SOFOMORE: Combined EEG source and forward model reconstruction

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    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.
    Original languageEnglish
    Title of host publicationIEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ISBI '09.
    PublisherIEEE
    Publication date2009
    Pages450-453
    ISBN (Print)978-1-4244-3931-7
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Boston, United States
    Duration: 28 Jun 20091 Jul 2009
    Conference number: 6
    https://ieeexplore.ieee.org/document/5192963

    Conference

    Conference2009 IEEE International Symposium on Biomedical Imaging
    Number6
    Country/TerritoryUnited States
    CityBoston
    Period28/06/200901/07/2009
    Internet address

    Bibliographical note

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