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Comprehensive functional mapping scheme for non-invasive primary sensorimotor cortex mapping.

par Bourguignon, Mathieu ;Jousmaki, Veikko ;Marty, Brice ;Wens, Vincent ;Op De Beeck, Marc ;Van Bogaert, Patrick ;Nouali, Mustapha ;Metens, Thierry ;Lubicz, Boris ;Lefranc, Florence ;Bruneau, Michael ;De Witte, Olivier ;Goldman, Serge ;De Tiege, Xavier
Référence Brain topography, 26, 3, page (511-523)
Publication Publié, 2013-07

Article révisé par les pairs

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Résumé :

We introduce a novel multimodal scheme for primary sensorimotor hand area (SM1ha) mapping integrating multiple functional indicators from functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG). Ten right-handed healthy subjects (19-33 years; 5 females, 5 males) and four patients (24-64 years; 2 females, 2 males) suffering from space-occupying brain lesion close to the central sulcus were studied. Functional indicators of the SM1ha were obtained from block-design fMRI motor protocol, and six MEG protocols: somatosensory evoked fields to electrical median-nerve stimulation, mu-rhythm suppression (~10 and ~20 Hz), corticomuscular coherence, and corticokinematic coherence with and without finger contacts. To assess the spatial spread of the functional indicators, their coordinates were subjected to principal component analysis to produce a centered ellipsoid with axis along principal components. Five to seven functional indicators were obtained for each participant. In all participants, the ellipsoid co-localized with the anatomical SM1ha. In healthy subjects, 50-100 % of functional indicators were located within 10 mm from the center of the ellipsoid. In patients, 17-100 % of functional indicators were located within 10 mm from the center of the ellipsoid. In conclusion, the multimodal scheme proposed led to a functional mapping of SM1ha that co-localized with anatomical SM1ha in all participants. The spread of the SM1ha functional indicators in some patients with brain lesions highlights the potential benefit of the proposed multimodal approach to assess the reliability of the non-invasive SM1ha mapping.