Title :
SOFOMORE: Combined EEG source and forward model reconstruction
Author :
Stahlhut, Carsten ; Mørup, Morten ; Winther, Ole ; Hansen, Lars Kai
Author_Institution :
Dept. of Inf. & Math. Modelling, Tech. Univ. of Denmark, Lyngby, Denmark
fDate :
June 28 2009-July 1 2009
Abstract :
We propose a new EEG source localization method that simultaneously performs source and forward model reconstruction (SOFOMORE) in a hierarchical Bayesian framework. Reconstruction of the forward model is motivated by the many uncertainties involved in the forward model, including the representation of the cortical surface, conductivity distribution, and electrode positions. We demonstrate in both simulated and real EEG data that reconstruction of the forward model improves localization of the underlying sources.
Keywords :
Bayes methods; bioelectric phenomena; electrical conductivity; electroencephalography; medical signal processing; neurophysiology; signal reconstruction; signal representation; source separation; EEG source localization method; conductivity distribution; cortical surface representation; forward model reconstruction; hierarchical Bayesian framework; Bayesian methods; Brain modeling; Conductivity; Electrodes; Electroencephalography; Mathematical model; Sensor arrays; Solid modeling; Surface reconstruction; Uncertainty; EEG; distributed model; hierarchical Bayes; source reconstruction; uncertain forward model;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193081
