4.7 Article

Issues with threshold masking in voxel-based morphometry of atrophied brains

Journal

NEUROIMAGE
Volume 44, Issue 1, Pages 99-111

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2008.08.045

Keywords

Computational anatomy; Voxel-based morphometry; Alzheimer's disease; Threshold masking; Analysis mask

Funding

  1. EPSRC
  2. Wellcome Trust Intermediate Clinical Fellowship
  3. UK Medical Research Council
  4. Dementia Research Centre is an Alzheimer's Research Trust Co- ordinating Centre
  5. UCLH/ UCL
  6. Department of Health's NIHR Biomedical Research Centres
  7. MRC [G0401247, G0601846] Funding Source: UKRI
  8. Medical Research Council [G0401247, G0601846] Funding Source: researchfish

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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 de. ning 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. (C) 2008 Elsevier Inc. All rights reserved.

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