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Epilepsy is related to theta band brain connectivity and network topology in brain tumor patients

机译:癫痫症与脑肿瘤患者的θ带大脑连通性和网络拓扑结构有关

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Background 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. Results 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. Conclusions 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.
机译:背景与健康对照组相比,癫痫患者和脑肿瘤患者均表现出功能连接性改变和最佳的大脑网络拓扑结构变差,特别是在θ带中。此外,癫痫的持续时间和特征也可能影响大脑网络中的功能相互作用。但是,尚未研究肿瘤相关性癫痫中的连通性和网络的特定特征。我们假设癫痫特征与患有癫痫性癫痫的手术神经胶质瘤患者的(θ带)连通性和网络结构有关。纳入的患者参加了研究左乙拉西坦单一疗法对神经胶质瘤患者癫痫发作频率影响的临床研究,并在两个时间点进行评估:神经外科手术后立即(t1)和六个月后(t2)。在这些时间点,记录脑磁图(MEG),并收​​集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性,还使用了许多网络度量标准,例如归一化聚类系数和路径长度。结果在两个时间点分别对17例和12例患者进行了MEG注册。随着时间的流逝,连接性或网络拓扑没有发生变化。在t1和t2时θ带连接性增加与癫痫发作总数增加有关。此外,癫痫发作的次数更多与较不理想,更随机的大脑网络拓扑有关。其他因素与功能连接性或网络拓扑没有明显关系。结论这些结果表明,(病理学上)θ带连接性的增加与脑肿瘤患者癫痫发作的增多有关,这表明θ带连接性的改变是肿瘤相关性癫痫的标志。此外,更随机的大脑网络拓扑结构与更大的癫痫发作易感性有关。因此,功能连接性和脑网络结构可能被证明是肿瘤相关性癫痫的重要参数。

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