This paper presents a distributed and parallel approach for interictal spike analysis. Firstly, it allows a distributed real-time application designer to specify the desired temporal behaviour of a system, Secondly, it presents a local and global representation of interictal spike distribution for various states of patients. Thirdly it measures the relationship between interictal spikes (IS) and ictal discharges in human drug-resistant partial epilepsy. These results indicate that an analysis of sleep induced changes in depth spike activity can be useful in improving predictions concerning epileptogenicity.