Clustering Approach to Quantify Long Term Spatio-Temporal Interactions in Epileptic Intracranial Electrencephalograph

Dynamical couplings between brain structures are believed to be primarily responsible for the generation of epileptic seizures and their propagation. In this study, we attempt to identify the spatio-temporal interactions of an epileptic brain using a previously proposed non-linear dependency measure. Using a clustering model, we determine the average spatial mappings in an epileptic brain at different stages of a complex partial seizure. Results involving 8 seizures from 2 epileptic patients suggest that there may be a fixed pattern associated with channels’s spatiotemporal dynamics during the inter-ictal to pre-post ictal transition.