23 November 2015 High-resolution imaging-guided electroencephalography source localization: temporal effect regularization incorporation in LORETA inverse solution
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Abstract
Electroencephalography (EEG) and magnetic resonance imaging (MRI) are noninvasive neuroimaging modalities. They are widely used and could be complementary. The fusion of these modalities may enhance some emerging research fields targeting the exploration better brain activities. Such research attracted various scientific investigators especially to provide a convivial and helpful advanced clinical-aid tool enabling better neurological explorations. Our present research was, in fact, in the context of EEG inverse problem resolution and investigated an advanced estimation methodology for the localization of the cerebral activity. Our focus was, therefore, on the integration of temporal priors to low-resolution brain electromagnetic tomography (LORETA) formalism and to solve the inverse problem in the EEG. The main idea behind our proposed method was in the integration of a temporal projection matrix within the LORETA weighting matrix. A hyperparameter is the principal fact for such a temporal integration, and its importance would be obvious when obtaining a regularized smoothness solution. Our experimental results clearly confirmed the impact of such an optimization procedure adopted for the temporal regularization parameter comparatively to the LORETA method.
© 2015 SPIE and IS&T
Jihene Boughariou, Jihene Boughariou, Wassim Zouch, Wassim Zouch, Mohamed Ben Slima, Mohamed Ben Slima, Ines Kammoun, Ines Kammoun, Ahmed Ben Hamida, Ahmed Ben Hamida, } "High-resolution imaging-guided electroencephalography source localization: temporal effect regularization incorporation in LORETA inverse solution," Journal of Electronic Imaging 24(6), 061204 (23 November 2015). https://doi.org/10.1117/1.JEI.24.6.061204 . Submission:
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