Intrinsic Bursting Properties and Pattern of Activity in Spatially Distributed Networks

This paper addresses the hypothesis that during seizures, changes in the dynamics of [Ca] transients caused by saturation of intracellular calcium removal or buffering systems can result in observed alterations of seizure dynamics. Using large neural network models of single compartment neurons, we show how changing [Ca] and effects on calcium-mediated afterhyperpolarization may influence the spatiotemporal characteristics of seizure patterns. Such changes in [Ca] may also be important contributions to seizure termination. These studies can provide insights into the understanding of mechanisms of the dynamic changes seen in seizures in humans