Head modeling and cortical source localization in epilepsy.
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.
Acar
Zeynep Akalin
ZA
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California-San Diego, La Jolla, CA, USA. zeynep@sccn.ucsd.edu
Makeig
Scott
S
Worrell
Gregory
G
D000465:Algorithms; D002540:Cerebral Cortex / Q000473:pathology / Q000502:physiology*; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000706:statistics & numerical data*; D004569:Electroencephalography / Q000706:statistics & numerical data*; D004594:Electrophysiology; D004827:Epilepsy / Q000473:pathology / Q000503:physiopathology*; D020342:Finite Element Analysis; D006257:Head / Q000033:anatomy & histology* / Q000503:physiopathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008953:Models, Anatomic; D025341:Principal Component Analysis; D014057:Tomography, X-Ray Computed / Q000379:methods