Comparison of different methodological implementations of voxel-based morphometry in neurodegenerative disease

Matthew L. Senjem, Jeffrey L. Gunter, Maria M. Shiung, Ronald C. Petersen, Clifford R. Jack

Research output: Contribution to journalArticle

133 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)600-608
Number of pages9
JournalNeuroImage
Volume26
Issue number2
DOIs
StatePublished - Jun 1 2005

Keywords

  • Inter-group differences
  • Neurodegenerative disease
  • Voxel-based morphometry

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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