SPANOL (SPectral ANalysis of Lobes): A Spectral Clustering Framework for Individual and Group Parcellation of Cortical Surfaces in Lobes

• Published in: Frontiers in neuroscience Vol. 12; p. 354
• Main Authors: Lefèvre, Julien, Pepe, Antonietta, Muscato, Jennifer, De Guio, Francois, Girard, Nadine, Auzias, Guillaume, Germanaud, David
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 31.05.2018; Frontiers; Frontiers Media S.A
• Subjects: Anatomy; Artificial intelligence; Brain architecture; Clustering; Cognitive science; Computational neuroscience; Cortex; cortical parcellation; fetal MRI; Fetuses; Fourier transforms; Geometry; group-wise analysis; Image processing; Labeling; Laplace-Beltrami operator; Machine learning; Magnetic resonance imaging; Medical imaging; Neural networks; Neuroimaging; Neuroscience; Ontogeny; Segmentation; spectral clustering; Structure-function relationships; France; fetal MRI; group-wise analysis; cortical parcellation; spectral clustering; Laplace-Beltrami operator; group-wise analysis Lefèvre et al SPANOL (SPectral ANalysis of Lobes)

Understanding the link between structure, function and development in the brain is a key topic in neuroimaging that benefits from the tremendous progress of multi-modal MRI and its computational analysis. It implies, , to be able to parcellate the brain volume or cortical surface into biologically r...