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Non-invasive Functional Neuroimaging for Localizing Epileptic Brain Activity

Yazdan Shirvany (Institutionen för signaler och system, Signalbehandling ; Institutionen för signaler och system, Biomedicinsk elektromagnetik)
Göteborg : Chalmers University of Technology, 2012.

Surgical therapy has become an important therapeutic alternative for patients with medically intractable epilepsy. Correct and anatomically precise localization of the epileptic focus, preferably with non-invasive methods, is the main goal of the pre-surgical epilepsy diagnosis to decide if resection of brain tissue is possible. The most important diagnosis tool used at epilepsy surgery centers is electroencephalography (EEG), which is used to find the source of activities inside the brain by measuring the voltage potential on the scalp with the EEG electrodes at different locations. The overall goal is to develop a non-invasive, clinically-viable, time-efficient method for localization of epileptic brain activity based on EEG source localization. We propose a new global optimization method based on particle swarm optimization (PSO) to solve the epileptic spike EEG source localization inverse problem. In the forward problem a modified subtraction method is used for modeling the dipole source to reduce the computational time. The new proposed inverse method is tested for synthetic and real EEG data and the results are compared with other existing methods. The results for synthetic data showed that the new PSO algorithm can find the optimal solution significantly faster and more accurate than the other methods and also reduce the probability of trapping in local minima. In the clinical test, somatosensory evoked potentials (SEPs) were measured for a healthy subject and used for source localization. A realistic 1 mm patient-specific, isotropic finite element model of the subject’s head with special consideration of precise modeling the two compartments, skull and cerebrospinal fluid (CSF), was generated using T1-weighted magnetic resonance imaging data. The proposed inverse problem solver found the global minima with acceptable accuracy and reasonable number of iterations.

Nyckelord: Functional Neuroimaging; Non-invasive EEG; Epileptic Spike; Source localization; Somatosensory Evoked Potentials; Structural Magnetic Resonance Imaging; Forward Problem; Inverse Problem; Particle Swarm Optimization; Finite Element Method; Mathematical Dipole

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Denna post skapades 2012-03-07.
CPL Pubid: 155685


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Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling
Institutionen för signaler och system, Biomedicinsk elektromagnetik


Elektroteknik och elektronik

Chalmers infrastruktur


Datum: 2012-03-27
Tid: 10:00
Lokal: EF, 6th floor, Hörsalsvägen 11
Opponent: Leif Hultin

Ingår i serie

R - Department of Signals and Systems, Chalmers University of Technology R002/2012