Cosandier-Rimélé Delphine, Badier Jean-Michel, Chauvel Patrick, Wendling Fabrice
INSERM, U642, Laboratoire Traitement du Signal et de l'Image, Campus de Beaulieu, Université de Rennes 1, LTSI, 35042, France.
IEEE Trans Biomed Eng. 2007 Mar;54(3):380-8. doi: 10.1109/TBME.2006.890489.
Stereoelectroencephalography (depth-EEG signals) is a presurgical investigation technique of drug-resistant partial epilepsy, in which multiple sensor intracerebral electrodes are used to directly record brain electrical activity. In order to interpret depth-EEG signals, we developed an extended source model which connects two levels of representation: (1) a distributed current dipole model which describes the spatial distribution of neuronal sources; (2) a model of coupled neuronal populations which describes their temporal dynamics. From this extended source model, depth-EEG signals were simulated from the forward solution at each electrode sensor located inside the brain. Results showed that realistic transient epileptiform activities (spikes) are obtained under specific conditions in the model in terms of degree of coupling between neuronal populations and spatial extent of the source. In particular, the cortical area involved in the generation of epileptic spikes was estimated to vary from 18 to 25 cm2, for brain conductivity values ranging from 30 to 35 x 10(-5) S/mm, for high coupling degree between neuronal populations and for a volume conductor model that accounts for the three main tissues of the head (brain, skull, and scalp). This study provides insight into the relationship between spatio-temporal properties of cortical neuronal sources and depth-EEG signals.
立体脑电图(深度脑电图信号)是一种用于耐药性局灶性癫痫的术前检查技术,该技术使用多个颅内传感器电极直接记录脑电活动。为了解释深度脑电图信号,我们开发了一种扩展源模型,该模型连接了两个表征层次:(1)描述神经元源空间分布的分布式电流偶极子模型;(2)描述神经元群体时间动态的耦合神经元群体模型。基于这个扩展源模型,从位于脑内的每个电极传感器的正向解模拟出深度脑电图信号。结果表明,根据神经元群体之间的耦合程度和源的空间范围,在模型的特定条件下可获得逼真的瞬态癫痫样活动(尖峰)。特别是,对于脑电导率值在30至35×10(-5)S/mm之间、神经元群体之间耦合程度高且考虑头部三个主要组织(脑、颅骨和头皮)的容积导体模型,参与癫痫尖峰产生的皮质面积估计在18至25平方厘米之间变化。本研究深入探讨了皮质神经元源的时空特性与深度脑电图信号之间的关系。