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Reference-based source separation method for identification of brainregions involved in a reference state from intracerebral EEG

机译:基于参考的脑识别源分离方法脑电图参考状态所涉及的区域

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摘要

In this paper, we present a fast method to extract the sources related to interictal epileptiform state. The method is based on general eigenvalue decomposition using two correlation matrices during: 1) periods including interictal epileptiform discharges (IED) as a reference activation model and 2) periods excluding IEDs or abnormal physiological signals as background activity. After extracting the most similar sources to the reference or IED state, IED regions are estimated by using multiobjective optimization. The method is evaluated using both realistic simulated data and actual intracerebral electroencephalography recordings of patients suffering from focal epilepsy. These patients are seizure-free after the resective surgery. Quantitative comparisons of the proposed IED regions with the visually inspected ictal onset zones by the epileptologist and another method of identification of IED regions reveal good performance.
机译:在本文中,我们提出了一种快速的方法来提取与发作期癫痫样状态有关的来源。该方法基于使用两个相关矩阵的一般特征值分解:1)包括发作期癫痫样放电(IED)作为参考激活模型的周期,以及2)排除IED或异常生理信号作为背景活动的周期。在提取出与参考或IED状态最相似的源之后,通过使用多目标优化来估计IED区域。使用真实的模拟数据和局灶性癫痫患者的实际脑内脑电图记录来评估该方法。这些患者在切除手术后无癫痫发作。癫痫学家用目视检查的发作期区域与拟议的IED区域进行定量比较,以及另一种识别IED区域的方法显示出良好的性能。

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