DocumentCode
2393207
Title
Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm
Author
Latif, Mohamed Amin ; Babajani-Feremi, Abbas ; Barkmeier, Daniel ; Leob, Jeffery A. ; Soltanian-Zadeh, Hamid
Author_Institution
Radiol. Dept., Henry Ford Health Syst., Detroit, MI, USA
fYear
2010
fDate
3-4 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
The gold standard for the localization of epileptic activities in the cerebral cortex is intracranial electrocorticography (ECoG) electrodes placed directly on the brain surface. However, it has limitations in being able to localize deep brain epileptic sources. As a means to improve the localization of epileptic activities from these subdural electrical recordings, we developed a simple source monitoring system to detect and localize these deep sources. The method is based on an independent component analysis (ICA) algorithm known as joint approximate diagonalization of eigen-matrices (JADE). This method was tested on patients with neocortical epileptic foci focusing on the interictal spikes from ECoG signals. The proposed method localizes the interictal epileptic discharges to both superficial as well as deep regions of the human neocortex and has the potential to improve the localization and surgical outcomes of patients with medically refractory epilepsy undergoing surgical resections.
Keywords
bioelectric phenomena; brain; independent component analysis; medical disorders; medical signal detection; neurophysiology; patient monitoring; spatiotemporal phenomena; ICA algorithm; cerebral cortex; eigenmatrices; epileptic activity; focal epileptic source; independent component analysis; interictal epileptic discharge; interictal spikes; intracranial electrocortical recording; intracranial electrocorticography electrodes; joint approximate diagonalization; medically refractory epilepsy; patient monitoring; signal monitoring; source monitoring system; spatiotemporal localization; surgical resection; Biological system modeling; Brain modeling; Electrodes; Epilepsy; Magnetic resonance imaging; Signal to noise ratio; Surgery; independent component analysis (ICA); interictal spikes (IIS); intracranial electrocorticography (ECoG); joint approximate diagonalization of eigen-matrices (JADE);
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering (ICBME), 2010 17th Iranian Conference of
Conference_Location
Isfahan
Print_ISBN
978-1-4244-7483-7
Type
conf
DOI
10.1109/ICBME.2010.5704921
Filename
5704921
Link To Document