title: Probabilistic anatomo-functional parcellation of the cortex: how many regions?
abstract: Understanding brain structure and function entails the inclusion of anatomical and functional information in a common space, in order to study how these different informations relate to each other in a population of subjects. In this paper, we revisit the parcellation model and explicitly combine anatomical features, i.e. a segmentation of the cortex into gyri, with a functional information under the form of several cortical maps, which are used to further subdivide the gyri into functionally consistent regions. A probabilistic model is introduced, and the parcellation model is estimated using a Variational Bayes approach. The number of regions in the model is validated based on cross-validation. It is found that about 250 patches of cortex can be delineated both in the left and right hemisphere based on this procedure.
authors.affiliation: CEA Saclay, Neurospin/LNAO, Bât 145, 91191 Gif-sur-Yvette, France. alan.tucholka@cea.fr
authors.forename: Alan
authors.initials: A
authors.lastname: Tucholka
authors.forename: Bertrand
authors.initials: B
authors.lastname: Thirion
authors.forename: Matthieu
authors.initials: M
authors.lastname: Perrot
authors.forename: Philippe
authors.initials: P
authors.lastname: Pinel
authors.forename: Jean-François
authors.initials: JF
authors.lastname: Mangin
authors.forename: Jean-Baptiste
authors.initials: JB
authors.lastname: Poline
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001499:Bayes Theorem; D001921:Brain / Q000033:anatomy & histology*; D003627:Data Interpretation, Statistical; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity