title: Clustering approach to quantify long-term spatio-temporal interactions in epileptic intracranial electroencephalography.
abstract: Abnormal dynamical coupling between brain structures is 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 nonlinear 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 regional spatio-temporal dynamics during the interictal to pre-post-ictal transition.
authors.affiliation: Computational NeuroEngineering Laboratory, Department of Electrical & Computer Engineering, University of Florida, Gainesville, FL 32611, USA. ashegde2004@gmail.com
authors.forename: Anant
authors.initials: A
authors.lastname: Hegde
authors.forename: Deniz
authors.initials: D
authors.lastname: Erdogmus
authors.forename: Deng S
authors.initials: DS
authors.lastname: Shiau
authors.forename: Jose C
authors.initials: JC
authors.lastname: Principe
authors.forename: Chris J
authors.initials: CJ
authors.lastname: Sackellares