Background: The relationship of gray and white matter atrophy in multiple sclerosis (MS) to neuropsychological and neuropsychiatric impairment has not been examined.
Methods: In 40 patients with MS and 15 age-/sex-matched normal controls, the authors used SPM99 to obtain whole brain normalized volumes of gray and white matter, as well as measured conventional lesion burden (total T1 hypointense and FLAIR hyperintense lesion volume). The whole brain segmentation was corrected for misclassification related to MS brain lesions.
We used SPM99 to obtain normalized whole brain volumes of gray matter, white matter, and total parenchyma in patients with multiple sclerosis (MS) (n = 41) and age-/sex-matched normal controls (n = 18). As SPM99's automated gray/white matter volumes were significantly influenced by tissue compartment misclassification due to the effect of MS-related brain lesions, we corrected these automated volumes for misclassification before performing our primary analyses. For MS patients (disease duration = 9.
View Article and Find Full Text PDFTwo 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.
View Article and Find Full Text PDFBackground And Purpose: Semiautomated and automated methods are used to measure whole-brain atrophy in multiple sclerosis (MS), but their comparative reliability, sensitivity, and validity are unknown.
Methods: Brain parenchymal fraction (BPF) was measured in patients with MS (n = 52) and healthy control subjects (n = 17) by four methods: semiautomated or automated segmentation and 2D or 3D pulse sequences. Linear measures of atrophy, whole-brain lesion volumes, and clinical data were used to explore validity.