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Electrical source imaging of interictal spikes using multiple sparse volumetric priors for presurgical epileptogenic focus localization

机译:使用多个稀疏体积先验对术前癫痫病灶局部定位的尖峰间电源成像

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Electrical source imaging of interictal spikes observed in EEG recordings of patients with refractory epilepsy provides useful information to localize the epileptogenic focus during the presurgical evaluation. However, the selection of the time points or time epochs of the spikes in order to estimate the origin of the activity remains a challenge. In this study, we consider a Bayesian EEG source imaging technique for distributed sources, i.e. the multiple volumetric sparse priors (MSVP) approach. The approach allows to estimate the time courses of the intensity of the sources corresponding with a specific time epoch of the spike. Based on presurgical averaged interictal spikes in six patients who were successfully treated with surgery, we estimated the time courses of the source intensities for three different time epochs: (i) an epoch starting 50 ms before the spike peak and ending at 50% of the spike peak during the rising phase of the spike, (ii) an epoch starting 50 ms before the spike peak and ending at the spike peak and (iii) an epoch containing the full spike time period starting 50 ms before the spike peak and ending 230 ms after the spike peak. To identify the primary source of the spike activity, the source with the maximum energy from 50 ms before the spike peak till 50% of the spike peak was subsequently selected for each of the time windows. For comparison, the activity at the spike peaks and at 50% of the peaks was localized using the LORETA inversion technique and an ECD approach. Both patient-specific spherical forward models and patient-specific 5-layered finite difference models were considered to evaluate the influence of the forward model. Based on the resected zones in each of the patients, extracted from post-operative MR images, we compared the distances to the resection border of the estimated activity. Using the spherical models, the distances to the resection border for the MSVP approach and each of the different time epochs were in the same range as the LORETA and ECD techniques. We found distances smaller than 23 mm, with robust results for all the patients. For the finite difference models, we found that the distances to the resection border for the MSVP inversions of the full spike time epochs were generally smaller compared to the MSVP inversions of the time epochs before the spike peak. The results also suggest that the inversions using the finite difference models resulted in slightly smaller distances to the resection border compared to the spherical models. The results we obtained are promising because the MSVP approach allows to study the network of the estimated source-intensities and allows to characterize the spatial extent of the underlying sources. Highlights ? A Bayesian ESI technique is evaluated to localize interictal spike activity. ? Averaged spikes in six patients were used that were seizure free after surgery. ? We compared the technique with the LORETA an ECD technique. ? We evaluated both spherical and 5-layered finite difference forward models. ? Our approach is potentially useful to delineate the irritative zone.
机译:在难治性癫痫患者的脑电图记录中观察到的尖峰间电源成像为在术前评估过程中确定致癫痫病灶提供了有用的信息。然而,选择峰值的时间点或时间段以估计活动的起源仍然是一个挑战。在这项研究中,我们考虑了用于分布式源的贝叶斯EEG源成像技术,即多体积稀疏先验(MSVP)方法。该方法允许估计与尖峰的特定时间历元相对应的源的强度的时程。根据六位成功通过手术治疗的患者的术前平均间质尖峰,我们估算了三个不同时间周期的源强度的时程:(i)在尖峰峰值之前50毫秒开始并在峰值时间的50%结束的时期尖峰上升阶段的尖峰峰值,(ii)在尖峰峰值之前50毫秒开始并在尖峰峰值结束的时期,以及(iii)包含完整尖峰时间段的时期,从尖峰峰值之前50毫秒开始并结束230峰值后的毫秒数。为了确定尖峰活动的主要来源,随后为每个时间窗口选择了从尖峰峰值之前的50毫秒到尖峰峰值的50%具有最大能量的来源。为了进行比较,使用LORETA反转技术和ECD方法将峰峰值和峰的50%处的活性进行了定位。考虑患者特定的球形正向模型和患者特定的5层有限差分模型,以评估正向模型的影响。基于从术后MR图像中提取的每位患者的切除区域,我们比较了估计活动量与切除边界的距离。使用球面模型,MSVP方法到切除边界的距离以及每个不同的时间段都与LORETA和ECD技术处于同一范围内。我们发现距离小于23毫米,所有患者的结果均可靠。对于有限差分模型,我们发现,与尖峰之前的时间周期的MSVP反转相比,完整尖峰时间周期的MSVP反转到切除边界的距离通常较小。结果还表明,与球形模型相比,使用有限差分模型进行的反演导致距后方交界处边界的距离略小。我们获得的结果是有希望的,因为MSVP方法可以研究估计的源强度网络,并可以表征基础源的空间范围。强调 ?贝叶斯ESI技术进行了评估,以定位间质尖峰活动。 ?使用六名患者的平均峰值,这些峰值在手术后无癫痫发作。 ?我们将该技术与LORETA ECD技术进行了比较。 ?我们评估了球形和5层有限差分正向模型。 ?我们的方法对于划定刺激性区域可能很有用。

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