Fundamental and clinical neuroscience has benefited tremendously from the development
of automated computational analyses. In excess of 600 human neuroimaging papers using …

A major attraction of voxel-based morphometry (VBM) is that it allows researchers to explore
large datasets with minimal human intervention. However, the validity and sensitivity of the …

Voxel-based morphometry (VBM) is a widely applied method in computational
neurosciences but it is currently recommended to compare only data collected at a single …

Voxel-based morphometry (VBM) is an automated statistical technique used to detect
regional differences in tissue density and tissue amount based on spatially standardized …

A variety of voxel-based morphometric analysis methods have been adopted by the
neuroimaging community in the recent years. In this commentary we describe why voxel …

Voxel-based morphometry (VBM) is a popular method for probing inter-group differences in
brain morphology. Variation in the detailed implementation of the algorithm, however, will …

Regional manual volumetry is the gold standard of in vivo neuroanatomy, but is labor-
intensive, can be imperfectly reliable, and allows for measuring limited number of regions …

Voxel-based Morphometry (VBM) is a widely used automated technique for the analysis of
neuroanatomical images. Despite its popularity within the neuroimaging community, there …

The identification of structural changes in the brain on magnetic resonance imaging (MRI)
scans is increasingly important in the study of neurological and psychiatric diseases. MRI …

Voxel Based Morphometry (VBM) studies typically involve a comparison between groups of
individuals; this approach however does not allow inferences to be made at the level of the …