Voxel-based morphometry

John Ashburner
Institute of Neurology

At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the regional amounts of grey matter between two groups of subjects. The procedure is relatively
straight-forward, and involves spatially normalizing high resolution images from all the subjects in the study into the same
stereotactic space. This is followed by segmenting the grey matter from the spatially normalized images, correcting the grey matter
segments for volumetric changes incurred during the spatial normalization, and smoothing. Voxel-wise parametric statistical tests are performed which compare the smoothed grey-matter images
from the two groups. Corrections for multiple comparisons are made using the theory of Gaussian random fields.

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