DocumentCode :
3076759
Title :
Head modeling and cortical source localization in epilepsy
Author :
Acar, Zeynep Akalin ; Makeig, Scott ; Worrell, Gregory
Author_Institution :
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, USA
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
3763
Lastpage :
3766
Abstract :
In this study, we developed numerical methods for investigating the dynamics of epilepsy from multi-scale EEG recordings acquired simultaneously from the scalp (sEEG) and intracranial subdural and/or depth electrodes (iEEG) in patients undergoing pre-surgical evaluation at the epilepsy center of the Mayo Clinic (Rochester, MN). The data are analyzed using independent component analysis (ICA), which identifies and isolates independent signal components from multi-channel recordings. A realistic individual head model was constructed for a patient undergoing pre-surgical evaluation. The forward problem of electro-magnetic source localization was solved using the Boundary Element Method (BEM). Using this approach, we investigated the relationships between noninvasive and invasive source localization of human electrical brain data sources. A difference of about 1 cm was observed between sources estimated from sEEG and iEEG measurements.
Keywords :
Brain modeling; Data analysis; Electrodes; Electroencephalography; Epilepsy; Independent component analysis; Magnetic heads; Scalp; Signal analysis; Signal processing; Algorithms; Cerebral Cortex; Computer Simulation; Diagnostic Imaging; Electroencephalography; Electrophysiology; Epilepsy; Finite Element Analysis; Head; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Anatomic; Principal Component Analysis; Tomography, X-Ray Computed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4650027
Filename :
4650027
Link To Document :
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