SOFOMORE: Combined EEG source and forward model reconstruction |
|
| 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 | EEG, source reconstruction, uncertain forward model, hierarchical Bayes, distributed model |
| Type | Conference paper [With referee] |
| Conference | 6th IEEE International Symposium on Biomedical Imaging (ISBI 2009) |
| Year | 2009 |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |