De Vos M, Vergult A, De Lathauwer L, De Clercq W, Van Huffel S, Dupont P, Palmini A, Van Paesschen W
Katholieke Universiteit Leuven, Department of Electrical Engineering, Leuven, Belgium.
Neuroimage. 2007 Sep 1;37(3):844-54. doi: 10.1016/j.neuroimage.2007.04.041. Epub 2007 May 21.
Long-term electroencephalographic (EEG) recordings are important in the presurgical evaluation of refractory partial epilepsy for the delineation of the irritative and ictal onset zones. In this paper we introduce a new algorithm for an automatic, fast and objective localizing of the ictal onset zone in ictal EEG recordings. We extracted the potential distribution of the ictal activity from EEG using the higher order canonical decomposition method, also referred to as the CP model. The CP model decomposes in a unique way a higher order tensor in a minimal sum of rank-1 'atoms'. We showed that only one atom is related to the seizure activity. Simulation experiments demonstrated that the method correctly extracted the potential distribution of the ictal activity even with low signal-to-noise ratios. In 37 ictal EEGs, the CP method correctly localized the seizure onset zone in 34 (92%) and visual assessment in 21 cases (57%) (p=0.00024). The CP method is a fast method to delineate the ictal onset zone in ictal EEGs and is more sensitive than visual interpretation of the ictal EEGs.
长期脑电图（EEG）记录在难治性部分性癫痫的术前评估中对于确定激惹区和发作起始区非常重要。在本文中，我们介绍了一种新算法，用于在发作期EEG记录中自动、快速且客观地定位发作起始区。我们使用高阶典范分解方法（也称为CP模型）从EEG中提取发作期活动的电位分布。CP模型以独特的方式将高阶张量分解为秩为1的“原子”的最小和。我们表明只有一个原子与癫痫发作活动相关。模拟实验表明，即使在低信噪比的情况下，该方法也能正确提取发作期活动的电位分布。在37份发作期EEG中，CP方法在34例（92%）中正确定位了癫痫发作起始区，而视觉评估在21例（57%）中正确定位（p = 0.00024）。CP方法是一种快速描绘发作期EEG中发作起始区的方法，并且比发作期EEG的视觉解读更敏感。
