A nested cortex parcellation combining analysis of MEG forward problem and diffusion MRI tractography

Anne-Charlotte Philippe 1, * Maureen Clerc 1 Théodore Papadopoulo 1 Rachid Deriche 1
* Auteur correspondant
1 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Understanding the relationship between structure and function is a major challenge in neuroscience. Diffusion MRI (dMRI) in the only non-invasive modality allowing to have access to the neural structure. Magnetoencephalography (MEG) is another non-invasive modality that allows a direct access to the temporal succession of cognitive processes. Functional cortex parcellation being one of the most impor- tant ways to understanding structure-function relationship, we propose an innovative method merging MEG and dMRI to parcellate the cortex. The combination of MEG forward problem and connectivity information reveals cortical areas generating a similar magnetic field at sensors while having a similar connectivity. Results show suitable clusters that forecast interesting studies for inter- and intra- subjects com- parisons of the cortex parcellations. The automatic nested cortex parcellation we propose could be a first step to analyse sources that are seeds of long or short range connectivity and to differentiate these connectivities in the white matter.
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Communication dans un congrès
ISBI - IEEE International Symposium on Biomedical Imaging - 2012, May 2012, Barcelona, Spain. 2012
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Anne-Charlotte Philippe, Maureen Clerc, Théodore Papadopoulo, Rachid Deriche. A nested cortex parcellation combining analysis of MEG forward problem and diffusion MRI tractography. ISBI - IEEE International Symposium on Biomedical Imaging - 2012, May 2012, Barcelona, Spain. 2012. 〈hal-00662776〉

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