed, and from a group of 10 patients suffering from mesial temporal lobe epilepsy. They illustrate the basics of the technique and demonstrate its very good reproducibility and specificity. Most importantly, the proposed approach to the quantification of the seizure onset zone allows one to summarize complex signals in terms of a time-series of statistical parametric maps that can support clinical decisions. Quantitative neuroimaging of stereo-electroencephalographic features of seizures might thus help to provide better pre-surgical assessment of patients undergoing resective surgery.

摘要

立体脑电图用于定位手术候选者中难治性局灶性癫痫的发作起始区和相关神经元网络。最近提出了癫痫发作指数的概念,以表示各个区域成为发作起始区的可能性。它量化了低电压快速活动,这是癫痫发作的电生理特征,通常由神经科医生通过视觉评估。在这里,我们根据神经影像学工具(如统计参数映射软件提供的工具)重新审视癫痫发作的问题。我们的目标是提出一种稳健的方法,允许在时间和空间上轻松探索患者的大脑。该过程基于统计参数映射,这是一种用于比较多维图像数据的成熟框架,允许对固有多重比较进行校正。统计还可以在组水平上进行,在同一患者的发作之间或在患有相同类型癫痫的患者之间进行,通过将大脑标准化到共同的解剖图谱来进行。结果来自三个案例研究(岛叶反射性癫痫、隐源性额叶癫痫和病变性枕叶癫痫),这些案例均进行了针对性的切除,以及 10 名患有内侧颞叶癫痫的患者。它们说明了该技术的基本原理,并证明了其非常好的可重复性和特异性。最重要的是,所提出的发作起始区量化方法可以将复杂信号概括为统计参数图的时间序列,从而支持临床决策。因此,对立体脑电图癫痫特征的定量神经影像学研究可能有助于更好地对接受切除术的患者进行术前评估。

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