In modern neuroscience, the brain is increasingly seen as a complex network of dynamical systems with interactions between local and further remote brain regions. A way to explore the interactions between brain regions is to look at functional interactions, also called functional connectivity. Functional connectivity refers to the statistical interdependencies that exist between neurophysiological time series [9]. Electrocorticography [10] and depth electrode [11]–[13] studies have shown that network synchronization in the temporal lobe increases during a seizure when compared to the interictal and postictal states. Several studies indicate that a predisposing state exists prior to a seizure, which is characterized by desynchronization or hypersynchronization in different surrounding brain areas [14]–[16]. The changing synchronization patterns may be explained by the impact of brain disease on the spatial network configuration of the brain. These changes can be studied using a ‘graph’ theory approach [9]. A ‘small world’ network is thought to be the optimal network configuration for brain functioning [17]. In such a small world network, local integration is high, while the overall integrity of the network is also maintained (see figure
