Ridgway, G.R.;
Omar, R.;
Ourselin, S.;
Hill, D.L.G.;
Warren, J.D.;
Fox, N.C.;
(2009)
Issues with threshold masking in Voxel-based morphometry of atrophied brains.
NeuroImage
, 44
(1)
pp. 99-111.
10.1016/j.neuroimage.2008.08.045.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Issues with threshold masking in Voxel-based morphometry of atrophied brains |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.neuroimage.2008.08.045 |
| Publisher version: | http://dx.doi.org/10.1016/j.neuroimage.2008.08.045 |
| Language: | English |
| Keywords: | Computational anatomy; voxel based morphometry; Alzheimer’s disease; threshold masking; analysis mask |
| UCL classification: | UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/13060 |
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