PLoS ONE (Jan 2018)

Multi-parametric quantitative MRI reveals three different white matter subtypes.

  • Jack R Foucher,
  • Olivier Mainberger,
  • Julien Lamy,
  • Mathieu D Santin,
  • Alexandre Vignaud,
  • Mathilde M Roser,
  • Paulo L de Sousa

DOI
https://doi.org/10.1371/journal.pone.0196297
Journal volume & issue
Vol. 13, no. 6
p. e0196297

Abstract

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IntroductionMagnetic resonance imaging (MRI) shows slight spatial variations in brain white matter (WM). We used quantitative multi-parametric MRI to evaluate in what respect these inhomogeneities could correspond to WM subtypes with specific characteristics and spatial distribution.Materials and methodsTwenty-six controls (12 women, 38 ±9 Y) took part in a 60-min session on a 3T scanner measuring 7 parameters: R1 and R2, diffusion tensor imaging which allowed to measure Axial and Radial Diffusivity (AD, RD), magnetization transfer imaging which enabled to compute the Macromolecular Proton Fraction (MPF), and a susceptibility-weighted sequence which permitted to quantify R2* and magnetic susceptibility (χm). Spatial independent component analysis was used to identify WM subtypes with specific combination of quantitative parameters values.ResultsThree subtypes could be identified. t-WM (track) mostly mapped on well-formed projection and commissural tracts and came with high AD values (all p ConclusionsThus, f- and c-WMs were less structured, but more myelinated and probably more metabolically active regarding to their iron content than WM related to fasciculi (t-WM). As known WM bundles passed though different WM subtypes, myelination might not be uniform along the axons but rather follow a spatially consistent regional variability. Future studies might examine the reproducibility of this decomposition and how development and pathology differently affect each subtype.