Objective Using resting state EEG data analysis to explore whether there are any brain network change in patients with Absence epilepsy (AE) during the interictal period, and to provide theoretical basis for the network of absence seizures. Methods A total of 21 patients with AE were included in this study. 5 segments EEG data of each group from before-ictal, after-ictal and inter-ictal were intercepted for 10s for analysis and comparison. At the same time, 21 healthy subjects with gender and age matching were included as control group, and 5 segments of resting state EEG data for 10s were intercepted from each control group for analysis. The brain network was constructed by phase locking value (PLV), and then phase synchronization analysis was performed based on EEG electrodes. Network parameters including path length, global efficiency, clustering coefficient and local efficiency were calculated by graph theory analysis. The differences in functional connectivity and network parameters between AE group and control group and intra-class of AE group were compared. Results Compared with control group, the functional connectivity(FC)was enhanced in AE group in frontotemporal parietal area, in delta and beta2 frequency band. Meanwhile, in beta2 frequency band, the clustering coefficient, global efficiency and local efficiency of AE group were increased, while the path length was decreased (P<0.05) , when compared with control group. intra-class of AE group, compared with the inter-ictal, the path length was decreased before-ictal in delta, theta, alpha2, beta1 and beta 2 frequency bands, while the clustering coefficient, global efficiency and local efficiency were increased (P<0.05). The path length was decreased after-ictal, while the clustering coefficient, global efficiency and local efficiency were increased compared with inter-ictal (P<0.05). Conclusions There are abnormal changes of functional connectivity and network parameters among AE patients. At the same time, the functional connectivity and network parameters of AE patients were also changed during the process of absence seizure. The differences of brain network connectivity between before-ictal and inter-ictal were mainly manifested in network parameters, which may indicate that brain function not be fully recovered within a certain period of time after the termination of one absence seizure.
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