Clustering approach to quantify long-term spatio-temporal interactions in epileptic intracranial electroencephalography

Abstract

Abnormal dynamical coupling between brain structures is believed to be primarilyresponsible for the generation of epileptic seizures and their propagation. In this study, weattempt to identify the spatio-temporal interactions of an epileptic brain using a previouslyproposed nonlinear dependency measure. Using a clustering model, we determine the averagespatial mappings in an epileptic brain at different stages of a complex partial seizure. Resultsinvolving 8 seizures from 2 epileptic patients suggest that there may be a fixed pattern associatedwith regional spatio-temporal dynamics during the interictal to pre-post-ictal transition.