Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands.
BMC Neurosci. 2010 Aug 23;11:103. doi: 10.1186/1471-2202-11-103.
Both epilepsy patients and brain tumor patients show altered functional connectivity and less optimal brain network topology when compared to healthy controls, particularly in the theta band. Furthermore, the duration and characteristics of epilepsy may also influence functional interactions in brain networks. However, the specific features of connectivity and networks in tumor-related epilepsy have not been investigated yet. We hypothesize that epilepsy characteristics are related to (theta band) connectivity and network architecture in operated glioma patients suffering from epileptic seizures. Included patients participated in a clinical study investigating the effect of levetiracetam monotherapy on seizure frequency in glioma patients, and were assessed at two time points: directly after neurosurgery (t1), and six months later (t2). At these time points, magnetoencephalography (MEG) was recorded and information regarding clinical status and epilepsy history was collected. Functional connectivity was calculated in six frequency bands, as were a number of network measures such as normalized clustering coefficient and path length.
At the two time points, MEG registrations were performed in respectively 17 and 12 patients. No changes in connectivity or network topology occurred over time. Increased theta band connectivity at t1 and t2 was related to a higher total number of seizures. Furthermore, higher number of seizures was related to a less optimal, more random brain network topology. Other factors were not significantly related to functional connectivity or network topology.
These results indicate that (pathologically) increased theta band connectivity is related to a higher number of epileptic seizures in brain tumor patients, suggesting that theta band connectivity changes are a hallmark of tumor-related epilepsy. Furthermore, a more random brain network topology is related to greater vulnerability to seizures. Thus, functional connectivity and brain network architecture may prove to be important parameters of tumor-related epilepsy.
与健康对照组相比，癫痫患者和脑肿瘤患者的功能连接均发生改变，脑网络拓扑结构也不理想，尤其是在 theta 频段。此外，癫痫的持续时间和特征也可能影响脑网络中的功能相互作用。然而，肿瘤相关性癫痫的连接和网络的具体特征尚未得到研究。我们假设癫痫特征与接受手术的脑胶质瘤患者（伴有癫痫发作）的（theta 频段）连接和网络结构有关。入组患者参与了一项临床研究，旨在评估左乙拉西坦单药治疗对脑胶质瘤患者癫痫发作频率的影响，这些患者在两个时间点接受评估：神经手术后即刻（t1）和 6 个月后（t2）。在这两个时间点，进行了脑磁图（MEG）记录，并收集了有关临床状况和癫痫病史的信息。在六个频带中计算了功能连接，还计算了一些网络指标，如归一化聚类系数和路径长度。
在两个时间点，分别有 17 名和 12 名患者进行了 MEG 记录。连接或网络拓扑结构没有随时间发生变化。t1 和 t2 时 theta 频段连接增加与总发作次数增加有关。此外，发作次数较多与网络拓扑结构较差、更随机有关。其他因素与功能连接或网络拓扑结构没有显著相关性。
这些结果表明，（病理性）增加的 theta 频段连接与脑肿瘤患者癫痫发作次数增加有关，表明 theta 频段连接变化是肿瘤相关性癫痫的标志。此外，更随机的脑网络拓扑结构与对癫痫发作的更大易感性有关。因此，功能连接和脑网络结构可能成为肿瘤相关性癫痫的重要参数。
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