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Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla
Open accessAbstract
Previous authors have shown that the transverse relaxivity R(2)* and frequency shifts that characterize gradient echo signal decay in magnetic resonance imaging are closely associated with the distribution of iron and myelin in the brain's white matter. In multiple sclerosis, iron accumulation in brain tissue may reflect a multiplicity of pathological processes. Hence, iron may have the unique potential to serve as an in vivo magnetic resonance imaging tracer of disease pathology. To investigate the ability of iron in tracking multiple sclerosis-induced pathology by magnetic resonance imaging, we performed qualitative histopathological analysis of white matter lesions and normal-appearing white matter regions with variable appearance on gradient echo magnetic resonance imaging at 7 Tesla. The samples used for this study derive from two patients with multiple sclerosis and one non-multiple sclerosis donor. Magnetic resonance images were acquired using a whole body 7 Tesla magnetic resonance imaging scanner equipped with a 24-channel receive-only array designed for tissue imaging. A 3D multi-gradient echo sequence was obtained and quantitative R(2)* and phase maps were reconstructed. Immunohistochemical stainings for myelin and oligodendrocytes, microglia and macrophages, ferritin and ferritin light polypeptide were performed on 3- to 5-µm thick paraffin sections. Iron was detected with Perl's staining and 3,3'-diaminobenzidine-tetrahydrochloride enhanced Turnbull blue staining. In multiple sclerosis tissue, iron presence invariably matched with an increase in R(2)*. Conversely, R(2)* increase was not always associated with the presence of iron on histochemical staining. We interpret this finding as the effect of embedding, sectioning and staining procedures. These processes likely affected the histopathological analysis results but not the magnetic resonance imaging that was obtained before tissue manipulations. Several cellular sources of iron were identified. These sources included oligodendrocytes in normal-appearing white matter and activated macrophages/microglia at the edges of white matter lesions. Additionally, in white matter lesions, iron precipitation in aggregates typical of microbleeds was shown by the Perl's staining. Our combined imaging and pathological study shows that multi-gradient echo magnetic resonance imaging is a sensitive technique for the identification of iron in the brain tissue of patients with multiple sclerosis. However, magnetic resonance imaging-identified iron does not necessarily reflect pathology and may also be seen in apparently normal tissue. Iron identification by multi-gradient echo magnetic resonance imaging in diseased tissues can shed light on the pathological processes when coupled with topographical information and patient disease history.
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“However, degeneration of cells in the brain also result in the deposition of iron in the extracellular space, which then induces waves of oxidative stress (via Fenton chemistry) in these brain regions (Craelius et al., 1982; Bagnato et al., 2011).”
From The Role of Iron Regulation in Immunometabolism and Immune-Related Disease (2019) · cites this paper as Bagnato et al., 2011
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“In-vivo and post-mortem investigations suggest focal iron accumulation in the white matter in multiple sclerosis160,161,206 and focal iron accumulation in the cortex in amyotrophic lateral sclerosis207 co-localise with microglia (appendix).160,207”
From The role of iron in brain ageing and neurodegenerative disorders (2014) · cites this paper as [160]
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Cites
American Journal of Neuroradiology
(2020) · American Journal of Neuroradiology · doi:10.3174/ajnr · Cited by 2,468
Iron accumulation in Alzheimer disease is a source of redox-generated free radicals
Smith, M. A., Harris, P. L. R., Sayre, L. M., & Perry, G. L. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.18.9866 · Cited by 1,365
The Immunopathology of Multiple Sclerosis: An Overview
Lassmann, H., Brück, W., & Lucchinetti, C. F. (2007) · Brain Pathology · doi:10.1111/j.1750-3639.2007.00064.x · Cited by 1,182
High-field MRI of brain cortical substructure based on signal phase
Duyn, J. H., van Gelderen, P., Li, T., de Zwart, J. A., Koretsky, A. P., & Fukunaga, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610821104 · Cited by 641
Oligodendrocytes and myelination: The role of iron
Todorich, B., Pasquini, J. M., Garcia, C. I., Paez, P. M., & Connor, J. R. (2008) · Glia · doi:10.1002/glia.20784 · Cited by 615
Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data
Shmueli, K., de Zwart, J. A., van Gelderen, P., Li, T., Dodd, S. J., & Duyn, J. H. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22135 · Cited by 529
Immunopathology of secondary‐progressive multiple sclerosis
Prineas, J. W., Kwon, E. E., Cho, E., Sharer, L. R., Barnett, M. H., Oleszak, E. L., Hoffman, B. E., & Morgan, B. P. (2001) · Annals of Neurology · doi:10.1002/ana.1255 · Cited by 453
Diagnostic Criteria for Neuropathologic Assessment of Alzheimer’s Disease
Braak, H., & Braak, E. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00062-6 · Cited by 410
Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast
Fukunaga, M., Li, T.-Q., van Gelderen, P., de Zwart, J. A., Shmueli, K., Yao, B., Lee, J., Maric, D., Aronova, M. A., Zhang, G., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911177107 · Cited by 408
Gelman, N., Gorell, J. M., Barker, P. B., Savage, R. M., Spickler, E. M., Windham, J. P., & Knight, R. A. (1999) · Radiology · doi:10.1148/radiology.210.3.r99fe41759 · Cited by 373
Research works printed but not linked: 7
- Craelius, 1982, Archives of pathology & laboratory medicine, 106, 397
- Curnes, 1988, American Journal of Neuroradiology, 9, 1061
- 1964, Acta neurologica Scandinavica. Supplementum, 40, 9
- 2011, Neuroscience letters, 400, 36
- 2005, COOLEYS ANEMIA EIGHT SYMP, 1054, 379
- 1984, Archives of pathology, 108, 755
- 2010, PROC INTL SOC MAG RESON MED, 18, 5124
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Absinta, M., Maric, D., Gharagozloo, M., Garton, T., Smith, M. D., Jin, J., Fitzgerald, K. C., Song, A., Liu, P., Lin, J.-P., et al. (2021) · Nature · doi:10.1038/s41586-021-03892-7 · Cited by 768
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Friese, M. A., Schattling, B., & Fugger, L. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2014.37 · Cited by 628
Iron and neurodegeneration in the multiple sclerosis brain
Hametner, S., Wimmer, I., Haider, L., Pfeifenbring, S., Brück, W., & Lassmann, H. (2013) · Annals of Neurology · doi:10.1002/ana.23974 · Cited by 519
Association of Chronic Active Multiple Sclerosis Lesions With Disability In Vivo
Absinta, M., Sati, P., Masuzzo, F., Nair, G., Sethi, V., Kolb, H., Ohayon, J., Wu, T., Cortese, I. C. M., & Reich, D. S. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.2399 · Cited by 534
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Mezzaroba, L., Alfieri, D. F., Colado Simão, A. N., & Vissoci Reiche, E. M. (2019) · NeuroToxicology · doi:10.1016/j.neuro.2019.07.007 · Cited by 524
Association between pathological and MRI findings in multiple sclerosis
Filippi, M., Rocca, M. A., Barkhof, F., Brück, W., Chen, J. T., Comı, G., DeLuca, G. C., Stefano, N. D., Erickson, B. J., Evangelou, N., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70003-0 · Cited by 499
Slow expansion of multiple sclerosis iron rim lesions: pathology and 7 T magnetic resonance imaging
Dal-Bianco, A., Grabner, G., Kronnerwetter, C., Weber, M., Höftberger, R., Berger, T., Auff, E., Leutmezer, F., Trattnig, S., Lassmann, H., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-016-1636-z · Cited by 463
Self-citationon behalf of the MAGNIMS study group, Rovira, À., Wattjes, M. P., Tintoré, M., Tur, C., Yousry, T. A., Sormani, M. P., De Stefano, N., Filippi, M., Auger, C., et al. (2015) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.106 · Cited by 423
Haider, L., Simeonidou, C., Steinberger, G., Hametner, S., Grigoriadis, N., Deretzi, G., Kovács, G. G., Kutzelnigg, A., Lassmann, H., & Frischer, J. M. (2014) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2014-307712 · Cited by 365
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Pathology of multiple sclerosis and related inflammatory demyelinating diseases
Kutzelnigg, A., & Lassmann, H. (2014) · Handbook of clinical neurology · doi:10.1016/b978-0-444-52001-2.00002-9 · Cited by 315
Wang, Y., Spincemaille, P., Liu, Z., Dimov, A., Deh, K., Li, J., Zhang, Y., Yao, Y., Gillen, K. M., Wilman, A. H., et al. (2017) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25693 · Cited by 285
Visualization of nigrosome 1 and its loss in PD
Blazejewska, A. I., Schwarz, S. T., Pitiot, A., Stephenson, M. C., Lowe, J. S., Bajaj, N. P. S., Bowtell, R. W., Auer, D. P., & Gowland, P. A. (2013) · Neurology · doi:10.1212/wnl.0b013e31829e6fd2 · Cited by 269
Pathology and disease mechanisms in different stages of multiple sclerosis
Lassmann, H. (2013) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2013.05.010 · Cited by 224
Iron in multiple sclerosis: roles in neurodegeneration and repair
Stephenson, E. L., Nathoo, N., Mahjoub, Y., Dunn, J. F., & Yong, V. W. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2014.118 · Cited by 253
Pathogenesis of multiple sclerosis: insights from molecular and metabolic imaging
Ciccarelli, O., Barkhof, F., Bodini, B., Stefano, N. D., Golay, X., Nicolay, K., Pelletier, D., Pouwels, P. J. W., Smith, S. A., Wheeler‐Kingshott, C. A. M. G., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70101-2 · Cited by 253
Quantitative Susceptibility Mapping of Multiple Sclerosis Lesions at Various Ages
Chen, W., Gauthier, S. A., Gupta, A. K., Comunale, J. P., Liu, T., Wang, S., Pei, M., Pitt, D., & Wang, Y. (2013) · Radiology · doi:10.1148/radiol.13130353 · Cited by 236
Wisnieff, C., Ramanan, S., Olesik, J., Gauthier, S., Wang, Y., & Pitt, D. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25420 · Cited by 245
Long-term evolution of multiple sclerosis iron rim lesions in 7 T MRI
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Möller, H. E., Bossoni, L., Connor, J. R., Crichton, R. R., Does, M. D., Ward, R. J., Zecca, L., Zucca, F. A., & Ronen, I. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.03.009 · Cited by 207
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Duyn, J. H., & Schenck, J. F. (2016) · NMR in Biomedicine · doi:10.1002/nbm.3546 · Cited by 223
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Mehta, V. B., Pei, W., Yang, G., Li, S., Swamy, E., Boster, A. L., Schmalbrock, P., & Pitt, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057573 · Cited by 209
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Bagnato, F. R., Sati, P., Hemond, C. C., Elliott, C., Gauthier, S. A., Harrison, D. M., Mainero, C., Oh, J., Pitt, D., Shinohara, R. T., et al. (2024) · Brain · doi:10.1093/brain/awae013 · Cited by 207
Kaunzner, U. W., Kang, Y., Zhang, S., Morris, E., Yao, Y., Pandya, S., Hurtado Rua, S. M., Park, C., Gillen, K. M., Nguyen, T. D., et al. (2019) · Brain · doi:10.1093/brain/awy296 · Cited by 199
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Lassmann, H. (2014) · Glia · doi:10.1002/glia.22597 · Cited by 191
Self-citationKey clinical benefits of neuroimaging at 7 T
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Microglia in multiple sclerosis: protectors turn destroyers
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Shin, H., Lee, J., Yun, Y. H., Yoo, S. H., Jang, J., Oh, S., Nam, Y., Jung, S., Kim, S., Fukunaga, M., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118371 · Cited by 201
Absinta, M., Sati, P., Gaitán, M. I., Maggi, P., Cortese, I. C. M., Filippi, M., & Reich, D. S. (2013) · Annals of Neurology · doi:10.1002/ana.23959 · Cited by 165
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Yadav, S. K., Mindur, J. E., Ito, K., & Dhib-Jalbut, S. S. (2015) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000205 · Cited by 173
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Yong, H. Y. F., & Yong, V. W. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00581-x · Cited by 170
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Dušek, P., Hofer, T., Alexander, J., Roos, P. M., & Aaseth, J. (2022) · Biomolecules · doi:10.3390/biom12050714 · Cited by 170
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Absinta, M., Sati, P., & Reich, D. S. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.59 · Cited by 161
Adamczyk, B., & Adamczyk-Sowa, M. H. (2016) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2016/1973834 · Cited by 155
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Schneider, S. A., Dušek, P., Hardy, J., Westenberger, A., Jankovic, J. J., & Bhatia, K. P. (2013) · Current Neuropharmacology · doi:10.2174/157015913804999469 · Cited by 140
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Kirilina, E. P., Helbling, S., Morawski, M., Pine, K., Reimann, K., Jankuhn, S., Dinse, J., Deistung, A., Reichenbach, J. R., Trampel, R., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz9281 · Cited by 121
Dulamea, A. O. (2017) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-319-47861-6_7 · Cited by 128
Redox metals homeostasis in multiple sclerosis and amyotrophic lateral sclerosis: a review
Sheykhansari, S., Kozielski, K., Bill, J., Sitti, M., Gemmati, D., Zamboni, P., & Singh, A. V. (2018) · Cell Death and Disease · doi:10.1038/s41419-018-0379-2 · Cited by 124
Comparison of Routine Brain Imaging at 3 T and 7 T
Springer, E., Dymerska, B., Cardoso, P. L., Robinson, S., Weisstanner, C., Wiest, R., Schmitt, B., & Trattnig, S. (2016) · Investigative Radiology · doi:10.1097/rli.0000000000000256 · Cited by 114
Roles and regulation of microglia activity in multiple sclerosis: insights from animal models
Distéfano‐Gagné, F., Bitarafan, S., Lacroix, S., & Gosselin, D. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00709-6 · Cited by 115
Iron in Multiple Sclerosis and Its Noninvasive Imaging with Quantitative Susceptibility Mapping
Stüber, C., Pitt, D., & Wang, Y. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17010100 · Cited by 117
Effects of formalin fixation and temperature on MR relaxation times in the human brain
Birkl, C., Langkammer, C., Golob‐Schwarzl, N., Leoni, M., Haybaeck, J., Goessler, W., Fazekas, F., & Ropele, S. (2016) · NMR in Biomedicine · doi:10.1002/nbm.3477 · Cited by 111
Brain iron accumulation in aging and neurodegenerative disorders
Hagemeier, J., Geurts, J. J. G., & Zivadinov, R. (2012) · Expert Review of Neurotherapeutics · doi:10.1586/ern.12.128 · Cited by 114
Determinants and Biomarkers of Progression Independent of Relapses in Multiple Sclerosis
Calabrese, M., Preziosa, P., Scalfari, A., Colato, E., Marastoni, D., Absinta, M., Battaglini, M., Stefano, N. D., Filippo, M. D., Hametner, S., et al. (2024) · Annals of Neurology · doi:10.1002/ana.26913 · Cited by 115
Stankiewicz, J., Neema, M., & Ceccarelli, A. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.039 · Cited by 110
Chronic White Matter Inflammation and Serum Neurofilament Levels in Multiple Sclerosis
Maggi, P., Kühle, J., Schädelin, S., van der Meer, F., Weigel, M., Galbusera, R., Mathias, A., Lu, P., Rahmanzadeh, R., Benkert, P., et al. (2021) · Neurology · doi:10.1212/wnl.0000000000012326 · Cited by 112
Albumin and multiple sclerosis
LeVine, S. M. (2016) · BMC Neurology · doi:10.1186/s12883-016-0564-9 · Cited by 105
Scalfari, A., Traboulsee, A. L., Oh, J., Airas, L. M., Bittner, S., Calabrese, M., García‐Domínguez, J. M., Granziera, C., Greenberg, B. M., Hellwig, K., et al. (2024) · Annals of Neurology · doi:10.1002/ana.27034 · Cited by 107
Zhang, Y., Gauthier, S. A., Gupta, A. K., Comunale, J. P., Chiang, G. C.-Y., Zhou, D., Chen, W., Giambrone, A. E., Zhu, W., & Wang, Y. (2016) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25144 · Cited by 92
Multiple Sclerosis: Validation of MR Imaging for Quantification and Detection of Iron
Walsh, A. J. L., Lebel, R. M., Eissa, A., Blevins, G., Catz, I., Lu, J., Resch, L., Johnson, E. S., Emery, D. J., Warren, K. G., et al. (2013) · Radiology · doi:10.1148/radiol.12120863 · Cited by 92
Li, X., Chen, L., Kutten, K. S., Ceritoglu, C., Li, Y., Kang, N., Hsu, J. T., Qiao, Y., Wei, H., Liu, C., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.016 · Cited by 96
Relationship between paramagnetic rim lesions and slowly expanding lesions in multiple sclerosis
Calvi, A., Clarke, M. A., Prados, F., Chard, D., Ciccarelli, O., Alberich, M., Pareto, D., Rodríguez, M., Sastre‐Garriga, J., Tur, C., et al. (2022) · Multiple Sclerosis Journal · doi:10.1177/13524585221141964 · Cited by 97
Lesion Heterogeneity on High-Field Susceptibility MRI Is Associated with Multiple Sclerosis Severity
Harrison, D. M., Li, X., Liu, H., Jones, C. K., Caffo, B. S., Calabresi, P. A., & van Zijl, P. C. M. (2016) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4726 · Cited by 89
Gillen, K. M., Mubarak, M., Nguyen, T. D., & Pitt, D. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00255 · Cited by 88
Magnetic susceptibility contrast variations in multiple sclerosis lesions
Li, X., Harrison, D. M., Liu, H., Jones, C. K., Oh, J., Calabresi, P. A., & van Zijl, P. C. M. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24976 · Cited by 88
Schweser, F., Martins, A. L. R. D., Hagemeier, J., Lin, F., Hanspach, J., Weinstock‐Guttman, B., Hametner, S., Bergsland, N., Dwyer, M. G., & Zivadinov, R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.063 · Cited by 91
A New Advanced MRI Biomarker for Remyelinated Lesions in Multiple Sclerosis
Rahmanzadeh, R., Galbusera, R., Lu, P., Bahn, E., Weigel, M., Baraković, M., Franz, J., Nguyen, T. D., Spincemaille, P., Schiavi, S., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26441 · Cited by 87
Zarruk, J. G., Berard, J. L., dos Santos, R. P., Kroner, A., Lee, J., Arosio, P., & David, S. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.02.001 · Cited by 79
Chawla, S., Kister, I., Wuerfel, J. T., Brisset, J., Liu, S., Sinnecker, T., Dušek, P., Haacke, E. M., Paul, F., & Ge, Y. (2016) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4729 · Cited by 82
Bian, W., Harter, K., Hammond, K. E., Lupo, J., Xu, D., Kelley, D. A. C., Vigneron, D. B., Nelson, S. J., & Pelletier, D. (2012) · Multiple Sclerosis Journal · doi:10.1177/1352458512447870 · Cited by 81
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Gillen, K. M., Mubarak, M., Park, C., Ponath, G. D., Zhang, S., Dimov, A., Levine-Ritterman, M., Toro, S., Huang, W., Amici, S. A., et al. (2021) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51338 · Cited by 84
Calvi, A., Prados, F., Tur, C., Chard, D., Stutters, J., Angelis, F. D., John, N. A., Williams, T. E., Doshi, A., Samson, R. S., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200144 · Cited by 80
Clinical applications at ultrahigh field (7 T). Where does it make the difference?
Trattnig, S., Bogner, W., Gruber, S., Szomolányi, P., Juráš, V., Robinson, S., Zbýň, Š., & Haneder, S. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3272 · Cited by 79
In vivo imaging of chronic active lesions in multiple sclerosis
Calvi, A., Haider, L., Prados, F., Tur, C., Chard, D., & Barkhof, F. (2020) · Multiple Sclerosis Journal · doi:10.1177/1352458520958589 · Cited by 89
Kwong, K. C. N. K., Mollison, D., Meijboom, R., York, E. N., Kampaite, A., Thrippleton, M. J., Chandran, S., & Waldman, A. D. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256845 · Cited by 85
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Dušek, P., Bahn, E., Litwin, T., Jabłonka-Salach, K., Łuciuk, A., Huelnhagen, T., Madai, V. I., Dieringer, M. A., Bulska, E., Knauth, M., et al. (2016) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12341 · Cited by 77
Dynamics of brain iron levels in multiple sclerosis
Khalil, M., Langkammer, C., Pichler, A., Pinter, D., Gattringer, T., Bachmaier, G., Ropele, S., Fuchs, S., Enzinger, C., & Fazekas, F. (2015) · Neurology · doi:10.1212/wnl.0000000000001679 · Cited by 76
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Zhang, Y., Gauthier, S. A., Gupta, A. K., Chen, W., Comunale, J. P., Chiang, G. C.-Y., Zhou, D., Askin, G., Zhu, W., Pitt, D., et al. (2016) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4825 · Cited by 72
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Walsh, A. J. L., Blevins, G., Lebel, R. M., Seres, P., Emery, D. J., & Wilman, A. H. (2013) · Radiology · doi:10.1148/radiol.13130474 · Cited by 70
Kenkhuis, B., van Eekeren, M., Parfitt, D. A., Ariyürek, Y., Banerjee, P., Priller, J., van der Weerd, L., & van Roon‐Mom, W. (2022) · Stem Cell Reports · doi:10.1016/j.stemcr.2022.04.006 · Cited by 71
Rudko, D. A., Solovey, I., Gati, J. S., Kremenchutzky, M., & Menon, R. S. (2014) · Radiology · doi:10.1148/radiol.14132475 · Cited by 68
Elliott, C., Rudko, D. A., Arnold, D. L., Fetco, D., Elkady, A. M., Araújo, D., Zhu, B. Y., Gafson, A., Tian, Z., Belachew, S. M., et al. (2023) · Multiple Sclerosis Journal · doi:10.1177/13524585231162262 · Cited by 68
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Lee, N. J., Ha, S.-K., Sati, P., Absinta, M., Nair, G., Luciano, N. J., Leibovitch, E. C., Yen, C. C., Rouault, T. A., Silva, A. C., et al. (2019) · Journal of Clinical Investigation · doi:10.1172/jci126809 · Cited by 67
Amide proton transfer CEST of the cervical spinal cord in multiple sclerosis patients at 3T
By, S., Barry, R. L., Smith, A. K., Lyttle, B. D., Box, B. A., Bagnato, F. R., Pawate, S., & Smith, S. A. (2017) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26736 · Cited by 64
Pallebage‐Gamarallage, M. M., Foxley, S., Menke, R., Huszár, I. N., Jenkinson, M., Tendler, B. C., Wang, C., Jbabdi, S., Turner, M. R., Miller, K. L., et al. (2018) · BMC Neuroscience · doi:10.1186/s12868-018-0416-1 · Cited by 64
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Cortical and phase rim lesions on 7 T MRI as markers of multiple sclerosis disease progression
Treaba, C. A., Conti, A., Klawiter, E. C., Barletta, V. T., Herranz, E., Mehndiratta, A., Russo, A. W., Sloane, J. A., Kinkel, R. P., Toschi, N., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab134 · Cited by 62
Dušek, P., Dezortová, M., & Wuerfel, J. T. (2013) · International review of neurobiology · doi:10.1016/b978-0-12-410502-7.00010-7 · Cited by 60
Barquero, G., Rosa, F. L., Kebiri, H., Lu, P., Rahmanzadeh, R., Weigel, M., Fartaria, M. J., Kober, T., Théaudin, M., Pasquier, R. D., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102412 · Cited by 60
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Metadata
- Authors
- Bagnato, F., Hametner, S., Yao, B., van Gelderen, P., Merkle, H., Cantor, F. K., Lassmann, H., & Duyn, J. H.
- Affiliations
- National Institutes of Health (US)
- Medical University of Vienna (AT)
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-12-01
- Volume
- 134
- Issue
- 12
- Pages
- 3602-3615
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC3235560
- OpenAlex
- W2154189431
- Cited by
- 351
- References
- 65
- Citations by year
- 2026: 14 · 2025: 19 · 2024: 29 · 2023: 33 · 2022: 32 · 2021: 25 · 2020: 22 · 2019: 18 · 2018: 18 · 2017: 22 · 2016: 35 · 2015: 24 · 2014: 28 · 2013: 19 · 2012: 13
- FWCI
- 14.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Life Sciences › Neuroscience › Neurology › Neurological diseases and metabolism
- Keywords
- multiple sclerosis, iron accumulation, r2 relaxivity, gradient echo MRI, 7T MRI, white matter lesions, normal-appearing white matter, ferritin, oligodendrocytes, microglia, macrophages, microbleeds, myelin
- MeSH terms
- Brain, Humans, Image Processing, Computer-Assisted, Iron, Magnetic Resonance Imaging, Multiple Sclerosis, Myelin Sheath, Nerve Fibers, Myelinated
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