Journal
NEUROIMAGE
Volume 26, Issue 2, Pages 600-608Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2005.02.005
Keywords
voxel-based morphometry; neurodegenerative disease; inter-group differences
Funding
- NIA NIH HHS [P50 AG016574-070004, AG11378, P50 AG016574, R37 AG011378, U01 AG006786-23, U01 AG006786, AG16574, AG06786, R01 AG011378, R01 AG011378-15] Funding Source: Medline
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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 affect the apparent results of VBM analyses and in turn the inferences drawn about the anatomic expression of specific disease states. We qualitatively assessed group comparisons of 43 normal elderly control subjects and 51 patients with probable Alzheimer's disease, using five different VBM variations. Based on the known pathologic expression of the disease, we evaluated the biological plausibility of each. The use of a custom template and custom tissue class prior probability images (priors) produced inter-group comparison maps with greater biological plausibility than the use of the Montreal Neurological Institute (MNI) template and priors. We present a method for initializing the normalization to a custom template, and conclude that, when incorporated into the VBM processing chain, it yields the most biologically plausible inter-group differences of the five methods presented. (c) 2005 Elsevier Inc. All rights reserved.
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