Multimodal Functional Imaging Lab, Department of Physics and PERFORM Centre, Concordia University, Montreal, Québec, Canada. Authors to whom any correspondence should be addressed.
J Neural Eng. 2020 Jun 12;17(3):035007. doi: 10.1088/1741-2552/ab8113.
Focal epilepsy is a disorder affecting several brain networks; however, epilepsy surgery usually targets a restricted region, the so-called epileptic focus. There is a growing interest in embedding resting state (RS) connectivity analysis into pre-surgical workup.
In this retrospective study, we analyzed Magnetoencephalography (MEG) long-range RS functional connectivity patterns in patients with drug-resistant focal epilepsy. MEG recorded prior to surgery from seven seizure-free (Engel Ia) and five non seizure-free (Engel III or IV) patients were analyzed (minimum 2-years post-surgical follow-up). MEG segments without any detectable epileptic activity were source localized using wavelet-based Maximum Entropy on the Mean method. Amplitude envelope correlation in the theta (4-8 Hz), alpha (8-13 Hz), and beta (13-26 Hz) bands were used for assessing connectivity.
For seizure-free patients, we found an isolated epileptic network characterized by weaker connections between the brain region where interictal epileptic discharges (IED) are generated and the rest of the cortex, when compared to connectivity between the corresponding contralateral homologous region and the rest of the cortex. Contrarily, non seizure-free patients exhibited a widespread RS epileptic network characterized by stronger connectivity between the IED generator and the rest of the cortex, in comparison to the contralateral region and the cortex. Differences between the two seizure outcome groups concerned mainly distant long-range connections and were found in the alpha-band.
Importantly, these connectivity patterns suggest specific mechanisms describing the underlying organization of the epileptic network and were detectable at the individual patient level, supporting the prospect use of MEG connectivity patterns in epilepsy to predict post-surgical seizure outcome.
局灶性癫痫是一种影响多个脑网络的疾病;然而,癫痫手术通常针对一个受限区域,即所谓的癫痫灶。将静息态(RS)连接分析嵌入术前评估的兴趣日益浓厚。
在这项回顾性研究中,我们分析了耐药性局灶性癫痫患者的脑磁图(MEG)长程 RS 功能连接模式。对 7 名无癫痫发作(Engel Ia)和 5 名有癫痫发作(Engel III 或 IV)的手术前无癫痫发作的患者(术后至少 2 年随访)进行了 MEG 记录。使用基于小波的最大熵均值方法对无任何可检测到的癫痫活动的 MEG 段进行源定位。在 theta(4-8 Hz)、alpha(8-13 Hz)和 beta(13-26 Hz)频段中使用振幅包络相关性来评估连接。
对于无癫痫发作的患者,我们发现了一个孤立的癫痫网络,与对侧同源区域和大脑皮层之间的连接相比,与发作间期癫痫放电(IED)产生的大脑区域之间的连接较弱。相比之下,非癫痫发作的患者表现出广泛的 RS 癫痫网络,IED 发生器与大脑皮层之间的连接较强,与对侧区域和皮层之间的连接相比。这两个癫痫发作结果组之间的差异主要涉及远距离长程连接,并且在 alpha 频段中发现。
重要的是,这些连接模式表明了描述癫痫网络潜在组织的特定机制,并且可以在个体患者水平上检测到,支持在癫痫中使用 MEG 连接模式来预测术后癫痫发作结果的前景。