Application of particle swarm optimization in epileptic spike EEG source localization

  • Authors:
  • Yazdan Shirvany;Fredrik Edelvik;Stefan Jakobsson;Anders HedströM;Mikael Persson

  • Affiliations:
  • Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Göteborg, Sweden and MedTechWest Center, SE-416 85 Göteborg, Sweden;Fraunhofer-Chalmers Research Center, Chalmers Science Park, SE-412 88 Göteborg, Sweden;Fraunhofer-Chalmers Research Center, Chalmers Science Park, SE-412 88 Göteborg, Sweden;Sahlgrenska Academy, SE-416 85 Göteborg, Sweden;Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Göteborg, Sweden and MedTechWest Center, SE-416 85 Göteborg, Sweden

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2013

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Abstract

Surgical therapy has become an important therapeutic alternative for patients with medically intractable epilepsy. Correct and anatomically precise localization of an epileptic focus is essential to decide if resection of brain tissue is possible. The inverse problem in EEG-based source localization is to determine the location of the brain sources that are responsible for the measured potentials at the scalp electrodes. We propose a new global optimization method based on particle swarm optimization (PSO) to solve the epileptic spike EEG source localization inverse problem. In a forward problem a modified subtraction method is proposed to reduce the computational time. The good accuracy and fast convergence are demonstrated for 2D and 3D cases with realistic head models. The results from the new method are promising for use in the pre-surgical clinic in the future.