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We study patterns of partial synchronization in a network of FitzHugh-Nagumooscillators with empirical structural connectivity measured in human subjects.We report the spontaneous occurrence of synchronization phenomena that closelyresemble the ones seen during epileptic seizures in humans. In order to obtaindeeper insights into the interplay between dynamics and network topology, weperform long-term simulations of oscillatory dynamics on different paradigmaticnetwork structures: random networks, regular nonlocally coupled ring networks,ring networks with fractal connectivities, and small-world networks withvarious rewiring probability. Among these networks, a small-world network withintermediate rewiring probability best mimics the findings achieved with thesimulations using the empirical structural connectivity. For the other networktopologies, either no spontaneously occurring epileptic-seizure-relatedsynchronization phenomena can be observed in the simulated dynamics, or theoverall degree of synchronization remains high throughout the simulation. Thisindicates that a topology with some balance between regularity and randomnessfavors the self-initiation and self-termination of episodes of seizure-likestrong synchronization.

FitzHugh-Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena