Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis
(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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- author
- publishing date
- 2019-05-01
- 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}}, }