Computational neuroanatomy: new perspectives for neuroradiology

Citation
Cd. Good et al., Computational neuroanatomy: new perspectives for neuroradiology, REV NEUROL, 157(8-9), 2001, pp. 797-805
Citations number
43
Categorie Soggetti
Neurology,"Neurosciences & Behavoir
Journal title
REVUE NEUROLOGIQUE
ISSN journal
00353787 → ACNP
Volume
157
Issue
8-9
Year of publication
2001
Part
1
Pages
797 - 805
Database
ISI
SICI code
0035-3787(200109)157:8-9<797:CNNPFN>2.0.ZU;2-D
Abstract
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.