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在一种复杂的巨大下丘脑错构瘤病例中借助计算方法区分依赖期继发性癫痫发生

Distinguishing Dependent-Stage Secondary Epileptogenesis in a Complex Case of Giant Hypothalamic Hamartoma With Assistance of a Computational Method.

作者信息

Liu Zhao, Luan Guoming, Yang Chuanzuo, Guan Yuguang, Liu Changqing, Wang Jing, Wang Mengyang, Wang Qingyun

机构信息

Department of Functional Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.

Beijing Key Laboratory of Epilepsy, Epilepsy Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China.

出版信息

Front Neurol. 2020 Jun 10;11:478. doi: 10.3389/fneur.2020.00478. eCollection 2020.

Abstract

Besides gelastic seizures, hypothalamic hamartoma (HH) is also noted for its susceptibility to remote secondary epileptogenesis. Although clinical observations have demonstrated its existence, and a three-stage theory has been proposed, how to determine whether a remote symptom is spontaneous or dependent on epileptic activities of HH is difficult in some cases. Herein, we report a case of new non-gelastic seizures in a 9-year-old female associated with a postoperatively remaining HH. Electrophysiological examinations and stereo-electroencephalography (SEEG) demonstrated seizure onsets with slow-wave and fast activities on the outside of the HH. By using computational methodologies to calculate the network dynamic effective connectivities, the importance of HH in the epileptic network was revealed. After SEEG-guided thermal coagulation of the remaining HH, the patient finally was seizure-free at the 2-year follow-up. This case showed the ability of computational methods to reveal information underlying complex SEEG signals, and further demonstrated the dependent-stage secondary epileptogenesis, which has been rarely reported.

摘要

除了痴笑性癫痫发作外,下丘脑错构瘤(HH)还因其易发生远隔继发性癫痫发生而受到关注。尽管临床观察已证实其存在,并且已经提出了一个三阶段理论,但在某些情况下,很难确定远隔症状是自发的还是依赖于HH的癫痫活动。在此,我们报告一例9岁女性发生新的非痴笑性癫痫发作,与术后残留的HH有关。电生理检查和立体定向脑电图(SEEG)显示,癫痫发作起始于HH外部的慢波和快波活动。通过使用计算方法来计算网络动态有效连接性,揭示了HH在癫痫网络中的重要性。在SEEG引导下对残留的HH进行热凝治疗后,患者在2年随访时最终无癫痫发作。该病例显示了计算方法揭示复杂SEEG信号潜在信息的能力,并进一步证明了依赖性阶段继发性癫痫发生,这此前鲜有报道。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22f6/7297952/7d91db7ab058/fneur-11-00478-g0001.jpg

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