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Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis

O'Muircheartaigh, Jonathan ; Vavasour, Irene ; Ljungberg, Emil LU orcid ; Li, David K. B. ; Rauscher, Alexander ; Levesque, Victoria ; Garren, Hideki ; Clayton, David ; Tam, Roger and Traboulsee, Anthony , et al. (2019) In Human Brain Mapping 40(7). p.2104-2116
Abstract
Quantitative magnetic resonance imaging (MRI) techniques have been developed as imaging biomarkers, aiming to improve the specificity of MRI to underlying pathology compared to conventional weighted MRI. For assessing the integrity of white matter (WM), myelin, in particular, several techniques have been proposed and investigated individually. However, comparisons between these methods are lacking. In this study, we compared four established myelin-sensitive MRI techniques in 56 patients with relapsing–remitting multiple sclerosis (MS) and 38 healthy controls. We used T2-relaxation with combined GRadient And Spin Echoes (GRASE) to measure myelin water fraction (MWF-G), multi-component driven equilibrium single pulse observation of T1 and... (More)
Quantitative magnetic resonance imaging (MRI) techniques have been developed as imaging biomarkers, aiming to improve the specificity of MRI to underlying pathology compared to conventional weighted MRI. For assessing the integrity of white matter (WM), myelin, in particular, several techniques have been proposed and investigated individually. However, comparisons between these methods are lacking. In this study, we compared four established myelin-sensitive MRI techniques in 56 patients with relapsing–remitting multiple sclerosis (MS) and 38 healthy controls. We used T2-relaxation with combined GRadient And Spin Echoes (GRASE) to measure myelin water fraction (MWF-G), multi-component driven equilibrium single pulse observation of T1 and T2 (mcDESPOT) to measure MWF-D, magnetization-transfer imaging to measure magnetization-transfer ratio (MTR), and T1 relaxation to measure quantitative T1 (qT1). Using voxelwise Spearman correlations, we tested the correspondence of methods throughout the brain. All four methods showed associations that varied across tissue types; the highest correlations were found between MWF-D and qT1 (median ρ across tissue classes 0.8) and MWF-G and MWF-D (median ρ = 0.59). In eight WM tracts, all measures showed differences (p (Less)
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publishing date
type
Contribution to journal
publication status
published
subject
in
Human Brain Mapping
volume
40
issue
7
pages
2104 - 2116
publisher
Wiley-Blackwell
external identifiers
  • scopus:85060155011
ISSN
1065-9471
DOI
10.1002/hbm.24510
language
English
LU publication?
no
id
fe00839c-ab71-4b6c-b368-92f0ba581d00
date added to LUP
2023-05-01 09:07:54
date last changed
2023-06-12 09:30:39
@article{fe00839c-ab71-4b6c-b368-92f0ba581d00,
  abstract     = {{Quantitative magnetic resonance imaging (MRI) techniques have been developed as imaging biomarkers, aiming to improve the specificity of MRI to underlying pathology compared to conventional weighted MRI. For assessing the integrity of white matter (WM), myelin, in particular, several techniques have been proposed and investigated individually. However, comparisons between these methods are lacking. In this study, we compared four established myelin-sensitive MRI techniques in 56 patients with relapsing–remitting multiple sclerosis (MS) and 38 healthy controls. We used T2-relaxation with combined GRadient And Spin Echoes (GRASE) to measure myelin water fraction (MWF-G), multi-component driven equilibrium single pulse observation of T1 and T2 (mcDESPOT) to measure MWF-D, magnetization-transfer imaging to measure magnetization-transfer ratio (MTR), and T1 relaxation to measure quantitative T1 (qT1). Using voxelwise Spearman correlations, we tested the correspondence of methods throughout the brain. All four methods showed associations that varied across tissue types; the highest correlations were found between MWF-D and qT1 (median ρ across tissue classes 0.8) and MWF-G and MWF-D (median ρ = 0.59). In eight WM tracts, all measures showed differences (p}},
  author       = {{O'Muircheartaigh, Jonathan and Vavasour, Irene and Ljungberg, Emil and Li, David K. B. and Rauscher, Alexander and Levesque, Victoria and Garren, Hideki and Clayton, David and Tam, Roger and Traboulsee, Anthony and Kolind, Shannon}},
  issn         = {{1065-9471}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{7}},
  pages        = {{2104--2116}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Human Brain Mapping}},
  title        = {{Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis}},
  url          = {{http://dx.doi.org/10.1002/hbm.24510}},
  doi          = {{10.1002/hbm.24510}},
  volume       = {{40}},
  year         = {{2019}},
}