Division of Neurosurgery, Department of Surgery, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada; Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, University of Toronto, Toronto, ON, Canada.
Division of Neurosurgery, CHU Sainte-Justine Hospital, University of Montreal, Montreal QC, Canada.
Seizure. 2018 Oct;61:89-93. doi: 10.1016/j.seizure.2018.08.006. Epub 2018 Aug 9.
Magnetic Resonance-guided Laser Interstitial Thermal Therapy (MRgLITT) is an emerging minimally-invasive alternative to resective surgery for medically-intractable epilepsy. The precise lesioning effect produced by MRgLITT supplies opportunities to glean insights into epileptogenic regions and their interactions with functional brain networks. In this exploratory analysis, we sought to characterize associations between MRgLITT ablation zones and large-scale brain networks that portended seizure outcome using resting-state fMRI.
Presurgical fMRI and intraoperatively volumetric structural imaging were obtained, from which the ablation volume was segmented. The network properties of the ablation volume within the brain's large-scale brain networks were characterized using graph theory and compared between children who were and were not rendered seizure-free.
Of the seventeen included children, five achieved seizure freedom following MRgLITT. Greater functional connectivity of the ablation volume to canonical resting-state networks was associated with seizure-freedom (p < 0.05, FDR-corrected). The ablated volume in children who subsequently became seizure-free following MRgLITT had significantly greater strength, and eigenvector centrality within the large-scale brain network.
These findings provide novel insights into the interaction between epileptogenic cortex and large-scale brain networks. The association between ablation volume and resting-state networks may supply novel avenues for presurgical planning and patient stratification.
磁共振引导激光间质热疗(MRgLITT)是一种新兴的微创替代手术方法,可用于治疗药物难治性癫痫。MRgLITT 产生的精确消融效果为深入了解致痫区及其与功能脑网络的相互作用提供了机会。在这项探索性分析中,我们试图使用静息态 fMRI 来描述与消融区和大规模脑网络之间的关联,这些关联预示着癫痫发作的结果。
我们获得了术前 fMRI 和术中容积结构成像,从中分割出消融体积。使用图论来描述大脑大规模脑网络内消融体积的网络特性,并比较了在 MRgLITT 后无癫痫发作和有癫痫发作的儿童之间的差异。
在 17 名纳入的儿童中,5 名儿童在接受 MRgLITT 后癫痫发作得到控制。与癫痫发作控制相关的是,消融体积与经典静息态网络的功能连接性更强(p<0.05,经 FDR 校正)。在接受 MRgLITT 后癫痫发作得到控制的儿童中,消融体积在大规模脑网络中的强度和特征向量中心性显著更高。
这些发现为致痫皮层与大规模脑网络之间的相互作用提供了新的见解。消融体积与静息态网络之间的关联可能为术前规划和患者分层提供新的途径。