title: Computational neuroanatomy: new perspectives for neuroradiology.
abstract: Computational neuroanatomy is emerging as an exciting new methodology to characterise shape and neuroanatomical configuration of different brains. It encompasses a triad of techniques: Voxel-based morphometry (VBM), which compares neuroanatomical differences on a voxel by voxel basis, Deformation-based morphometry (DBM), which provides information about global differences in brain shape and Tensor-based morphometry (TBM) which provides information about local shape differences. This review will describe the methodology and clinical applications of these techniques.
authors.affiliation: Wellcome Department of Cognitive Neurology, ION, UCL, London, UK.
authors.forename: C D
authors.initials: CD
authors.lastname: Good
authors.forename: J
authors.initials: J
authors.lastname: Ashburner
authors.forename: R S
authors.initials: RS
authors.lastname: Frackowiak
mesh_terms: D001921:Brain / Q000473:pathology*; D001927:Brain Diseases / Q000175:diagnosis / Q000473:pathology; D001931:Brain Mapping / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008432:Mathematical Computing