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Correction for intracranial volume in analysis of whole brain atrophy in multiple sclerosis: The proportion vs. residual method

  • SUNY Buffalo
  • Brigham and Women’s Hospital

Research output: Contribution to journalArticlepeer-review

172 Scopus citations

Abstract

Two techniques that correct (normalize) regional and whole brain volumes according to head size - the proportion method (tissue-to-intracranial volume ratio) and the residual method (regression-based predicted brain tissue volumes) - are used pervasively in neuroimaging research, but have received little critical evaluation or direct comparison. Using a quantitatively derived MRI data set of patients with multiple sclerosis (n = 18) and age-/sex-matched normal controls (n = 18), we introduced various types of error into estimates of intracranial volume (ICV) and absolute parenchymal volume (APV) to observe how this error affected the final outcome of normalized brain measures and their ability to detect group differences, as computed by a proportion (brain parenchymal fraction [BPF]) and residual method (predicted parenchymal volume [PPV]). The results indicated that systemic error in ICV and APV values considerably affected BPF means based on the proportion method, except with dependent-related systematic APV error, but essentially did not change statistical power associated with group differences in BPF. Random error altered BPF means to a much smaller extent, but was associated with moderate reductions in statistical power. On the other hand, PPV estimates based on the residual method were unaffected by these same ICV and APV errors, except with dependent-related systematic APV error, and were not associated with reductions in statistical power. Our findings suggest that head size correction of brain regions with the residual method generally may provide advantages over the proportion method.

Original languageEnglish
Pages (from-to)1732-1743
Number of pages12
JournalNeuroImage
Volume22
Issue number4
DOIs
StatePublished - Aug 2004

Keywords

  • Brain atrophy
  • Head size correction
  • MRI
  • Multiple sclerosis
  • Statistical parametric mapping

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