title: A new cortical surface parcellation model and its automatic implementation.
abstract: In this paper, we present an original method that aims at parcellating the cortical surface in regions functionally meaningful, from individual anatomy. The parcellation is obtained using an anatomically constrained surface-based coordinate system from which we define a complete partition of the surface. The aim of our method is to exhibit a new way to describe the cortical surface organization, in both anatomical and functional terms. The method is described together with results applied to a functional somatotopy experiments.
authors.affiliation: Laboratoire LSIS, UMR 6168, CNRS, Marseille, France.
authors.forename: Cédric
authors.initials: C
authors.lastname: Clouchoux
authors.forename: Olivier
authors.initials: O
authors.lastname: Coulon
authors.forename: Jean-Luc
authors.initials: JL
authors.lastname: Anton
authors.forename: Jean-François
authors.initials: JF
authors.lastname: Mangin
authors.forename: Jean
authors.initials: J
authors.lastname: Régis
mesh_terms: D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D002540:Cerebral Cortex / Q000033:anatomy & histology* / Q000502:physiology*; D003198:Computer Simulation; D005073:Evoked Potentials, Somatosensory / Q000502:physiology; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008959:Models, Neurological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity