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Diffusion Magnetic Resonance information as a regularization term for MEG/EEG inverse problem

Brahim Belaoucha 1, * Anne-Charlotte Philippe 1 Maureen Clerc 1 Théodore Papadopoulo 1 
* Corresponding author
1 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Several regularization terms are used to constrain the Magnetoencephalography (MEG) and the Electroencephalography (EEG) inverse problem. It has been shown that the brain can be divided into several regions[1] with functional homogeneity inside each one of them. To locate these regions, we use the structural information coming from the diffusion Magnetic Resonance (dMRI) and more specifically, the anatomical connectivity of the distributed sources computed from dMRI. To invistigate the importance of the dMRI in the source reconstruction, we compare the solution based on dMRI-based parcellation to random parcellation.
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Submitted on : Monday, December 15, 2014 - 4:02:03 PM
Last modification on : Saturday, June 25, 2022 - 11:15:30 PM
Long-term archiving on: : Monday, March 16, 2015 - 12:16:02 PM


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  • HAL Id : hal-01095449, version 1



Brahim Belaoucha, Anne-Charlotte Philippe, Maureen Clerc, Théodore Papadopoulo. Diffusion Magnetic Resonance information as a regularization term for MEG/EEG inverse problem. The 19th International Conference on Biomagnetism, Aug 2014, Halifax, Canada. ⟨hal-01095449⟩



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