Computational neuroanatomy is emerging as an exciting new methodology to ch
aracterise shape and neuroanatomical configuration of different brains. It
encompasses a triad of techniques: Voxel-based morphometry (VBM), which com
pares neuroanatomical differences on a voxel by voxel basis, Deformation-ba
sed morphometry (DBM), which provides information about global differences
in brain shape and Tensor-based morphometry (TBM) which provides informatio
n about local shape differences. This review will describe the methodology
and clinical applications of these techniques.