title: Spatio-Temporal Clustering of Epileptic ECOG.
abstract: The spatio-temporal mechanisms underlying the generation of epileptic seizures is not yet clearly understood. In this study, we attempt to quantify the spatio-temporal interactions of an epileptic brain by using a previously proposed SOM-based Similarity Index (SI) measure. We further show that spectral clustering approach can be appropriately used to determine the average spatial mappings in the brain at different stages of a seizure, by interpreting the SOM-SI values as affinity matrices. Results involving two pairs of seizures of an epileptic patient suggest that there may not be a regular pattern associated with channels's spatio-temporal dynamics during the inter-ictal to prepost ictal transition.
authors.affiliation: CNEL, ECE Department, University of Florida, Gainesville, Florida, USA.
authors.forename: Anant
authors.initials: A
authors.lastname: Hegde
authors.forename: Deniz
authors.initials: D
authors.lastname: Erdogmus
authors.forename: Jose
authors.initials: J
authors.lastname: Principe