Application of particle swarm optimization in epileptic spike EEG source localization
The spike and background dipole positions and orientations in the 3D case (black arrow: spike dipole; red arrow: background dipole). [Display omitted] ► Modified particle swarm optimization can find the optimal solution significantly faster and more accurate than the standard PSO. ► Modified particl...
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| Published in | Applied soft computing Vol. 13; no. 5; pp. 2515 - 2525 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.05.2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1568-4946 1872-9681 |
| DOI | 10.1016/j.asoc.2012.11.035 |
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| Abstract | The spike and background dipole positions and orientations in the 3D case (black arrow: spike dipole; red arrow: background dipole). [Display omitted]
► Modified particle swarm optimization can find the optimal solution significantly faster and more accurate than the standard PSO. ► Modified particle swarm optimization reduces the probability of trapping in local minima. ► Modified subtraction method speeds up the computational time.
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. |
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| AbstractList | 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 The spike and background dipole positions and orientations in the 3D case (black arrow: spike dipole; red arrow: background dipole). [Display omitted] ► Modified particle swarm optimization can find the optimal solution significantly faster and more accurate than the standard PSO. ► Modified particle swarm optimization reduces the probability of trapping in local minima. ► Modified subtraction method speeds up the computational time. 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. |
| Author | Edelvik, Fredrik Hedström, Anders Jakobsson, Stefan Shirvany, Yazdan Persson, Mikael |
| Author_xml | – sequence: 1 givenname: Yazdan surname: Shirvany fullname: Shirvany, Yazdan email: yazdan.shirvany@chalmers.se, y_shirvany@yahoo.com organization: Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Göteborg, Sweden – sequence: 2 givenname: Fredrik surname: Edelvik fullname: Edelvik, Fredrik organization: Fraunhofer-Chalmers Research Center, Chalmers Science Park, SE-412 88 Göteborg, Sweden – sequence: 3 givenname: Stefan surname: Jakobsson fullname: Jakobsson, Stefan organization: Fraunhofer-Chalmers Research Center, Chalmers Science Park, SE-412 88 Göteborg, Sweden – sequence: 4 givenname: Anders surname: Hedström fullname: Hedström, Anders organization: Sahlgrenska Academy, SE-416 85 Göteborg, Sweden – sequence: 5 givenname: Mikael surname: Persson fullname: Persson, Mikael organization: Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Göteborg, Sweden |
| BackLink | https://research.chalmers.se/publication/169779$$DView record from Swedish Publication Index |
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| Keywords | Finite element method Electroencephalography Source localization Particle swarm optimization Epilepsy |
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| Snippet | The spike and background dipole positions and orientations in the 3D case (black arrow: spike dipole; red arrow: background dipole). [Display omitted]
►... Surgical therapy has become an important therapeutic alternative for patients with medically intractable epilepsy. Correct and anatomically precise... |
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| SubjectTerms | Electroencephalography Epilepsy Finite element method Particle swarm optimization Source localization |
| Title | Application of particle swarm optimization in epileptic spike EEG source localization |
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