title: Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps.
abstract: Detection of activity from the primary visual cortex is a difficult challenge to magneto-encephalography (MEG) source imaging techniques: the geometry of the visual cortex is intricate, with structured visual field maps extending deeper along the calcarine fissure. This questions the very sensitivity of MEG to the corresponding neural responses of visual stimuli and the usage of MEG source imaging for innovative retinotopic explorations. In this context, we compare two imaging models of MEG generators in realistic simulations of activations within the visual cortex. Localization and spatial extent of neural activity in the visual cortex were extracted from retinotopic maps obtained in fMRI. We prove that the suggested approaches are robust and succeed in accurately recovering the activation patterns with satisfactory match with fMRI results. These results suggest that fast retinotopic exploration of the visual cortex could be obtained from MEG as a complementary alternative to more standard fMRI approaches. The excellent time resolution of MEG imaging further opens interesting perspectives on the temporal and spectral processes sustained by the human visual system.
authors.affiliation: Odyssée Project Team (ENPC - ENS - INRIA). alexandre.gramfort@sophia.inria.fr
authors.forename: Alexandre
authors.initials: A
authors.lastname: Gramfort
authors.forename: Benoit
authors.initials: B
authors.lastname: Cottereau
authors.forename: Maureen
authors.initials: M
authors.lastname: Clerc
authors.forename: Bertrand
authors.initials: B
authors.lastname: Thirion
authors.forename: Sylvain
authors.initials: S
authors.lastname: Baillet
mesh_terms: D001931:Brain Mapping; D002540:Cerebral Cortex / Q000033:anatomy & histology / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015225:Magnetoencephalography; D008954:Models, Biological; D009043:Motor Activity; D014793:Visual Cortex / Q000502:physiology*; D014794:Visual Fields; D014795:Visual Pathways