title: MarsAtlas: A cortical parcellation atlas for functional mapping.
abstract: An open question in neuroimaging is how to develop anatomical brain atlases for the analysis of functional data. Here, we present a cortical parcellation model based on macroanatomical information and test its validity on visuomotor-related cortical functional networks. The parcellation model is based on a recently developed cortical parameterization method (Auzias et al., [2013]: IEEE Trans Med Imaging 32:873-887), called HIP-HOP. This method exploits a set of primary and secondary sulci to create an orthogonal coordinate system on the cortical surface. A natural parcellation scheme arises from the axes of the HIP-HOP model running along the fundus of selected sulci. The resulting parcellation scheme, called MarsAtlas, complies with dorsoventral/rostrocaudal direction fields and allows inter-subject matching. To test it for functional mapping, we analyzed a MEG dataset collected from human participants performing an arbitrary visuomotor mapping task. Single-trial high-gamma activity, HGA (60-120 Hz), was estimated using spectral analysis and beamforming techniques at cortical areas arising from a Talairach atlas (i.e., Brodmann areas) and MarsAtlas. Using both atlases, we confirmed that visuomotor associations involve an increase in HGA over the sensorimotor and fronto-parietal network, in addition to medial prefrontal areas. However, MarsAtlas provided: (1) crucial functional information along both the dorsolateral and rostrocaudal direction; (2) an increase in statistical significance. To conclude, our results suggest that the MarsAtlas is a valid anatomical atlas for functional mapping, and represents a potential anatomical framework for integration of functional data arising from multiple techniques such as MEG, intracranial EEG and fMRI.
authors.affiliation: Institut de Neurosciences de la Timone, UMR 7289, Aix Marseille Université, CNRS, Marseille, France.|Laboratoire des Sciences de l'Information et des Systèmes, UMR 7296, Aix Marseille Université, CNRS, Marseille, France.
authors.forename: Guillaume
authors.initials: G
authors.lastname: Auzias
authors.affiliation: Institut de Neurosciences de la Timone, UMR 7289, Aix Marseille Université, CNRS, Marseille, France.|Laboratoire des Sciences de l'Information et des Systèmes, UMR 7296, Aix Marseille Université, CNRS, Marseille, France.
authors.forename: Olivier
authors.initials: O
authors.lastname: Coulon
authors.affiliation: Institut de Neurosciences de la Timone, UMR 7289, Aix Marseille Université, CNRS, Marseille, France.
authors.forename: Andrea
authors.initials: A
authors.lastname: Brovelli
mesh_terms: D001271:Atlases as Topic; D001931:Brain Mapping / Q000379:methods; D002540:Cerebral Cortex / Q000033:anatomy & histology* / Q000502:physiology*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015225:Magnetoencephalography / Q000379:methods; D008297:Male; D010775:Photic Stimulation / Q000379:methods; D011597:Psychomotor Performance / Q000502:physiology*; D011897:Random Allocation; D011930:Reaction Time / Q000502:physiology; D055815:Young Adult
keywords: MEG; cortical parameterization; cortical parcellation; dorsoventral and rostrocaudal axes; functional segregation; gammaband neural activity; human brain atlas; visuomotor behaviors
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