Liang Jun-Ge, Lee Dongpyo, Youn Song Ee, Kim Heung Dong, Kim Nam-Young
RFIC Center, Kwangwoon University, Seoul, South Korea.
Epilepsy Research Institute, Yonsei University College of Medicine, Seoul, South Korea.
Front Neurol. 2017 Sep 4;8:456. doi: 10.3389/fneur.2017.00456. eCollection 2017.
This study aimed to investigate the functional network effects of corpus callosotomy (CC), a well-recognized palliative surgical therapy for patients with Lennox-Gastaut syndrome (LGS). Specifically, we sought to gain insight into the effects of CC on LGS remission, based on brain networks in LGS by calculating network metrics and evaluating by network measures before and after surgery.
Electroencephalographic recordings made during preoperative and 3-month postoperative states in 14 patients with LGS who had undergone successful CC were retrospectively analyzed. First, undirected correlation matrices were constituted for the mathematical expression of functional networks. Then, we plotted these networks to analyze the effects of CC on connectivity. In addition, conventional local and global network measures were applied to evaluate differences in network topology between preoperative and postoperative states.
In the preoperative state, hubs were mainly distributed around the paramedian regions. After CC, the hubs moved from the paramedian regions to the dual-hemisphere and even the lateral regions. Thus, the general connectivity state became more homogeneous, which was verified by network plots and statistical analysis of local measures. The results of global network measures indicated a decreased clustering coefficient in the delta band, decreased characteristic path length in both the delta and gamma bands, and increased global efficiency in the gamma band.
Our results showed a consistent variation in the global brain network that converted to a small-world topology with an optimal balance of functional integration and segregation of the network. Such changes were positively correlated with satisfactory surgery results, which could be interpreted as being indicative of LGS recovery process after CC. For patients with refractory LGS along with no focal epileptogenic zone findings, which were not suitable for the resective surgical therapy, our results verified that CC could work as an effective surgical treatment option.
本研究旨在调查胼胝体切开术(CC)对Lennox-Gastaut综合征(LGS)患者的功能网络影响,CC是一种公认的针对LGS患者的姑息性手术治疗方法。具体而言,我们试图通过计算网络指标并在手术前后通过网络测量进行评估,以深入了解CC对LGS缓解的影响,该评估基于LGS患者的脑网络。
回顾性分析了14例成功接受CC手术的LGS患者术前和术后3个月的脑电图记录。首先,构建无向相关矩阵以进行功能网络的数学表达。然后,我们绘制这些网络以分析CC对连通性的影响。此外,应用传统的局部和全局网络测量来评估术前和术后状态之间网络拓扑结构的差异。
在术前状态下,枢纽主要分布在中线旁区域。CC术后,枢纽从中线旁区域转移到双侧半球甚至外侧区域。因此,总体连通性状态变得更加均匀,这通过网络绘图和局部测量的统计分析得到了验证。全局网络测量结果表明,δ频段的聚类系数降低,δ和γ频段的特征路径长度均降低,γ频段的全局效率提高。
我们的结果显示,全脑网络存在一致的变化,转变为具有功能整合和网络分离最佳平衡的小世界拓扑结构。这些变化与满意的手术结果呈正相关,这可以解释为CC术后LGS恢复过程的指标。对于难治性LGS且未发现局灶性致痫区、不适合进行切除性手术治疗的患者,我们的结果证实CC可作为一种有效的手术治疗选择。