P3-3-2. Resemblance of the connectivity in the brain of patients suffering from epilepsy with small-world networks

摘要

The brain network between healthy individuals and patients suffering from epileptiform discharges was compared to investigate whether or not the brain network of patients with epileptiform discharges resembles a small world network. The EEG (19 channels) of the healthy subjects and patients were recorded during a state of relaxation. Segments of 2?s during the eyes closed were analyzed in the healthy individuals’ EEG. In the patients’ EEG, segments of two seconds were analyzed during epileptiform discharge. Wavelet-crosscorrelation analysis was used to obtain wavelet-crosscorrelation coefficients (WCC). WCC was calculated in the alpha bandwidth (non-discharge), and the theta band (discharge). Three network parameters were calculated: the shortest path length, the global efficiency, and the clustering coefficient. The results in the theta band showed that the shortest path length during discharge in the patients was significantly lower than non-discharge and healthy individuals. Both the clustering coefficient and global efficiency in the patients during discharge were significantly higher than non-discharge and healthy subjects. No significant results were found in the alpha band. These results suggest that the network in the brain of patients during a discharge could be more resembling to a small world network.