Bernstein Center for Computational Neuroscience, Albert-Ludwigs Universität, Freiburg, Germany.
J Clin Neurophysiol. 2010 Dec;27(6):465-70. doi: 10.1097/WNP.0b013e3182005dcd.
In epileptic patients candidate to surgery, the interpretation of EEG signals recorded either within (depth EEG) or at the surface (scalp EEG) of the head is a crucial issue to determine epileptogenic brain regions and to define subsequent surgical strategy. This task remains difficult as there is no simple relationship between the spatiotemporal features of neuronal generators (convoluted cortical dipole layers) and the electric field potentials recorded by the electrodes. Indeed, this relationship depends on the complex interaction of several factors regarding involved cortical sources: location, area, geometry, and synchronization of neuronal activity. A computational model is proposed to address this issue. It relies on a neurophysiologically relevant model of EEG signals, which combines an accurate description of both the intracerebral sources of activity and the transfer function between dipole layers and recorded field potentials. The model is used, on the one hand, to quantitatively study the influence of source-related parameters on the properties of simulated signals, and on the other hand, to jointly analyze depth EEG and scalp EEG signals. In this article, the authors review some of the results obtained from the model with respect to the literature on the interpretation of EEG signals in the context of epilepsy.
在候选手术的癫痫患者中，对头内（深部脑电图）或头皮（头皮脑电图）记录的 EEG 信号进行解释是确定致痫性脑区并定义后续手术策略的关键问题。由于神经元发生器（卷曲的皮质偶极子层）的时空特征与电极记录的电场电位之间没有简单的关系，因此这项任务仍然具有挑战性。实际上，这种关系取决于涉及皮质源的几个因素的复杂相互作用：位置、面积、几何形状和神经元活动的同步性。提出了一种计算模型来解决这个问题。它依赖于 EEG 信号的神经生理相关模型，该模型结合了对活动的脑内源的准确描述以及偶极子层和记录的场电位之间的传递函数。该模型一方面用于定量研究源相关参数对模拟信号特性的影响，另一方面用于联合分析深部 EEG 和头皮 EEG 信号。本文作者回顾了模型在癫痫背景下解释 EEG 信号的文献中获得的一些结果。
