Relaxometry and brain myelin quantification with synthetic MRI in MS subtypes and their associations with spinal cord atrophy

•Synthetic MR was able to quantify differences on MVF, R1, R2 and PD between patients with MS and CS.•Intracranial MVF has a greater impact on spinal cord volume loss compared to BPF or total brain lesion load.•MUCCA was associated with supratentorial demyelination as a result of diffuse disease act...

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Published inNeuroImage clinical Vol. 36; p. 103166
Main Authors Ladopoulos, Theodoros, Matusche, Britta, Bellenberg, Barbara, Heuser, Florian, Gold, Ralf, Lukas, Carsten, Schneider, Ruth
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.01.2022
Elsevier
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ISSN2213-1582
2213-1582
DOI10.1016/j.nicl.2022.103166

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Abstract •Synthetic MR was able to quantify differences on MVF, R1, R2 and PD between patients with MS and CS.•Intracranial MVF has a greater impact on spinal cord volume loss compared to BPF or total brain lesion load.•MUCCA was associated with supratentorial demyelination as a result of diffuse disease activity.•Alterations in R1, R2 and PD in adjacent infratentorial ROIs were associated with spinal cord atrophy. Immune-mediated demyelination and neurodegeneration are pathophysiological hallmarks of Multiple Sclerosis (MS) and main drivers of disease related disability. The principal method for evaluating qualitatively demyelinating events in the clinical context is contrast-weighted magnetic resonance imaging (MRI). Moreover, advanced MRI sequences provide reliable quantification of brain myelin offering new opportunities to study tissue pathology in vivo. Towards neurodegenerative aspects of the disease, spinal cord atrophy – besides brain atrophy – is a powerful and validated predictor of disease progression. The etiology of spinal cord volume loss is still a matter of research, as it remains unclear whether the impact of local lesion pathology or the interaction with supra- and infratentorial axonal degeneration and demyelination of the long descending and ascending fiber tracts are the determining factors. Quantitative synthetic MR using a multiecho acquisition of saturation recovery pulse sequence provides fast automatic brain tissue and myelin volumetry based on R1 and R2 relaxation rates and proton density quantification, making it a promising modality for application in the clinical routine. In this cross sectional study a total of 91 MS patients and 31 control subjects were included to investigate group differences of global and regional measures of brain myelin and relaxation rates, in different MS subtypes, using QRAPMASTER sequence and SyMRI postprocessing software. Furthermore, we examined associations between these quantitative brain parameters and spinal cord atrophy to draw conclusions about possible pathophysiological relationships. Intracranial myelin volume fraction of the global brain exhibited statistically significant differences between control subjects (10.4%) and MS patients (RRMS 9.4%, PMS 8.1%). In a LASSO regression analysis with total brain lesion load, intracranial myelin volume fraction and brain parenchymal fraction, the intracranial myelin volume fraction was the variable with the highest impact on spinal cord atrophy (standardized coefficient 4.52). Regional supratentorial MRI metrics showed altered average myelin volume fraction, R1, R2 and proton density in MS patients compared to controls most pronounced in PMS. Interestingly, quantitative MRI parameters in supratentorial regions showed strong associations with upper cord atrophy, suggesting an important role of brain diffuse demyelination on spinal cord pathology possibly in the context of global disease activity. R1, R2 or proton density of the thalamus, cerebellum and brainstem correlated with upper cervical cord atrophy, probably reflecting the direct functional connection between these brain structures and the spinal cord as well as the effects of retrograde and anterograde axonal degeneration. By using Synthetic MR-derived myelin volume fraction, we were able to effectively detect significant differences of myelination in relapsing and progressive MS subtypes. Total intracranial brain myelin volume fraction seemed to predict spinal cord volume loss better than brain atrophy or total lesion load. Furthermore, demyelination in highly myelinated supratentorial regions, as an indicator of diffuse disease activity, as well as alterations of relaxation parameters in adjacent infratentorial and midbrain areas were strongly associated with upper cervical cord atrophy.
AbstractList •Synthetic MR was able to quantify differences on MVF, R1, R2 and PD between patients with MS and CS.•Intracranial MVF has a greater impact on spinal cord volume loss compared to BPF or total brain lesion load.•MUCCA was associated with supratentorial demyelination as a result of diffuse disease activity.•Alterations in R1, R2 and PD in adjacent infratentorial ROIs were associated with spinal cord atrophy. Immune-mediated demyelination and neurodegeneration are pathophysiological hallmarks of Multiple Sclerosis (MS) and main drivers of disease related disability. The principal method for evaluating qualitatively demyelinating events in the clinical context is contrast-weighted magnetic resonance imaging (MRI). Moreover, advanced MRI sequences provide reliable quantification of brain myelin offering new opportunities to study tissue pathology in vivo. Towards neurodegenerative aspects of the disease, spinal cord atrophy – besides brain atrophy – is a powerful and validated predictor of disease progression. The etiology of spinal cord volume loss is still a matter of research, as it remains unclear whether the impact of local lesion pathology or the interaction with supra- and infratentorial axonal degeneration and demyelination of the long descending and ascending fiber tracts are the determining factors. Quantitative synthetic MR using a multiecho acquisition of saturation recovery pulse sequence provides fast automatic brain tissue and myelin volumetry based on R1 and R2 relaxation rates and proton density quantification, making it a promising modality for application in the clinical routine. In this cross sectional study a total of 91 MS patients and 31 control subjects were included to investigate group differences of global and regional measures of brain myelin and relaxation rates, in different MS subtypes, using QRAPMASTER sequence and SyMRI postprocessing software. Furthermore, we examined associations between these quantitative brain parameters and spinal cord atrophy to draw conclusions about possible pathophysiological relationships. Intracranial myelin volume fraction of the global brain exhibited statistically significant differences between control subjects (10.4%) and MS patients (RRMS 9.4%, PMS 8.1%). In a LASSO regression analysis with total brain lesion load, intracranial myelin volume fraction and brain parenchymal fraction, the intracranial myelin volume fraction was the variable with the highest impact on spinal cord atrophy (standardized coefficient 4.52). Regional supratentorial MRI metrics showed altered average myelin volume fraction, R1, R2 and proton density in MS patients compared to controls most pronounced in PMS. Interestingly, quantitative MRI parameters in supratentorial regions showed strong associations with upper cord atrophy, suggesting an important role of brain diffuse demyelination on spinal cord pathology possibly in the context of global disease activity. R1, R2 or proton density of the thalamus, cerebellum and brainstem correlated with upper cervical cord atrophy, probably reflecting the direct functional connection between these brain structures and the spinal cord as well as the effects of retrograde and anterograde axonal degeneration. By using Synthetic MR-derived myelin volume fraction, we were able to effectively detect significant differences of myelination in relapsing and progressive MS subtypes. Total intracranial brain myelin volume fraction seemed to predict spinal cord volume loss better than brain atrophy or total lesion load. Furthermore, demyelination in highly myelinated supratentorial regions, as an indicator of diffuse disease activity, as well as alterations of relaxation parameters in adjacent infratentorial and midbrain areas were strongly associated with upper cervical cord atrophy.
Immune-mediated demyelination and neurodegeneration are pathophysiological hallmarks of Multiple Sclerosis (MS) and main drivers of disease related disability. The principal method for evaluating qualitatively demyelinating events in the clinical context is contrast-weighted magnetic resonance imaging (MRI). Moreover, advanced MRI sequences provide reliable quantification of brain myelin offering new opportunities to study tissue pathology in vivo. Towards neurodegenerative aspects of the disease, spinal cord atrophy – besides brain atrophy – is a powerful and validated predictor of disease progression. The etiology of spinal cord volume loss is still a matter of research, as it remains unclear whether the impact of local lesion pathology or the interaction with supra- and infratentorial axonal degeneration and demyelination of the long descending and ascending fiber tracts are the determining factors.Quantitative synthetic MR using a multiecho acquisition of saturation recovery pulse sequence provides fast automatic brain tissue and myelin volumetry based on R1 and R2 relaxation rates and proton density quantification, making it a promising modality for application in the clinical routine. In this cross sectional study a total of 91 MS patients and 31 control subjects were included to investigate group differences of global and regional measures of brain myelin and relaxation rates, in different MS subtypes, using QRAPMASTER sequence and SyMRI postprocessing software. Furthermore, we examined associations between these quantitative brain parameters and spinal cord atrophy to draw conclusions about possible pathophysiological relationships.Intracranial myelin volume fraction of the global brain exhibited statistically significant differences between control subjects (10.4%) and MS patients (RRMS 9.4%, PMS 8.1%). In a LASSO regression analysis with total brain lesion load, intracranial myelin volume fraction and brain parenchymal fraction, the intracranial myelin volume fraction was the variable with the highest impact on spinal cord atrophy (standardized coefficient 4.52). Regional supratentorial MRI metrics showed altered average myelin volume fraction, R1, R2 and proton density in MS patients compared to controls most pronounced in PMS. Interestingly, quantitative MRI parameters in supratentorial regions showed strong associations with upper cord atrophy, suggesting an important role of brain diffuse demyelination on spinal cord pathology possibly in the context of global disease activity. R1, R2 or proton density of the thalamus, cerebellum and brainstem correlated with upper cervical cord atrophy, probably reflecting the direct functional connection between these brain structures and the spinal cord as well as the effects of retrograde and anterograde axonal degeneration.By using Synthetic MR-derived myelin volume fraction, we were able to effectively detect significant differences of myelination in relapsing and progressive MS subtypes. Total intracranial brain myelin volume fraction seemed to predict spinal cord volume loss better than brain atrophy or total lesion load. Furthermore, demyelination in highly myelinated supratentorial regions, as an indicator of diffuse disease activity, as well as alterations of relaxation parameters in adjacent infratentorial and midbrain areas were strongly associated with upper cervical cord atrophy.
• Synthetic MR was able to quantify differences on MVF, R1, R2 and PD between patients with MS and CS. • Intracranial MVF has a greater impact on spinal cord volume loss compared to BPF or total brain lesion load. • MUCCA was associated with supratentorial demyelination as a result of diffuse disease activity. • Alterations in R1, R2 and PD in adjacent infratentorial ROIs were associated with spinal cord atrophy. Immune-mediated demyelination and neurodegeneration are pathophysiological hallmarks of Multiple Sclerosis (MS) and main drivers of disease related disability. The principal method for evaluating qualitatively demyelinating events in the clinical context is contrast-weighted magnetic resonance imaging (MRI). Moreover, advanced MRI sequences provide reliable quantification of brain myelin offering new opportunities to study tissue pathology in vivo. Towards neurodegenerative aspects of the disease, spinal cord atrophy – besides brain atrophy – is a powerful and validated predictor of disease progression. The etiology of spinal cord volume loss is still a matter of research, as it remains unclear whether the impact of local lesion pathology or the interaction with supra- and infratentorial axonal degeneration and demyelination of the long descending and ascending fiber tracts are the determining factors. Quantitative synthetic MR using a multiecho acquisition of saturation recovery pulse sequence provides fast automatic brain tissue and myelin volumetry based on R1 and R2 relaxation rates and proton density quantification, making it a promising modality for application in the clinical routine. In this cross sectional study a total of 91 MS patients and 31 control subjects were included to investigate group differences of global and regional measures of brain myelin and relaxation rates, in different MS subtypes, using QRAPMASTER sequence and SyMRI postprocessing software. Furthermore, we examined associations between these quantitative brain parameters and spinal cord atrophy to draw conclusions about possible pathophysiological relationships. Intracranial myelin volume fraction of the global brain exhibited statistically significant differences between control subjects (10.4%) and MS patients (RRMS 9.4%, PMS 8.1%). In a LASSO regression analysis with total brain lesion load, intracranial myelin volume fraction and brain parenchymal fraction, the intracranial myelin volume fraction was the variable with the highest impact on spinal cord atrophy (standardized coefficient 4.52). Regional supratentorial MRI metrics showed altered average myelin volume fraction, R1, R2 and proton density in MS patients compared to controls most pronounced in PMS. Interestingly, quantitative MRI parameters in supratentorial regions showed strong associations with upper cord atrophy, suggesting an important role of brain diffuse demyelination on spinal cord pathology possibly in the context of global disease activity. R1, R2 or proton density of the thalamus, cerebellum and brainstem correlated with upper cervical cord atrophy, probably reflecting the direct functional connection between these brain structures and the spinal cord as well as the effects of retrograde and anterograde axonal degeneration. By using Synthetic MR-derived myelin volume fraction, we were able to effectively detect significant differences of myelination in relapsing and progressive MS subtypes. Total intracranial brain myelin volume fraction seemed to predict spinal cord volume loss better than brain atrophy or total lesion load. Furthermore, demyelination in highly myelinated supratentorial regions, as an indicator of diffuse disease activity, as well as alterations of relaxation parameters in adjacent infratentorial and midbrain areas were strongly associated with upper cervical cord atrophy.
Highlights•Synthetic MR was able to quantify differences on MVF, R1, R2 and PD between patients with MS and CS. •Intracranial MVF has a greater impact on spinal cord volume loss compared to BPF or total brain lesion load. •MUCCA was associated with supratentorial demyelination as a result of diffuse disease activity. •Alterations in R1, R2 and PD in adjacent infratentorial ROIs were associated with spinal cord atrophy.
Immune-mediated demyelination and neurodegeneration are pathophysiological hallmarks of Multiple Sclerosis (MS) and main drivers of disease related disability. The principal method for evaluating qualitatively demyelinating events in the clinical context is contrast-weighted magnetic resonance imaging (MRI). Moreover, advanced MRI sequences provide reliable quantification of brain myelin offering new opportunities to study tissue pathology in vivo. Towards neurodegenerative aspects of the disease, spinal cord atrophy - besides brain atrophy - is a powerful and validated predictor of disease progression. The etiology of spinal cord volume loss is still a matter of research, as it remains unclear whether the impact of local lesion pathology or the interaction with supra- and infratentorial axonal degeneration and demyelination of the long descending and ascending fiber tracts are the determining factors. Quantitative synthetic MR using a multiecho acquisition of saturation recovery pulse sequence provides fast automatic brain tissue and myelin volumetry based on R1 and R2 relaxation rates and proton density quantification, making it a promising modality for application in the clinical routine. In this cross sectional study a total of 91 MS patients and 31 control subjects were included to investigate group differences of global and regional measures of brain myelin and relaxation rates, in different MS subtypes, using QRAPMASTER sequence and SyMRI postprocessing software. Furthermore, we examined associations between these quantitative brain parameters and spinal cord atrophy to draw conclusions about possible pathophysiological relationships. Intracranial myelin volume fraction of the global brain exhibited statistically significant differences between control subjects (10.4%) and MS patients (RRMS 9.4%, PMS 8.1%). In a LASSO regression analysis with total brain lesion load, intracranial myelin volume fraction and brain parenchymal fraction, the intracranial myelin volume fraction was the variable with the highest impact on spinal cord atrophy (standardized coefficient 4.52). Regional supratentorial MRI metrics showed altered average myelin volume fraction, R1, R2 and proton density in MS patients compared to controls most pronounced in PMS. Interestingly, quantitative MRI parameters in supratentorial regions showed strong associations with upper cord atrophy, suggesting an important role of brain diffuse demyelination on spinal cord pathology possibly in the context of global disease activity. R1, R2 or proton density of the thalamus, cerebellum and brainstem correlated with upper cervical cord atrophy, probably reflecting the direct functional connection between these brain structures and the spinal cord as well as the effects of retrograde and anterograde axonal degeneration. By using Synthetic MR-derived myelin volume fraction, we were able to effectively detect significant differences of myelination in relapsing and progressive MS subtypes. Total intracranial brain myelin volume fraction seemed to predict spinal cord volume loss better than brain atrophy or total lesion load. Furthermore, demyelination in highly myelinated supratentorial regions, as an indicator of diffuse disease activity, as well as alterations of relaxation parameters in adjacent infratentorial and midbrain areas were strongly associated with upper cervical cord atrophy.Immune-mediated demyelination and neurodegeneration are pathophysiological hallmarks of Multiple Sclerosis (MS) and main drivers of disease related disability. The principal method for evaluating qualitatively demyelinating events in the clinical context is contrast-weighted magnetic resonance imaging (MRI). Moreover, advanced MRI sequences provide reliable quantification of brain myelin offering new opportunities to study tissue pathology in vivo. Towards neurodegenerative aspects of the disease, spinal cord atrophy - besides brain atrophy - is a powerful and validated predictor of disease progression. The etiology of spinal cord volume loss is still a matter of research, as it remains unclear whether the impact of local lesion pathology or the interaction with supra- and infratentorial axonal degeneration and demyelination of the long descending and ascending fiber tracts are the determining factors. Quantitative synthetic MR using a multiecho acquisition of saturation recovery pulse sequence provides fast automatic brain tissue and myelin volumetry based on R1 and R2 relaxation rates and proton density quantification, making it a promising modality for application in the clinical routine. In this cross sectional study a total of 91 MS patients and 31 control subjects were included to investigate group differences of global and regional measures of brain myelin and relaxation rates, in different MS subtypes, using QRAPMASTER sequence and SyMRI postprocessing software. Furthermore, we examined associations between these quantitative brain parameters and spinal cord atrophy to draw conclusions about possible pathophysiological relationships. Intracranial myelin volume fraction of the global brain exhibited statistically significant differences between control subjects (10.4%) and MS patients (RRMS 9.4%, PMS 8.1%). In a LASSO regression analysis with total brain lesion load, intracranial myelin volume fraction and brain parenchymal fraction, the intracranial myelin volume fraction was the variable with the highest impact on spinal cord atrophy (standardized coefficient 4.52). Regional supratentorial MRI metrics showed altered average myelin volume fraction, R1, R2 and proton density in MS patients compared to controls most pronounced in PMS. Interestingly, quantitative MRI parameters in supratentorial regions showed strong associations with upper cord atrophy, suggesting an important role of brain diffuse demyelination on spinal cord pathology possibly in the context of global disease activity. R1, R2 or proton density of the thalamus, cerebellum and brainstem correlated with upper cervical cord atrophy, probably reflecting the direct functional connection between these brain structures and the spinal cord as well as the effects of retrograde and anterograde axonal degeneration. By using Synthetic MR-derived myelin volume fraction, we were able to effectively detect significant differences of myelination in relapsing and progressive MS subtypes. Total intracranial brain myelin volume fraction seemed to predict spinal cord volume loss better than brain atrophy or total lesion load. Furthermore, demyelination in highly myelinated supratentorial regions, as an indicator of diffuse disease activity, as well as alterations of relaxation parameters in adjacent infratentorial and midbrain areas were strongly associated with upper cervical cord atrophy.
ArticleNumber 103166
Author Bellenberg, Barbara
Matusche, Britta
Gold, Ralf
Lukas, Carsten
Schneider, Ruth
Ladopoulos, Theodoros
Heuser, Florian
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Cites_doi 10.1007/s00330-011-2336-7
10.1016/S1474-4422(17)30470-2
10.5603/PJNNS.a2020.0036
10.3389/fneur.2020.575611
10.3389/fneur.2016.00016
10.1016/j.jneuroim.2006.11.015
10.1111/j.2517-6161.1996.tb02080.x
10.1007/s00234-020-02401-3
10.1097/RMR.0b013e31821e56d8
10.1016/j.neuroimage.2011.09.015
10.1016/j.neuroimage.2007.07.049
10.1097/00001756-200303030-00026
10.1177/1352458508098270
10.1148/radiol.13122566
10.1148/rg.261055134
10.3389/fimmu.2018.03116
10.3174/ajnr.A4501
10.1038/s41598-018-28852-6
10.1002/hbm.20725
10.3174/ajnr.A5168
10.1016/j.msard.2014.11.002
10.1007/s00415-017-8537-5
10.1093/brain/123.9.1845
10.1212/WNL.0b013e318236ef0e
10.1016/S0010-9452(08)70650-6
10.1016/S0022-510X(99)00277-4
10.1212/WNL.0b013e31821f46b8
10.1016/j.msard.2015.04.003
10.3174/ajnr.A3503
10.1111/jon.12553
10.1148/radiol.2522081399
10.1523/JNEUROSCI.0479-18.2018
10.1002/nbm.4118
10.1002/mrm.21635
10.1002/dneu.22552
10.1016/j.nicl.2021.102680
10.1002/ana.22521
10.1016/j.nicl.2019.101849
10.1136/jnnp-2014-308021
10.1016/j.nic.2008.09.007
10.2463/mrms.mp.2018-0144
10.3174/ajnr.A3262
10.1002/mrm.21165
10.1177/1756285613478870
10.3389/fnana.2021.725731
10.1111/j.1471-4159.1958.tb12607.x
10.1016/j.msard.2021.103331
10.1016/j.neuroimage.2011.11.070
10.1002/ana.25705
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Keywords RRMS
PPMS
iMVF
MRI
Myelin imaging
Multiple Sclerosis
aMVF
QRAPMASTER
WM
CSF
Spinal cord atrophy
MUCCA
EDSS
GMF
SPMS
GM
MS
DGM
NAWM
ROI
Relaxation times
CS
WMF
PMS
Synthetic MR
BPF
MVF
ICV
Multiple sclerosis
mean upper cervical cord area
control subjects
grey matter fraction
expanded disability status scale
secondary progressive multiple sclerosis
relapsing remitting multiple sclerosis
intracranial myelin volume fraction
progressive multiple sclerosis
primary progressive multiple sclerosis
quantification of relaxation times and proton density by multi-echo acquisition of a saturation recovery using turbo spin-echo readout
cerebrospinal fluid
myelin volume fraction
magnetic resonance imaging
normal appearing white matter
average myelin volume fraction
white matter
grey matter
white matter fraction
deep grey matter
intracranial volume
region of interest
brain parenchymal fraction
Language English
License This is an open access article under the CC BY license.
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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These authors contributed equally to the publication.
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References Casserly, Seyman, Alcaide-Leon, Guenette, Lyons, Sankar, Svendrovski, Baral, Oh (b0035) 2018; 28
Khalil, Langkammer, Ropele, Petrovic, Wallner-Blazek, Loitfelder, Jehna, Bachmaier, Schmidt, Enzinger, Fuchs, Fazekas (b0105) 2011; 77
McGowan, Patel (b0145) 2000; 172
Zhuo, Gullapalli (b0250) 2006; 26
Cappelle, Pareto, Tintore (b0030) 2020; 62
Zivadinov, Bergsland, Dolezal, Hussein, Seidl, Dwyer, Vaneckova, Krasensky, Potts, Kalincik, Havrdová, Horáková (b0255) 2013; 34
Jasek, Smigielski, Siger (b0090) 2020; 54
Lukas, Knol, Sombekke, Bellenberg, Hahn, Popescu, Weier, Radue, Gass, Kappos, Naegelin, Uitdehaag, Geurts, Barkhof, Vrenken (b0135) 2015; 86
Kolind, Matthews, Johansen-Berg, Leite, Williams, Deoni, Palace (b0110) 2012; 60
Hagiwara, Hori, Kamagata, Warntjes, Matsuyoshi, Nakazawa, Ueda, Andica, Koshino, Maekawa, Irie, Takamura, Kumamaru, Abe, Aoki (b0065) 2018; 8
Warntjes, Leinhard, West, Lundberg (b0225) 2008; 60
Ouellette, Mangeat, Polyak, Warntjes, Forslin, Bergendal, Plattén, Uppman, Treaba, Cohen‐Adad, Piehl, Kristoffersen Wiberg, Fredrikson, Mainero, Granberg (b0160) 2020; 87
Campanholo, Pitombeira, Rimkus, Mendes, Apóstolos-Pereira, Busatto Filho, Callegaro, Buchpiguel, Duran, De Paula Faria (b0025) 2022; 57
Larson, Burnison, Brown (b0120) 2002; 38
Moll, Rietsch, Thomas, Ransohoff, Lee, Fox, Chang, Ransohoff, Fisher (b0155) 2011; 70
Bellenberg, Schneider, Weiler, Suchan, Haghikia, Hoffjan, Gold, Köster, Lukas (b0010) 2015; 4
Rocca, Horsfield, Sala, Copetti, Valsasina, Mesaros, Martinelli, Caputo, Stosic-Opincal, Drulovic, Comi, Filippi (b0175) 2011; 76
Ceccarelli, Rocca, Valsasina, Rodegher, Pagani, Falini, Comi, Filippi (b0040) 2009; 30
MacKay, Vavasour, Rauscher, Kolind, Mädler, Moore, Traboulsee, Li, Laule (b0140) 2009; 19
Mina, Azodi, Dubuche, Andrada, Osuorah, Ohayon, Cortese, Wu, Johnson, Reich, Nair, Jacobson (b0150) 2021; 30
Warntjes, Persson, Berge, Zech (b0230) 2017; 38
Schmidt, Pongratz, Küster, Meier, Wuerfel, Lukas, Bellenberg, Zipp, Groppa, Sämann, Weber, Gaser, Franke, Bussas, Kirschke, Zimmer, Hemmer, Mühlau (b0180) 2019; 23
West, Warntjes, Lundberg (b0240) 2012; 22
Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. Fsl. Neuroimage 2012;62(2):782-90. 10.1016/j.neuroimage.2011.09.015.
Reich, Smith, Zackowski, Gordon-Lipkin, Jones, Farrell, Mori, van Zijl, Calabresi (b0170) 2007; 38
Peterson, Fujinami (b0165) 2007; 184
Bernitsas, Bao, Seraji-Bozorgzad, Chorostecki, Santiago, Tselis, Caon, Zak, Millis, Khan (b0015) 2015; 4
Lukas, Sombekke, Bellenberg, Hahn, Popescu, Bendfeldt, Radue, Gass, Borgwardt, Kappos, Naegelin, Knol, Polman, Geurts, Barkhof, Vrenken (b0130) 2013; 269
Harrow-Mortelliti M, Reddy V, Jimsheleishvili G. Physiology, Spinal Cord. StatPearls. Treasure Island (FL)2021.
Lassmann (b0125) 2018; 9
Thompson, Banwell, Barkhof, Carroll, Coetzee, Comi, Correale, Fazekas, Filippi, Freedman, Fujihara, Galetta, Hartung, Kappos, Lublin, Marrie, Miller, Miller, Montalban, Mowry, Sorensen, Tintoré, Traboulsee, Trojano, Uitdehaag, Vukusic, Waubant, Weinshenker, Reingold, Cohen (b0195) 2018; 17
Chougar, Hagiwara, Takano, Andica, Cohen-Adad, Warntjes, Maekawa, Hori, Koshino, Nakazawa, Abe, Aoki (b0045) 2020; 19
Deoni (b0050) 2010; 21
Kassubek, Tumani, Ecker, Kurt, Ludolph, Juengling (b0100) 2003; 14
Blystad, Håkansson, Tisell, Ernerudh, Smedby, Lundberg, Larsson (b0020) 2016; 37
Aquino, Bizzi, Grisoli, Garavaglia, Bruzzone, Nardocci, Savoiardo, Chiapparini (b0005) 2009; 252
Evangelou, Konz, Esiri, Smith, Palace, Matthews (b0055) 2000; 123
Hagström, Schneider, Bellenberg, Salmen, Weiler, Köster, Gold, Lukas (b0070) 2017; 264
Warntjes, Engstrom, Tisell, Lundberg (b0220) 2016; 7
Tedeschi, Dinacci, Comerci, Lavorgna, Savettieri, Quattrone, Livrea, Patti, Brescia Morra, Servillo, Orefice, Paciello, Prinster, Coniglio, Bonavita, Di Costanzo, Bellacosa, Valentino, Quarantelli, Brunetti, Salemi, D’Amelio, Simone, Salvatore, Bonavita, Alfano (b0190) 2009; 15
Evangelou, DeLuca, Owens, Esiri (b0060) 2005; 128
Weeda, Pruis, Westerveld, Brouwer, Bellenberg, Barkhof, Vrenken, Lukas, Schneider, Pouwels (b0235) 2020; 11
Kumar VJ, Scheffler K, Hagberg GE, Grodd W. Quantitative Susceptibility Mapping of the Basal Ganglia and Thalamus at 9.4 Tesla. Front Neuroanat 2021;15:725731. 10.3389/fnana.2021.725731.
Warntjes, Dahlqvist, Lundberg (b0215) 2007; 57
Straub, Knowles, Flassbeck, Steiger, Ladd, Gizewski (b0185) 2019; 32
Tillema, Pirko (b0205) 2013; 6
Wolff, Vann (b0245) 2019; 39
Heath, Hurley, Johansen-Berg, Sampaio-Baptista (b0085) 2018; 78
Tibshirani (b0200) 1996; 58
Hallgren, Sourander (b0075) 1958; 3
Vågberg, Lindqvist, Ambarki, Warntjes, Sundström, Birgander, Svenningsson (b0210) 2013; 34
Evangelou (10.1016/j.nicl.2022.103166_b0055) 2000; 123
Vågberg (10.1016/j.nicl.2022.103166_b0210) 2013; 34
Deoni (10.1016/j.nicl.2022.103166_b0050) 2010; 21
Warntjes (10.1016/j.nicl.2022.103166_b0230) 2017; 38
Bellenberg (10.1016/j.nicl.2022.103166_b0010) 2015; 4
10.1016/j.nicl.2022.103166_b0095
Warntjes (10.1016/j.nicl.2022.103166_b0225) 2008; 60
Tibshirani (10.1016/j.nicl.2022.103166_b0200) 1996; 58
Zivadinov (10.1016/j.nicl.2022.103166_b0255) 2013; 34
McGowan (10.1016/j.nicl.2022.103166_b0145) 2000; 172
West (10.1016/j.nicl.2022.103166_b0240) 2012; 22
Hallgren (10.1016/j.nicl.2022.103166_b0075) 1958; 3
Tillema (10.1016/j.nicl.2022.103166_b0205) 2013; 6
Heath (10.1016/j.nicl.2022.103166_b0085) 2018; 78
Kolind (10.1016/j.nicl.2022.103166_b0110) 2012; 60
Lukas (10.1016/j.nicl.2022.103166_b0135) 2015; 86
Khalil (10.1016/j.nicl.2022.103166_b0105) 2011; 77
Blystad (10.1016/j.nicl.2022.103166_b0020) 2016; 37
Moll (10.1016/j.nicl.2022.103166_b0155) 2011; 70
Ouellette (10.1016/j.nicl.2022.103166_b0160) 2020; 87
Rocca (10.1016/j.nicl.2022.103166_b0175) 2011; 76
Reich (10.1016/j.nicl.2022.103166_b0170) 2007; 38
Jasek (10.1016/j.nicl.2022.103166_b0090) 2020; 54
Peterson (10.1016/j.nicl.2022.103166_b0165) 2007; 184
MacKay (10.1016/j.nicl.2022.103166_b0140) 2009; 19
Chougar (10.1016/j.nicl.2022.103166_b0045) 2020; 19
Warntjes (10.1016/j.nicl.2022.103166_b0220) 2016; 7
Aquino (10.1016/j.nicl.2022.103166_b0005) 2009; 252
Wolff (10.1016/j.nicl.2022.103166_b0245) 2019; 39
Weeda (10.1016/j.nicl.2022.103166_b0235) 2020; 11
Tedeschi (10.1016/j.nicl.2022.103166_b0190) 2009; 15
10.1016/j.nicl.2022.103166_b0080
Schmidt (10.1016/j.nicl.2022.103166_b0180) 2019; 23
Hagiwara (10.1016/j.nicl.2022.103166_b0065) 2018; 8
Mina (10.1016/j.nicl.2022.103166_b0150) 2021; 30
Lassmann (10.1016/j.nicl.2022.103166_b0125) 2018; 9
10.1016/j.nicl.2022.103166_b0115
Larson (10.1016/j.nicl.2022.103166_b0120) 2002; 38
Cappelle (10.1016/j.nicl.2022.103166_b0030) 2020; 62
Lukas (10.1016/j.nicl.2022.103166_b0130) 2013; 269
Zhuo (10.1016/j.nicl.2022.103166_b0250) 2006; 26
Ceccarelli (10.1016/j.nicl.2022.103166_b0040) 2009; 30
Warntjes (10.1016/j.nicl.2022.103166_b0215) 2007; 57
Bernitsas (10.1016/j.nicl.2022.103166_b0015) 2015; 4
Campanholo (10.1016/j.nicl.2022.103166_b0025) 2022; 57
Evangelou (10.1016/j.nicl.2022.103166_b0060) 2005; 128
Kassubek (10.1016/j.nicl.2022.103166_b0100) 2003; 14
Straub (10.1016/j.nicl.2022.103166_b0185) 2019; 32
Thompson (10.1016/j.nicl.2022.103166_b0195) 2018; 17
Casserly (10.1016/j.nicl.2022.103166_b0035) 2018; 28
Hagström (10.1016/j.nicl.2022.103166_b0070) 2017; 264
References_xml – volume: 17
  start-page: 162
  year: 2018
  end-page: 173
  ident: b0195
  article-title: Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria
  publication-title: Lancet Neurol.
– volume: 15
  start-page: 204
  year: 2009
  end-page: 211
  ident: b0190
  article-title: Brain atrophy evolution and lesion load accrual in multiple sclerosis: a 2-year follow-up study
  publication-title: Mult. Scler.
– volume: 23
  start-page: 101849
  year: 2019
  ident: b0180
  article-title: Automated segmentation of changes in FLAIR-hyperintense white matter lesions in multiple sclerosis on serial magnetic resonance imaging
  publication-title: Neuroimage Clin.
– volume: 6
  start-page: 249
  year: 2013
  end-page: 268
  ident: b0205
  article-title: Neuroradiological evaluation of demyelinating disease
  publication-title: Ther. Adv. Neurol. Disord.
– volume: 37
  start-page: 94
  year: 2016
  end-page: 100
  ident: b0020
  article-title: Quantitative MRI for Analysis of Active Multiple Sclerosis Lesions without Gadolinium-Based Contrast Agent
  publication-title: AJNR Am. J. Neuroradiol.
– volume: 30
  start-page: 102680
  year: 2021
  ident: b0150
  article-title: Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability
  publication-title: Neuroimage Clin
– volume: 264
  start-page: 1402
  year: 2017
  end-page: 1412
  ident: b0070
  article-title: Relevance of early cervical cord volume loss in the disease evolution of clinically isolated syndrome and early multiple sclerosis: a 2-year follow-up study
  publication-title: J. Neurol.
– volume: 128
  start-page: 29
  year: 2005
  end-page: 34
  ident: b0060
  article-title: Pathological study of spinal cord atrophy in multiple sclerosis suggests limited role of local lesions
  publication-title: Brain
– volume: 78
  start-page: 136
  year: 2018
  end-page: 151
  ident: b0085
  article-title: Advances in noninvasive myelin imaging
  publication-title: Dev. Neurobiol.
– volume: 30
  start-page: 3009
  year: 2009
  end-page: 3019
  ident: b0040
  article-title: A multiparametric evaluation of regional brain damage in patients with primary progressive multiple sclerosis
  publication-title: Hum. Brain Mapp.
– reference: Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. Fsl. Neuroimage 2012;62(2):782-90. 10.1016/j.neuroimage.2011.09.015.
– volume: 123
  start-page: 1845
  year: 2000
  end-page: 1849
  ident: b0055
  article-title: Regional axonal loss in the corpus callosum correlates with cerebral white matter lesion volume and distribution in multiple sclerosis
  publication-title: Brain
– reference: Harrow-Mortelliti M, Reddy V, Jimsheleishvili G. Physiology, Spinal Cord. StatPearls. Treasure Island (FL)2021.
– volume: 14
  start-page: 427
  year: 2003
  end-page: 430
  ident: b0100
  article-title: Age-related brain parenchymal fraction is significantly decreased in young multiple sclerosis patients: a quantitative MRI study
  publication-title: NeuroReport
– volume: 7
  start-page: 16
  year: 2016
  ident: b0220
  article-title: Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI
  publication-title: Front. Neurol.
– volume: 4
  start-page: 47
  year: 2015
  end-page: 51
  ident: b0015
  article-title: Spinal cord atrophy in multiple sclerosis and relationship with disability across clinical phenotypes
  publication-title: Mult. Scler. Relat. Disord.
– volume: 62
  start-page: 955
  year: 2020
  end-page: 964
  ident: b0030
  article-title: A validation study of manual atrophy measures in patients with Multiple Sclerosis
  publication-title: Neuroradiology
– volume: 77
  start-page: 1691
  year: 2011
  end-page: 1697
  ident: b0105
  article-title: Determinants of brain iron in multiple sclerosis: a quantitative 3T MRI study
  publication-title: Neurology
– volume: 60
  start-page: 320
  year: 2008
  end-page: 329
  ident: b0225
  article-title: Rapid magnetic resonance quantification on the brain: Optimization for clinical usage
  publication-title: Magn. Reson. Med.
– volume: 58
  start-page: 267
  year: 1996
  end-page: 288
  ident: b0200
  article-title: Regression shrinkage and selection via the Lasso
  publication-title: J. Royal Statist. Soc. B
– volume: 34
  start-page: 1931
  year: 2013
  end-page: 1939
  ident: b0255
  article-title: Evolution of cortical and thalamus atrophy and disability progression in early relapsing-remitting MS during 5 years
  publication-title: AJNR Am. J. Neuroradiol.
– volume: 38
  start-page: 1096
  year: 2017
  end-page: 1102
  ident: b0230
  article-title: Myelin Detection Using Rapid Quantitative MR Imaging Correlated to Macroscopically Registered Luxol Fast Blue-Stained Brain Specimens
  publication-title: AJNR Am. J. Neuroradiol.
– reference: Kumar VJ, Scheffler K, Hagberg GE, Grodd W. Quantitative Susceptibility Mapping of the Basal Ganglia and Thalamus at 9.4 Tesla. Front Neuroanat 2021;15:725731. 10.3389/fnana.2021.725731.
– volume: 86
  start-page: 410
  year: 2015
  end-page: 418
  ident: b0135
  article-title: Cervical spinal cord volume loss is related to clinical disability progression in multiple sclerosis
  publication-title: J. Neurol. Neurosurg. Psychiatry
– volume: 184
  start-page: 37
  year: 2007
  end-page: 44
  ident: b0165
  article-title: Inflammation, demyelination, neurodegeneration and neuroprotection in the pathogenesis of multiple sclerosis
  publication-title: J. Neuroimmunol.
– volume: 70
  start-page: 764
  year: 2011
  end-page: 773
  ident: b0155
  article-title: Multiple sclerosis normal-appearing white matter: pathology-imaging correlations
  publication-title: Ann. Neurol.
– volume: 57
  start-page: 103331
  year: 2022
  ident: b0025
  article-title: Myelin imaging measures as predictors of cognitive impairment in MS patients: A hybrid PET-MRI study
  publication-title: Mult. Scler. Relat. Disord.
– volume: 3
  start-page: 41
  year: 1958
  end-page: 51
  ident: b0075
  article-title: The effect of age on the non-haemin iron in the human brain
  publication-title: J. Neurochem.
– volume: 87
  start-page: 710
  year: 2020
  end-page: 724
  ident: b0160
  article-title: Validation of Rapid Magnetic Resonance Myelin Imaging in Multiple Sclerosis
  publication-title: Ann. Neurol.
– volume: 22
  start-page: 998
  year: 2012
  end-page: 1007
  ident: b0240
  article-title: Novel whole brain segmentation and volume estimation using quantitative MRI
  publication-title: Eur. Radiol.
– volume: 8
  year: 2018
  ident: b0065
  article-title: Myelin Measurement: Comparison Between Simultaneous Tissue Relaxometry, Magnetization Transfer Saturation Index, and T1w/T2w Ratio Methods
  publication-title: Sci. Rep.
– volume: 11
  year: 2020
  ident: b0235
  article-title: Damage in the Thalamocortical Tracts is Associated With Subsequent Thalamus Atrophy in Early Multiple Sclerosis
  publication-title: Front. Neurol.
– volume: 4
  start-page: 264
  year: 2015
  end-page: 272
  ident: b0010
  article-title: Cervical cord area is associated with infratentorial grey and white matter volume predominantly in relapsing-remitting multiple sclerosis: A study using semi-automated cord volumetry and voxel-based morphometry
  publication-title: Mult. Scler. Relat. Disord.
– volume: 76
  start-page: 2096
  year: 2011
  end-page: 2102
  ident: b0175
  article-title: A multicenter assessment of cervical cord atrophy among MS clinical phenotypes
  publication-title: Neurology
– volume: 9
  start-page: 3116
  year: 2018
  ident: b0125
  article-title: Pathogenic Mechanisms Associated With Different Clinical Courses of Multiple Sclerosis
  publication-title: Front. Immunol.
– volume: 39
  start-page: 3
  year: 2019
  end-page: 14
  ident: b0245
  article-title: The Cognitive Thalamus as a Gateway to Mental Representations
  publication-title: J. Neurosci.
– volume: 19
  start-page: 56
  year: 2020
  end-page: 63
  ident: b0045
  article-title: Signal Intensity within Cerebral Venous Sinuses on Synthetic MRI
  publication-title: Magn. Reson. Med. Sci.
– volume: 34
  start-page: 498
  year: 2013
  end-page: 504
  ident: b0210
  article-title: Automated determination of brain parenchymal fraction in multiple sclerosis
  publication-title: AJNR Am. J. Neuroradiol.
– volume: 32
  start-page: e4118
  year: 2019
  ident: b0185
  article-title: Mapping the human brainstem: Brain nuclei and fiber tracts at 3 T and 7 T
  publication-title: NMR Biomed.
– volume: 21
  start-page: 101
  year: 2010
  end-page: 113
  ident: b0050
  article-title: Quantitative relaxometry of the brain
  publication-title: Top. Magn. Reson. Imaging
– volume: 252
  start-page: 165
  year: 2009
  end-page: 172
  ident: b0005
  article-title: Age-related iron deposition in the basal ganglia: quantitative analysis in healthy subjects
  publication-title: Radiology
– volume: 19
  start-page: 1
  year: 2009
  end-page: 26
  ident: b0140
  article-title: MR relaxation in multiple sclerosis
  publication-title: Neuroimaging Clin. N. Am.
– volume: 38
  start-page: 201
  year: 2002
  end-page: 214
  ident: b0120
  article-title: Callosal function in multiple sclerosis: bimanual motor coordination
  publication-title: Cortex
– volume: 38
  start-page: 271
  year: 2007
  end-page: 279
  ident: b0170
  article-title: Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis
  publication-title: Neuroimage
– volume: 60
  start-page: 263
  year: 2012
  end-page: 270
  ident: b0110
  article-title: Myelin water imaging reflects clinical variability in multiple sclerosis
  publication-title: Neuroimage
– volume: 57
  start-page: 528
  year: 2007
  end-page: 537
  ident: b0215
  article-title: Novel method for rapid, simultaneous T1, T2*, and proton density quantification
  publication-title: Magn. Reson. Med.
– volume: 26
  start-page: 275
  year: 2006
  end-page: 297
  ident: b0250
  article-title: AAPM/RSNA physics tutorial for residents: MR artifacts, safety, and quality control
  publication-title: Radiographics
– volume: 269
  start-page: 542
  year: 2013
  end-page: 552
  ident: b0130
  article-title: Relevance of spinal cord abnormalities to clinical disability in multiple sclerosis: MR imaging findings in a large cohort of patients
  publication-title: Radiology
– volume: 28
  start-page: 556
  year: 2018
  end-page: 586
  ident: b0035
  article-title: Spinal Cord Atrophy in Multiple Sclerosis: A Systematic Review and Meta-Analysis
  publication-title: J. Neuroimaging
– volume: 54
  start-page: 265
  year: 2020
  end-page: 271
  ident: b0090
  article-title: Late onset multiple sclerosis - multiparametric MRI characteristics
  publication-title: Neurol. Neurochir. Pol.
– volume: 172
  start-page: S40
  year: 2000
  end-page: S42
  ident: b0145
  article-title: Technical issues for MRI examination of the posterior fossa
  publication-title: J. Neurol. Sci.
– volume: 22
  start-page: 998
  issue: 5
  year: 2012
  ident: 10.1016/j.nicl.2022.103166_b0240
  article-title: Novel whole brain segmentation and volume estimation using quantitative MRI
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-011-2336-7
– volume: 17
  start-page: 162
  issue: 2
  year: 2018
  ident: 10.1016/j.nicl.2022.103166_b0195
  article-title: Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria
  publication-title: Lancet Neurol.
  doi: 10.1016/S1474-4422(17)30470-2
– volume: 54
  start-page: 265
  issue: 3
  year: 2020
  ident: 10.1016/j.nicl.2022.103166_b0090
  article-title: Late onset multiple sclerosis - multiparametric MRI characteristics
  publication-title: Neurol. Neurochir. Pol.
  doi: 10.5603/PJNNS.a2020.0036
– volume: 11
  year: 2020
  ident: 10.1016/j.nicl.2022.103166_b0235
  article-title: Damage in the Thalamocortical Tracts is Associated With Subsequent Thalamus Atrophy in Early Multiple Sclerosis
  publication-title: Front. Neurol.
  doi: 10.3389/fneur.2020.575611
– volume: 7
  start-page: 16
  year: 2016
  ident: 10.1016/j.nicl.2022.103166_b0220
  article-title: Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI
  publication-title: Front. Neurol.
  doi: 10.3389/fneur.2016.00016
– volume: 184
  start-page: 37
  issue: 1–2
  year: 2007
  ident: 10.1016/j.nicl.2022.103166_b0165
  article-title: Inflammation, demyelination, neurodegeneration and neuroprotection in the pathogenesis of multiple sclerosis
  publication-title: J. Neuroimmunol.
  doi: 10.1016/j.jneuroim.2006.11.015
– volume: 58
  start-page: 267
  issue: 1
  year: 1996
  ident: 10.1016/j.nicl.2022.103166_b0200
  article-title: Regression shrinkage and selection via the Lasso
  publication-title: J. Royal Statist. Soc. B
  doi: 10.1111/j.2517-6161.1996.tb02080.x
– volume: 62
  start-page: 955
  issue: 8
  year: 2020
  ident: 10.1016/j.nicl.2022.103166_b0030
  article-title: A validation study of manual atrophy measures in patients with Multiple Sclerosis
  publication-title: Neuroradiology
  doi: 10.1007/s00234-020-02401-3
– volume: 21
  start-page: 101
  issue: 2
  year: 2010
  ident: 10.1016/j.nicl.2022.103166_b0050
  article-title: Quantitative relaxometry of the brain
  publication-title: Top. Magn. Reson. Imaging
  doi: 10.1097/RMR.0b013e31821e56d8
– ident: 10.1016/j.nicl.2022.103166_b0095
  doi: 10.1016/j.neuroimage.2011.09.015
– volume: 38
  start-page: 271
  issue: 2
  year: 2007
  ident: 10.1016/j.nicl.2022.103166_b0170
  article-title: Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2007.07.049
– volume: 14
  start-page: 427
  issue: 3
  year: 2003
  ident: 10.1016/j.nicl.2022.103166_b0100
  article-title: Age-related brain parenchymal fraction is significantly decreased in young multiple sclerosis patients: a quantitative MRI study
  publication-title: NeuroReport
  doi: 10.1097/00001756-200303030-00026
– volume: 15
  start-page: 204
  issue: 2
  year: 2009
  ident: 10.1016/j.nicl.2022.103166_b0190
  article-title: Brain atrophy evolution and lesion load accrual in multiple sclerosis: a 2-year follow-up study
  publication-title: Mult. Scler.
  doi: 10.1177/1352458508098270
– volume: 269
  start-page: 542
  issue: 2
  year: 2013
  ident: 10.1016/j.nicl.2022.103166_b0130
  article-title: Relevance of spinal cord abnormalities to clinical disability in multiple sclerosis: MR imaging findings in a large cohort of patients
  publication-title: Radiology
  doi: 10.1148/radiol.13122566
– volume: 26
  start-page: 275
  issue: 1
  year: 2006
  ident: 10.1016/j.nicl.2022.103166_b0250
  article-title: AAPM/RSNA physics tutorial for residents: MR artifacts, safety, and quality control
  publication-title: Radiographics
  doi: 10.1148/rg.261055134
– volume: 9
  start-page: 3116
  year: 2018
  ident: 10.1016/j.nicl.2022.103166_b0125
  article-title: Pathogenic Mechanisms Associated With Different Clinical Courses of Multiple Sclerosis
  publication-title: Front. Immunol.
  doi: 10.3389/fimmu.2018.03116
– volume: 37
  start-page: 94
  issue: 1
  year: 2016
  ident: 10.1016/j.nicl.2022.103166_b0020
  article-title: Quantitative MRI for Analysis of Active Multiple Sclerosis Lesions without Gadolinium-Based Contrast Agent
  publication-title: AJNR Am. J. Neuroradiol.
  doi: 10.3174/ajnr.A4501
– volume: 8
  issue: 1
  year: 2018
  ident: 10.1016/j.nicl.2022.103166_b0065
  article-title: Myelin Measurement: Comparison Between Simultaneous Tissue Relaxometry, Magnetization Transfer Saturation Index, and T1w/T2w Ratio Methods
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-018-28852-6
– volume: 30
  start-page: 3009
  issue: 9
  year: 2009
  ident: 10.1016/j.nicl.2022.103166_b0040
  article-title: A multiparametric evaluation of regional brain damage in patients with primary progressive multiple sclerosis
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.20725
– volume: 38
  start-page: 1096
  issue: 6
  year: 2017
  ident: 10.1016/j.nicl.2022.103166_b0230
  article-title: Myelin Detection Using Rapid Quantitative MR Imaging Correlated to Macroscopically Registered Luxol Fast Blue-Stained Brain Specimens
  publication-title: AJNR Am. J. Neuroradiol.
  doi: 10.3174/ajnr.A5168
– ident: 10.1016/j.nicl.2022.103166_b0080
– volume: 4
  start-page: 47
  issue: 1
  year: 2015
  ident: 10.1016/j.nicl.2022.103166_b0015
  article-title: Spinal cord atrophy in multiple sclerosis and relationship with disability across clinical phenotypes
  publication-title: Mult. Scler. Relat. Disord.
  doi: 10.1016/j.msard.2014.11.002
– volume: 264
  start-page: 1402
  issue: 7
  year: 2017
  ident: 10.1016/j.nicl.2022.103166_b0070
  article-title: Relevance of early cervical cord volume loss in the disease evolution of clinically isolated syndrome and early multiple sclerosis: a 2-year follow-up study
  publication-title: J. Neurol.
  doi: 10.1007/s00415-017-8537-5
– volume: 123
  start-page: 1845
  issue: Pt 9
  year: 2000
  ident: 10.1016/j.nicl.2022.103166_b0055
  article-title: Regional axonal loss in the corpus callosum correlates with cerebral white matter lesion volume and distribution in multiple sclerosis
  publication-title: Brain
  doi: 10.1093/brain/123.9.1845
– volume: 77
  start-page: 1691
  issue: 18
  year: 2011
  ident: 10.1016/j.nicl.2022.103166_b0105
  article-title: Determinants of brain iron in multiple sclerosis: a quantitative 3T MRI study
  publication-title: Neurology
  doi: 10.1212/WNL.0b013e318236ef0e
– volume: 38
  start-page: 201
  issue: 2
  year: 2002
  ident: 10.1016/j.nicl.2022.103166_b0120
  article-title: Callosal function in multiple sclerosis: bimanual motor coordination
  publication-title: Cortex
  doi: 10.1016/S0010-9452(08)70650-6
– volume: 172
  start-page: S40
  issue: Suppl 1
  year: 2000
  ident: 10.1016/j.nicl.2022.103166_b0145
  article-title: Technical issues for MRI examination of the posterior fossa
  publication-title: J. Neurol. Sci.
  doi: 10.1016/S0022-510X(99)00277-4
– volume: 76
  start-page: 2096
  issue: 24
  year: 2011
  ident: 10.1016/j.nicl.2022.103166_b0175
  article-title: A multicenter assessment of cervical cord atrophy among MS clinical phenotypes
  publication-title: Neurology
  doi: 10.1212/WNL.0b013e31821f46b8
– volume: 4
  start-page: 264
  issue: 3
  year: 2015
  ident: 10.1016/j.nicl.2022.103166_b0010
  article-title: Cervical cord area is associated with infratentorial grey and white matter volume predominantly in relapsing-remitting multiple sclerosis: A study using semi-automated cord volumetry and voxel-based morphometry
  publication-title: Mult. Scler. Relat. Disord.
  doi: 10.1016/j.msard.2015.04.003
– volume: 34
  start-page: 1931
  issue: 10
  year: 2013
  ident: 10.1016/j.nicl.2022.103166_b0255
  article-title: Evolution of cortical and thalamus atrophy and disability progression in early relapsing-remitting MS during 5 years
  publication-title: AJNR Am. J. Neuroradiol.
  doi: 10.3174/ajnr.A3503
– volume: 28
  start-page: 556
  issue: 6
  year: 2018
  ident: 10.1016/j.nicl.2022.103166_b0035
  article-title: Spinal Cord Atrophy in Multiple Sclerosis: A Systematic Review and Meta-Analysis
  publication-title: J. Neuroimaging
  doi: 10.1111/jon.12553
– volume: 252
  start-page: 165
  issue: 1
  year: 2009
  ident: 10.1016/j.nicl.2022.103166_b0005
  article-title: Age-related iron deposition in the basal ganglia: quantitative analysis in healthy subjects
  publication-title: Radiology
  doi: 10.1148/radiol.2522081399
– volume: 39
  start-page: 3
  issue: 1
  year: 2019
  ident: 10.1016/j.nicl.2022.103166_b0245
  article-title: The Cognitive Thalamus as a Gateway to Mental Representations
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.0479-18.2018
– volume: 32
  start-page: e4118
  issue: 9
  year: 2019
  ident: 10.1016/j.nicl.2022.103166_b0185
  article-title: Mapping the human brainstem: Brain nuclei and fiber tracts at 3 T and 7 T
  publication-title: NMR Biomed.
  doi: 10.1002/nbm.4118
– volume: 60
  start-page: 320
  issue: 2
  year: 2008
  ident: 10.1016/j.nicl.2022.103166_b0225
  article-title: Rapid magnetic resonance quantification on the brain: Optimization for clinical usage
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.21635
– volume: 78
  start-page: 136
  issue: 2
  year: 2018
  ident: 10.1016/j.nicl.2022.103166_b0085
  article-title: Advances in noninvasive myelin imaging
  publication-title: Dev. Neurobiol.
  doi: 10.1002/dneu.22552
– volume: 30
  start-page: 102680
  year: 2021
  ident: 10.1016/j.nicl.2022.103166_b0150
  article-title: Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability
  publication-title: Neuroimage Clin
  doi: 10.1016/j.nicl.2021.102680
– volume: 70
  start-page: 764
  issue: 5
  year: 2011
  ident: 10.1016/j.nicl.2022.103166_b0155
  article-title: Multiple sclerosis normal-appearing white matter: pathology-imaging correlations
  publication-title: Ann. Neurol.
  doi: 10.1002/ana.22521
– volume: 23
  start-page: 101849
  year: 2019
  ident: 10.1016/j.nicl.2022.103166_b0180
  article-title: Automated segmentation of changes in FLAIR-hyperintense white matter lesions in multiple sclerosis on serial magnetic resonance imaging
  publication-title: Neuroimage Clin.
  doi: 10.1016/j.nicl.2019.101849
– volume: 86
  start-page: 410
  issue: 4
  year: 2015
  ident: 10.1016/j.nicl.2022.103166_b0135
  article-title: Cervical spinal cord volume loss is related to clinical disability progression in multiple sclerosis
  publication-title: J. Neurol. Neurosurg. Psychiatry
  doi: 10.1136/jnnp-2014-308021
– volume: 19
  start-page: 1
  issue: 1
  year: 2009
  ident: 10.1016/j.nicl.2022.103166_b0140
  article-title: MR relaxation in multiple sclerosis
  publication-title: Neuroimaging Clin. N. Am.
  doi: 10.1016/j.nic.2008.09.007
– volume: 19
  start-page: 56
  issue: 1
  year: 2020
  ident: 10.1016/j.nicl.2022.103166_b0045
  article-title: Signal Intensity within Cerebral Venous Sinuses on Synthetic MRI
  publication-title: Magn. Reson. Med. Sci.
  doi: 10.2463/mrms.mp.2018-0144
– volume: 34
  start-page: 498
  issue: 3
  year: 2013
  ident: 10.1016/j.nicl.2022.103166_b0210
  article-title: Automated determination of brain parenchymal fraction in multiple sclerosis
  publication-title: AJNR Am. J. Neuroradiol.
  doi: 10.3174/ajnr.A3262
– volume: 57
  start-page: 528
  issue: 3
  year: 2007
  ident: 10.1016/j.nicl.2022.103166_b0215
  article-title: Novel method for rapid, simultaneous T1, T2*, and proton density quantification
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.21165
– volume: 128
  start-page: 29
  issue: Pt 1
  year: 2005
  ident: 10.1016/j.nicl.2022.103166_b0060
  article-title: Pathological study of spinal cord atrophy in multiple sclerosis suggests limited role of local lesions
  publication-title: Brain
– volume: 6
  start-page: 249
  issue: 4
  year: 2013
  ident: 10.1016/j.nicl.2022.103166_b0205
  article-title: Neuroradiological evaluation of demyelinating disease
  publication-title: Ther. Adv. Neurol. Disord.
  doi: 10.1177/1756285613478870
– ident: 10.1016/j.nicl.2022.103166_b0115
  doi: 10.3389/fnana.2021.725731
– volume: 3
  start-page: 41
  issue: 1
  year: 1958
  ident: 10.1016/j.nicl.2022.103166_b0075
  article-title: The effect of age on the non-haemin iron in the human brain
  publication-title: J. Neurochem.
  doi: 10.1111/j.1471-4159.1958.tb12607.x
– volume: 57
  start-page: 103331
  year: 2022
  ident: 10.1016/j.nicl.2022.103166_b0025
  article-title: Myelin imaging measures as predictors of cognitive impairment in MS patients: A hybrid PET-MRI study
  publication-title: Mult. Scler. Relat. Disord.
  doi: 10.1016/j.msard.2021.103331
– volume: 60
  start-page: 263
  issue: 1
  year: 2012
  ident: 10.1016/j.nicl.2022.103166_b0110
  article-title: Myelin water imaging reflects clinical variability in multiple sclerosis
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2011.11.070
– volume: 87
  start-page: 710
  issue: 5
  year: 2020
  ident: 10.1016/j.nicl.2022.103166_b0160
  article-title: Validation of Rapid Magnetic Resonance Myelin Imaging in Multiple Sclerosis
  publication-title: Ann. Neurol.
  doi: 10.1002/ana.25705
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Snippet •Synthetic MR was able to quantify differences on MVF, R1, R2 and PD between patients with MS and CS.•Intracranial MVF has a greater impact on spinal cord...
Highlights•Synthetic MR was able to quantify differences on MVF, R1, R2 and PD between patients with MS and CS. •Intracranial MVF has a greater impact on...
Immune-mediated demyelination and neurodegeneration are pathophysiological hallmarks of Multiple Sclerosis (MS) and main drivers of disease related disability....
• Synthetic MR was able to quantify differences on MVF, R1, R2 and PD between patients with MS and CS. • Intracranial MVF has a greater impact on spinal cord...
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StartPage 103166
SubjectTerms Atrophy - pathology
Brain - diagnostic imaging
Brain - pathology
Cross-Sectional Studies
Humans
Magnetic Resonance Imaging - methods
MRI
Multiple Sclerosis
Multiple Sclerosis - diagnostic imaging
Multiple Sclerosis - pathology
Myelin imaging
Myelin Sheath - pathology
Protons
Radiology
Regular
Relaxation times
Spinal Cord - diagnostic imaging
Spinal Cord - pathology
Spinal cord atrophy
Synthetic MR
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Title Relaxometry and brain myelin quantification with synthetic MRI in MS subtypes and their associations with spinal cord atrophy
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Volume 36
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