Virtual implantation using conventional scalp EEG delineates seizure onset and predicts surgical outcome in children with epilepsy.
Virtual implantation using conventional scalp EEG delineates seizure onset and predicts surgical outcome in children with epilepsy.
复制标题
使用常规头皮EEG的虚拟植入描绘癫痫发作并预测癫痫儿童的手术结果
DOI：
10.1016/j.clinph.2022.04.009
复制
发表时间：
2022-07
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
在接受神经外科手术的耐药性癫痫（DRE）患儿中，需要划定癫痫发作区（SOZ）。颅内脑电图（icEEG）是金标准，但也有局限性。在这里，我们研究了虚拟植入与电源成像（ESI）对癫痫发作头皮脑电图映射SOZ和预测手术结果的效用。我们回顾性分析了35例DRE患儿的EEG数据，这些患儿接受了手术治疗，并将其分为无癫痫发作（SF）和非癫痫发作（NSF）。我们估计虚拟传感器（VS）在大脑的位置，匹配icEEG植入和比较发作模式VS与icEEG。我们计算了VSSOZ和临床定义的SOZ之间的一致性，并建立了受试者工作特征（ROC）曲线，以测试它是否预测结果。21例患者术后SF。观察到虚拟和icEEG模式之间的中度一致性（kappa = 0.45，p < 0.001）。SF患者的虚拟SOZ与临床定义的SOZ一致率高于NSF患者（66.6% vs 41.6%，p = 0.01）。虚拟SOZ与临床定义的SOZ预测结果的解剖学一致性（AUC = 0.73; 95% CI：0.57-0.89;灵敏度= 66.7%;特异性= 78。准确率为71.4%。发作期头皮EEG虚拟植入可以近似SOZ并预测结果。VS的SOZ标测可能有助于定制icEEG植入并预测结果。
Delineation of the seizure onset zone (SOZ) is required in children with drug resistant epilepsy (DRE) undergoing neurosurgery. Intracranial EEG (icEEG) serves as gold standard but has limitations. Here, we examine the utility of virtual implantation with electrical source imaging (ESI) on ictal scalp EEG for mapping the SOZ and predict surgical outcome. We retrospectively analyzed EEG data from 35 children with DRE who underwent surgery and dichotomized into seizure-free (SF) and non-seizure-free (NSF). We estimated virtual sensors (VSs) at brain locations that matched icEEG implantation and compared ictal patterns at VSs vs icEEG. We calculated the agreement between VSs SOZ and clinically defined SOZ and built receiver operating characteristic (ROC) curves to test whether it predicted outcome. Twenty-one patients were SF after surgery. Moderate agreement between virtual and icEEG patterns was observed (kappa = 0.45, p < 0.001). Virtual SOZ agreement with clinically defined SOZ was higher in SF vs NSF patients (66.6% vs 41.6%, p = 0.01). Anatomical concordance of virtual SOZ with clinically defined SOZ predicted outcome (AUC = 0.73; 95% CI: 0.57–0.89; sensitivity = 66.7%; specificity = 78. 6%; accuracy = 71.4%). Virtual implantation on ictal scalp EEG can approximate the SOZ and predict outcome. SOZ mapping with VSs may contribute to tailoring icEEG implantation and predict outcome.
登录
查看更多内容
影响因子：
14.5
作者：
Agirre-Arrizubieta, Z.;Huiskamp, G. J. M.;Leijten, F. S. S.
通讯作者：
Leijten, F. S. S.
影响因子：
5.7
作者：
Dubarry, Anne-Sophie;Badier, Jean-Michel;Benar, Christian-G.
通讯作者：
Benar, Christian-G.
影响因子：
3
作者：
Di Giacomo, Roberta;Uribe-San-Martin, Reinaldo;Tassi, Laura
通讯作者：
Tassi, Laura
影响因子：
4.8
作者：
Cossu, M;Cardinale, F;Lo Russo, G
通讯作者：
Lo Russo, G
影响因子：
4.7
作者：
Foged, Mette Thrane;Martens, Terje;Beniczky, Sandor
通讯作者：
Beniczky, Sandor