Health effects of lesion localization in multiple sclerosis: Spatial registration and confounding adjustment

Ani Eloyan, Haochang Shou, Russell T. Shinohara, Elizabeth M. Sweeney, Mary Beth Nebel, Jennifer L. Cuzzocreo, Peter A. Calabresi, Daniel S. Reich, Martin A. Lindquist, Ciprian M. Crainiceanu

Research output: Contribution to journalArticle

Abstract

Brain lesion localization in multiple sclerosis (MS) is thought to be associated with the type and severity of adverse health effects. However, several factors hinder statistical analyses of such associations using large MRI datasets: 1) spatial registration algorithms developed for healthy individuals may be less effective on diseased brains and lead to different spatial distributions of lesions; 2) interpretation of results requires the careful selection of confounders; and 3) most approaches have focused on voxel-wise regression approaches. In this paper, we evaluated the performance of five registration algorithms and observed that conclusions regarding lesion localization can vary substantially with the choice of registration algorithm. Methods for dealing with confounding factors due to differences in disease duration and local lesion volume are introduced. Voxel-wise regression is then extended by the introduction of a metric that measures the distance between a patient-specific lesion mask and the population prevalence map.

Original languageEnglish (US)
Article numbere107263
JournalPloS one
Volume9
Issue number9
DOIs
StatePublished - Sep 18 2014

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ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

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