CISUC

Modeling epileptic brain states using EEG spectral analysis and topographic mapping

Authors

Bruno Miguel Direito Pereira Leitão
César Teixeira
Bernardete Ribeiro
Miguel Castelo-Branco
Francisco Sales
António Dourado

Abstract

Changes in the spatio-temporal behavior of the brain electrical activity are believed to be associated to epileptic brain states. We propose a novel methodology to identify the different states of the epileptic brain, based on the topographic mapping of the time varying relative power of delta, theta, alpha, beta and gamma frequency sub-bands, estimated from EEG. Using normalized-cuts segmentation algorithm, points of interest are identified in the topographic mappings and their trajectories over time are used for finding out relations with epileptogenic propagations in the brain. These trajectories are used to train a Hidden Markov Model (HMM), which models the different epileptic brain states and the transition among them. Applied to 10 patients suffering from focal seizures, with a total of 30 seizures over 497.3 hours of data, the methodology shows good results (an average point-by-point accuracy of 89.31%) for the identification of the four brain states – interictal, preictal, ictal and postictal. The results suggest that the spatio-temporal dynamics captured by the proposed methodology are related to the epileptic brain states and transitions involved in focal seizures.

Keywords

epilepsy; epileptic seizure, relative spectral power, topographic mapping, brain modeling, Hidden Markov Models

Subject

EEG signal processing applied to Epileptic brain modeling

Journal

Journal of Neuroscience Methods, Elsevier, #2, pp. 220-229, Vincenzo Crunelli, November 2012

DOI


Cited by

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Year 2015 : 3 citations

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M Guirgis - 2015 - tspace.library.utoronto.ca
Epilepsy is a dynamical disease and its effects are evident in over fifty million people
worldwide. For patients with medically intractable epilepsy, clinicians identify seizure onset
zones (SOZs) for resection in an attempt to localize the epileptogenic zone (EZ), which is ...

 Chow–Liu trees are sufficient predictive models for reproducing key features of functional networks of periictal EEG time-series
A Steimer, F Zubler, K Schindler - NeuroImage, 2015 - Elsevier
Abstract Seizure freedom in patients suffering from pharmacoresistant epilepsies is still not
achieved in 20–30% of all cases. Hence, current therapies need to be improved, based on a
more complete understanding of ictogenesis. In this respect, the analysis of functional ...

Year 2014 : 4 citations

 Sriram Ramgopal, Sigride Thome-Souza, Michele Jackson, Navah Ester Kadish, Iván Sánchez Fernández, Jacquelyn Klehm, William Bosl, Claus Reinsberger, Steven Schachter, Tobias Loddenkemper, Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy, Epilepsy & Behavior, Volume 37, August 2014, Pages 291-307

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Year 2013 : 2 citations

 Guirgis, Mirna, et al. "Classification of multiple seizure-like states in three different rodent models of epileptogenesis." (2013): 1-1.

 Classification of multiple seizure-like states in three different rodent models of epileptogenesis
M Guirgis, D Serletis, J Zhang, C Florez, J Dian… - 2013 - ieeexplore.ieee.org