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There is great interest in using automatic computational neuroanatomy tools to study ageing and neurodegenerative disease. Voxel-based morphometry (VBM) is one of the most widely used of such techniques. VBM performs voxel-wise statistical analysis of smoothed spatially normalised segmented Magnetic Resonance Images. There are several reasons why the analysis should include only voxels within a certain mask. We show that one of the most commonly used strategies for defining this mask runs a major risk of excluding from the analysis precisely those voxels where the subjects' brains were most vulnerable to atrophy. We investigate the issues related to mask construction, and recommend the use of alternative strategies which greatly decrease this danger of false negatives.

Original publication

DOI

10.1016/j.neuroimage.2008.08.045

Type

Journal article

Journal

Neuroimage

Publication Date

01/01/2009

Volume

44

Pages

99 - 111

Keywords

Aged, Aging, Alzheimer Disease, Atrophy, Brain, Brain Mapping, Dementia, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Radionuclide Imaging