Profilometry: A new statistical framework for the characterization of white matter pathways, with application to multiple sclerosis Academic Article uri icon

Overview

MeSH Major

  • Brain
  • Diffusion Magnetic Resonance Imaging
  • Multiple Sclerosis
  • White Matter

abstract

  • While progress has been made in both tract-profiling and metrics for white matter characterization, no single framework for a joint analysis of multimodality tract profiles accounting for age and gender is known to exist. The profilometry analysis and visualization appears to be a promising method to compare groups using a single score from MANCOVA while assessing the contribution of each metric with LDA. Hum Brain Mapp 37:989-1004, 2016. © 2015 Wiley Periodicals, Inc.

publication date

  • March 2016

Research

keywords

  • Academic Article

Identity

Language

  • eng

Digital Object Identifier (DOI)

  • 10.1002/hbm.23082

PubMed ID

  • 26667008

Additional Document Info

start page

  • 989

end page

  • 1004

volume

  • 37

number

  • 3