Sugiyama Ichiro, Imai Katsumi, Yamaguchi Yu, Ochi Ayako, Akizuki Yoko, Go Cristina, Akiyama Tomoyuki, Snead O Carter, Rutka James T, Drake James M, Widjaja Elysa, Chuang Sylvester H, Cheyne Doug, Otsubo Hiroshi
Divisions of Neurology, The Hospital for Sick Children, University of Toronto, Ontario, Canada.
J Neurosurg Pediatr. 2009 Dec;4(6):515-22. doi: 10.3171/2009.7.PEDS09198.
Magnetoencephalography (MEG) has been typically used to localize epileptic activity by modeling interictal activity as equivalent current dipoles (ECDs). Synthetic aperture magnetometry (SAM) is a recently developed adaptive spatial filtering algorithm for MEG that provides some advantages over the ECD approach. The SAM-kurtosis algorithm (also known as SAM[g2]) additionally provides automated temporal detection of spike sources by using excess kurtosis value (steepness of epileptic spike on virtual sensors). To evaluate the efficacy of the SAM(g2) method, the authors applied it to readings obtained in children with intractable epilepsy secondary to tuberous sclerosis complex (TSC), and compared them to localizations obtained with ECDs.
The authors studied 13 children with TSC (7 girls) whose ages ranged from 13 months to 16.3 years (mean 7.3 years). Video electroencephalography, MR imaging, and MEG studies were analyzed. A single ECD model was applied to localize ECD clusters. The SAM(g2) value was calculated at each SAM(g2) virtual voxel in the patient's MR imaging-defined brain volume. The authors defined the epileptic voxels of SAM(g2) (evSAM[g2]) as those with local peak kurtosis values higher than half of the maximum. A clustering of ECDs had to contain > or = 6 ECDs within 1 cm of each other, and a grouping of evSAM(g2)s had to contain > or = 3 evSAM(g2)s within 1 cm of each other. The authors then compared both ECD clusters and evSAM(g2) groups with the resection area and correlated these data with seizure outcome.
Seizures started when patients were between 6 weeks and 8 years of age (median 6 months), and became intractable secondary to multiple tubers in all cases. Ictal onset on scalp video electroencephalography was lateralized in 8 patients (62%). The MEG studies showed multiple ECD clusters in 7 patients (54%). The SAM(g2) method showed multiple groups of epileptic voxels in 8 patients (62%). Colocalization of grouped evSAM(g2) with ECD clusters ranged from 20 to 100%, with a mean of 82%. Eight patients underwent resection of single (1 patient) and multiple (7 patients) lobes, with 6 patients achieving freedom from seizures. Of 8 patients who underwent surgery, in 7 the resection area covered ECD clusters and grouped evSAM(g2)s. In the remaining patient the resection area partially included the ECD cluster and grouped evSAM(g2)s. Six of the 7 patients became seizure free.
The combination of SAM(g2) and ECD analyses succeeded in localizing the complex epileptic zones in children with TSC who had intractable epilepsy secondary to multiple cortical tubers. For the subset of children with TSC who present with early-onset and nonlateralized seizures, MEG studies in which SAM(g2) and ECD are used might identify suitable candidates for resection to control seizures.
脑磁图(MEG)通常通过将发作间期活动建模为等效电流偶极子(ECD)来定位癫痫活动。合成孔径磁测量法(SAM)是一种最近开发的用于MEG的自适应空间滤波算法,它比ECD方法具有一些优势。SAM-峰度算法(也称为SAM[g2])还通过使用过量峰度值(虚拟传感器上癫痫棘波的陡峭度)来自动进行尖峰源的时间检测。为了评估SAM(g2)方法的有效性,作者将其应用于结节性硬化症(TSC)继发的难治性癫痫患儿的读数,并将其与ECD获得的定位结果进行比较。
作者研究了13例TSC患儿(7名女孩),年龄从13个月至16.3岁(平均7.3岁)。对视频脑电图、磁共振成像和MEG研究进行了分析。应用单个ECD模型来定位ECD簇。在患者磁共振成像定义的脑体积中的每个SAM(g2)虚拟体素处计算SAM(g2)值。作者将SAM(g2)的癫痫体素(evSAM[g2])定义为局部峰度值高于最大值一半的体素。ECD的聚类必须在彼此1厘米范围内包含≥6个ECD,而evSAM(g2)的分组必须在彼此1厘米范围内包含≥3个evSAM(g2)。然后作者将ECD簇和evSAM(g2)组与切除区域进行比较,并将这些数据与癫痫发作结果相关联。
癫痫发作始于患者6周龄至8岁之间(中位数6个月),所有病例均因多个结节而变得难治。头皮视频脑电图上的发作起始在8例患者(62%)中为单侧性。MEG研究显示7例患者(54%)有多个ECD簇。SAM(g2)方法在8例患者(62%)中显示有多个癫痫体素组。分组的evSAM(g2)与ECD簇的共定位范围为20%至100%,平均为82%。8例患者接受了单叶(1例患者)和多叶(7例患者)切除,6例患者实现无癫痫发作。在接受手术的8例患者中,7例的切除区域覆盖了ECD簇和分组的evSAM(g2)。在其余1例患者中,切除区域部分包括ECD簇和分组的evSAM(g2)。7例患者中有6例无癫痫发作。
SAM(g2)和ECD分析相结合成功地定位了TSC继发于多个皮质结节的难治性癫痫患儿的复杂癫痫区域。对于表现为早发性和非单侧性癫痫发作的TSC患儿亚组,使用SAM(g2)和ECD的MEG研究可能会识别出适合切除以控制癫痫发作的候选者。