The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Cited by
Sorted by citations
Items 101–200 of 350
Yao, Y., Nguyen, T. D., Pandya, S., Zhang, Y., Rúa, S. H., Kovanlıkaya, İ., Kuceyeski, A. F., Liu, Z., Wang, Y., & Gauthier, S. A. (2017) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5482 · Cited by 56
Zhang, S., Nguyen, T. D., Rúa, S. M. H., Kaunzner, U. W., Pandya, S., Kovanlikaya, I., Spincemaille, P., Wang, Y., & Gauthier, S. A. (2019) · Europe PMC (PubMed Central) · doi:10.3174/ajnr.a6071 · Cited by 58
Rosito, M., Testi, C., Parisi, G., Cortese, B., Baiocco, P., & Angelantonio, S. D. (2020) · Antioxidants · doi:10.3390/antiox9080700 · Cited by 61
Determinants of iron accumulation in deep grey matter of multiple sclerosis patients
Ropele, S., Kilsdonk, I. D., Wattjes, M. P., Langkammer, C., de Graaf, W. L., Frederiksen, J. L., Larsson, H. B. W., Yiannakas, M. C., Wheeler‐Kingshott, C. A. M. G., Enzinger, C., et al. (2014) · Multiple Sclerosis Journal · doi:10.1177/1352458514531085 · Cited by 58
Ultra-high-field MR imaging in multiple sclerosis
Filippi, M., Evangelou, N., Kangarlu, A., Inglese, M., Mainero, C., Horsfield, M. A., & Rocca, M. A. (2013) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2013-305246 · Cited by 55
MRI phase changes in multiple sclerosis vs neuromyelitis optica lesions at 7T
Sinnecker, T., Schumacher, S., Mueller, K., Pache, F. C., Dušek, P., Harms, L., Ruprecht, K., Nytrová, P., Chawla, S., Niendorf, T., et al. (2016) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000259 · Cited by 55
What is the potential of paramagnetic rim lesions as diagnostic indicators in multiple sclerosis?
Martire, M. S., Moiola, L., Rocca, M. A., Filippi, M., & Absinta, M. (2022) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2022.2143265 · Cited by 60
Smouldering Lesion in MS: Microglia, Lymphocytes and Pathobiochemical Mechanisms
Pukoli, D., & Vécsei, L. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241612631 · Cited by 58
Waller, R., Woodroofe, M. N., Wharton, S. B., Ince, P. G., Francese, S., Heath, P. R., Cudzich-Madry, A., Thomas, R. H., Rounding, N., Sharrack, B., et al. (2016) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2016.09.010 · Cited by 54
Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis
Marcille, M., Rúa, S. M. H., Tyshkov, C., Jaywant, A., Comunale, J. P., Kaunzner, U. W., Nealon, N., Perumal, J. S., Zexter, L., Zinger, N., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-08477-6 · Cited by 59
Dimethyl Fumarate Reduces Inflammation in Chronic Active Multiple Sclerosis Lesions
Zinger, N., Ponath, G., Sweeney, E., Nguyen, T. D., Lo, C. H., Diaz, I., Dimov, A., Teng, L., Zexter, L., Comunale, J., et al. (2022) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000001138 · Cited by 51
Microglia in multiple sclerosis - pathogenesis and imaging
Airas, L., & Yong, V. W. (2022) · Current Opinion in Neurology · doi:10.1097/wco.0000000000001045 · Cited by 52
Chawla, S., Kister, I., Sinnecker, T., Wuerfel, J. T., Brisset, J., Paul, F., & Ge, Y. (2018) · PLoS ONE · doi:10.1371/journal.pone.0202918 · Cited by 52
Bruschi, N., Boffa, G., & Inglese, M. (2020) · European Radiology Experimental · doi:10.1186/s41747-020-00186-x · Cited by 58
Neuroimaging Techniques to Assess Inflammation in Multiple Sclerosis
Tommasin, S., Giannì, C., Giglio, L. D., & Pantano, P. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.055 · Cited by 51
Hyperpolarized and Inert Gas MRI: The Future
Couch, M. J., Błasiak, B., Tomanek, B., Ouriadov, A. V., Fox, M. S., Dowhos, K. M., & Albert, M. S. (2014) · Molecular Imaging and Biology · doi:10.1007/s11307-014-0788-2 · Cited by 49
Schweser, F., Hagemeier, J., Dwyer, M. G., Bergsland, N., Hametner, S., Weinstock‐Guttman, B., & Zivadinov, R. (2020) · Human Brain Mapping · doi:10.1002/hbm.25306 · Cited by 49
Nylund, M., Sucksdorff, M., Matilainen, M., Polvinen, E., Tuisku, J., & Airas, L. (2022) · Brain Communications · doi:10.1093/braincomms/fcab301 · Cited by 48
Imaging whole-brain cytoarchitecture of mouse with MRI-based quantitative susceptibility mapping
Wei, H., Xie, L., Dibb, R., Li, W., Decker, K., Zhang, Y., Johnson, G. A., & Liu, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.033 · Cited by 48
Kim, W., Shin, H., Lee, H., Park, D., Kang, J., Nam, Y., Lee, J., & Jang, J. (2022) · Radiology · doi:10.1148/radiol.220941 · Cited by 52
Sinnecker, T., Kuchling, J., Dušek, P., Dörr, J., Niendorf, T., Paul, F., & Wuerfel, J. T. (2015) · The EPMA Journal · doi:10.1186/s13167-015-0038-y · Cited by 49
Blindenbacher, N., Brunner, E., Asseyer, S., Scheel, M., Siebert, N., Rasche, L., Bellmann–Strobl, J., Brandt, A. U., Ruprecht, K., Meier, D., et al. (2020) · Multiple Sclerosis Journal - Experimental Translational and Clinical · doi:10.1177/2055217320915480 · Cited by 47
New insight on microglia activation in neurodegenerative diseases and therapeutics
Xu, Y., Gao, W., Sun, Y., & Wu, M. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1308345 · Cited by 50
Nathoo, N., Agrawal, S., Wu, Y., Haylock‐Jacobs, S., Yong, V. W., Foniok, T., Barnes, S. R., Obenaus, A., & Dunn, J. F. (2012) · Multiple Sclerosis Journal · doi:10.1177/1352458512460602 · Cited by 46
Paling, D., Tozer, D. J., Wheeler‐Kingshott, C. A. M. G., Kapoor, R., Miller, D. H., & Golay, X. (2012) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2012-302541 · Cited by 45
Elkady, A. M., Cobzaş, D., Sun, H., Blevins, G., & Wilman, A. H. (2017) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25682 · Cited by 45
How to choose the right MR sequence for your research question at 7 T and above?
Marques, J. P., & Norris, D. G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.044 · Cited by 45
Wiggermann, V., Hametner, S., Hernández‐Torres, E., Kames, C., Endmayr, V., Kasprian, G. J., Höftberger, R., Li, D. K. B., Traboulsee, A. L., & Rauscher, A. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3727 · Cited by 45
Initial investigation of the blood-brain barrier in MS lesions at 7 tesla
Gaitán, M. I., Sati, P., Inati, S., & Reich, D. S. (2012) · Multiple Sclerosis Journal · doi:10.1177/1352458512471093 · Cited by 45
Cronin, M. J., Wharton, S., Al‐Radaideh, A., Constantinescu, C. S., Evangelou, N., Bowtell, R. W., & Gowland, P. A. (2016) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-016-0560-5 · Cited by 44
Morphological features of MS lesions on FLAIR* at 7 T and their relation to patient characteristics
Kilsdonk, I. D., Lopez-Soriano, A., Kuijer, J. P. A., de Graaf, W. L., Castelijns, J. A., Polman, C. H., Luijten, P. R., Geurts, J. J. J. G., Barkhof, F., & Wattjes, M. P. (2014) · Journal of Neurology · doi:10.1007/s00415-014-7351-6 · Cited by 55
From pathology to MRI and back: Clinically relevant biomarkers of multiple sclerosis lesions
Kolb, H., Al‐Louzi, O., Beck, E., Sati, P., Absinta, M., & Reich, D. S. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103194 · Cited by 44
Emerging imaging and liquid biomarkers in multiple sclerosis
Gill, A. J., Schorr, E. M., Gadani, S. P., & Calabresi, P. A. (2023) · European Journal of Immunology · doi:10.1002/eji.202250228 · Cited by 52
Yang, Y., Bender, A. R., & Raz, N. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.11.020 · Cited by 43
Visualizing iron in multiple sclerosis
Bagnato, F. R., Hametner, S., & Welch, E. B. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.11.011 · Cited by 42
Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis
Weber, C. E., Krämer, J., Wittayer, M., Gregori, J., Randoll, S., Weiler, F., Heldmann, S., Roßmanith, C., Platten, M., Gass, A., et al. (2021) · European Radiology · doi:10.1007/s00330-021-08233-w · Cited by 42
Zhang, H., Nguyen, T. D., Zhang, J., Marcille, M., Spincemaille, P., Wang, Y., Gauthier, S. A., & Sweeney, E. M. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.102979 · Cited by 42
Role of NRF2 in Pathogenesis of Alzheimer’s Disease
Chu, C., Uruno, A., Katsuoka, F., & Yamamoto, M. (2024) · Antioxidants · doi:10.3390/antiox13121529 · Cited by 43
Bian, W., Tranvinh, E., Tourdias, T., Han, M. H., Liu, T., Wang, Y., Rutt, B. K., & Zeineh, M. (2016) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4830 · Cited by 39
Myeloid cell iron uptake pathways and paramagnetic rim formation in multiple sclerosis
Hofmann, A., Krajnc, N., Dal‐Bianco, A., Riedl, C. J., Zrzavy, T., Lerma-Martin, C., Kasprian, G. J., Weber, C. E., Pezzini, F., Leutmezer, F., et al. (2023) · Acta Neuropathologica · doi:10.1007/s00401-023-02627-4 · Cited by 41
Uchida, Y., Kan, H., Kano, Y., Onda, K., Sakurai, K., Takada, K., Ueki, Y., Matsukawa, N., Hillis, A. E., & Oishi, K. (2024) · Stroke · doi:10.1161/strokeaha.123.044606 · Cited by 39
Lipocalin-2 as an Infection-Related Biomarker to Predict Clinical Outcome in Ischemic Stroke
Hochmeister, S., Engel, O., Adzemovic, M. Z., Pekar, T., Kendlbacher, P., Zeitelhofer, M., Haindl, M., Meisel, A., Fazekas, F., & Seifert-Held, T. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154797 · Cited by 37
Jang, J., Nam, Y., Choi, Y., Shin, N., An, J. Y., Ahn, K. J., Kim, B., Lee, K.-S., & Kim, W. (2020) · Journal of Clinical Neurology · doi:10.3988/jcn.2020.16.4.562 · Cited by 40
Lou, C., Sati, P., Absinta, M., Clark, K. A., Dworkin, J. D., Valcarcel, A. M., Schindler, M. K., Reich, D. S., Sweeney, E. M., & Shinohara, R. T. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102796 · Cited by 38
Dal‐Bianco, A., Hametner, S., Grabner, G., Schernthaner, M. B., Kronnerwetter, C., Reitner, A., Vass, C., Kircher, K., Auff, E., Leutmezer, F., et al. (2015) · European Radiology · doi:10.1007/s00330-015-3719-y · Cited by 37
Yao, B., Ikonomidou, V. N., Cantor, F. K., Ohayon, J. M., Duyn, J. H., & Bagnato, F. R. (2015) · Journal of Neuroimaging · doi:10.1111/jon.12193 · Cited by 40
Role of Microglial Cells in the Pathophysiology of MS: Synergistic or Antagonistic?
Mado, H., Adamczyk-Sowa, M. H., & Sowa, P. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24031861 · Cited by 43
Dunham, J., Bauer, J., Campbell, G. R., Mahad, D., van Driel, N., van der Pol, S. M. A., Hart, B. A. ‘., Lassmann, H., Laman, J. D., van Horssen, J., et al. (2017) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlx034 · Cited by 36
Dalès, J.-P., & Desplat‐Jégo, S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21239105 · Cited by 36
Matching ex vivo MRI With Iron Histology: Pearls and Pitfalls
De Barros, A., Arribarat, G., Combis, J., Chaynes, P., & Péran, P. (2019) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2019.00068 · Cited by 31
Miyagawa, M., Maeda, M., Umino, M., Kagawa, K., Nakamichi, K., Sakuma, H., & Tomimoto, H. (2014) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2014.06.018 · Cited by 35
Ischemia modified albumin is an indicator of oxidative stress in multiple sclerosis
Aydın, Ö., Elli̇dağ, H. Y., Eren, E., Kurtuluş, F., Yaman, A., & Yılmaz, N. (2014) · Biochemia Medica · doi:10.11613/bm.2014.041 · Cited by 34
Effect of Age on MRI Phase Behavior in the Subcortical Deep Gray Matter of Healthy Individuals
Hagemeier, J., Dwyer, M. G., Bergsland, N., Schweser, F., Magnano, C. R., Heininen‐Brown, M., Ramasamy, D. P., Carl, E. M., Kennedy, C. L., Melia, R., et al. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3569 · Cited by 34
Iron content of the pulvinar nucleus of the thalamus is increased in adolescent multiple sclerosis
Hagemeier, J., Yeh, E. A., Brown, M. H., Bergsland, N., Dwyer, M. G., Carl, E. M., Weinstock‐Guttman, B., & Zivadinov, R. (2012) · Multiple Sclerosis Journal · doi:10.1177/1352458512459289 · Cited by 33
Huang, W., Sweeney, E. M., Kaunzner, U. W., Wang, Y., Gauthier, S. A., & Nguyen, T. D. (2022) · Journal of Neuroimaging · doi:10.1111/jon.12987 · Cited by 33
Enhanced Histochemical Detection of Iron in Paraffin Sections of Mouse Central Nervous System Tissue
Sands, S. A., Leung-Toung, R., Wang, Y., Connelly, J., & LeVine, S. M. (2016) · ASN NEURO · doi:10.1177/1759091416670978 · Cited by 34
MRI Susceptibility Changes Suggestive of Iron Deposition in the Thalamus after Ischemic Stroke
van Etten, E. S., van der Grond, J., Dumas, E. M., van den Bogaard, S. J. A., van Buchem, M. A., & Wermer, M. J. H. (2015) · Cerebrovascular Diseases · doi:10.1159/000433560 · Cited by 32
The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials
Mahajan, K. R., & Ontaneda, D. (2017) · Neurotherapeutics · doi:10.1007/s13311-017-0561-8 · Cited by 34
Li, K., Ouyang, Z., Chen, Y., Gagnon, J., Lin, D., Mingueneau, M., Chen, W., Sexton, D., & Zhang, B. (2020) · Research Square · doi:10.1101/2020.08.28.270652 · Cited by 31
Bagnato, F. R., Hametner, S., Franco, G., Pawate, S., Sriram, S., Lassmann, H., Gore, J. C., Smith, S. E., & Dortch, R. D. (2018) · Journal of Neuroimaging · doi:10.1111/jon.12511 · Cited by 31
Aspirin and multiple sclerosis
Tsau, S., Emerson, M. R., LYNCH, S. G., & LeVine, S. M. (2015) · BMC Medicine · doi:10.1186/s12916-015-0394-4 · Cited by 31
Quantifying Remyelination Using χ-Separation in White Matter and Cortical Multiple Sclerosis Lesions
Müller, J., Lu, P., Cagol, A., Ruberte, E., Shin, H., Ocampo‐Pineda, M., Chen, X., Tsagkas, C., Baraković, M., Galbusera, R., et al. (2024) · Neurology · doi:10.1212/wnl.0000000000209604 · Cited by 36
Neuroinflammatory Imaging Biomarkers: Relevance to Multiple Sclerosis and its Therapy
Tourdias, T., & Dousset, V. (2012) · Neurotherapeutics · doi:10.1007/s13311-012-0155-4 · Cited by 32
An R2* model of white matter for fiber orientation and myelin concentration
Lee, J., Shin, H., Jung, W., Nam, Y., Oh, S., & Lee, J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.050 · Cited by 30
Taege, Y., Hagemeier, J., Bergsland, N., Dwyer, M. G., Weinstock‐Guttman, B., Zivadinov, R., & Schweser, F. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.011 · Cited by 30
Advanced spinal cord MRI in multiple sclerosis: Current techniques and future directions
Combes, A. J. E., Clarke, M. A., O’Grady, K. P., Schilling, K. G., & Smith, S. A. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103244 · Cited by 32
Clinical applications of ultra-high field magnetic resonance imaging in multiple sclerosis
Inglese, M., Fleysher, L., Oesingmann, N., & Petracca, M. (2018) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2018.1433033 · Cited by 31
Bamm, V. V., & Harauz, G. (2014) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-014-1570-y · Cited by 30
Eisele, P., Fischer, K., Szabo, K., Platten, M., & Gass, A. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.01082 · Cited by 30
Tolaymat, B., Zheng, W., Chen, H. A., Choi, S., Li, X., & Harrison, D. M. (2020) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2020.102317 · Cited by 31
New Prospects for Ultra-High-Field Magnetic Resonance Imaging in Multiple Sclerosis
Ineichen, B. V., Beck, E., Piccirelli, M., & Reich, D. S. (2021) · Investigative Radiology · doi:10.1097/rli.0000000000000804 · Cited by 30
Caruana, G., Pessini, L. M., Cannella, R., Salvaggio, G., de Barros, A., Salerno, A., Auger, C., & Rovira, À. (2020) · European Radiology · doi:10.1007/s00330-020-06995-3 · Cited by 29
Iron Mapping in Multiple Sclerosis
Ropele, S., Enzinger, C., & Fazekas, F. (2017) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2016.12.003 · Cited by 30
Elkady, A. M., Cobzaş, D., Sun, H., Blevins, G., & Wilman, A. H. (2018) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26004 · Cited by 28
Bergsland, N., Schweser, F., Dwyer, M. G., Weinstock‐Guttman, B., Benedict, R. H. B., & Zivadinov, R. (2018) · Human Brain Mapping · doi:10.1002/hbm.24227 · Cited by 28
Choi, S., Lake, S., & Harrison, D. M. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28847 · Cited by 27
Ogasawara, A., Kakeda, S., Watanabe, K., Ide, S., Ueda, I., Murakami, Y., Moriya, J., Futatsuya, K., Satô, T., Nakayamada, S., et al. (2015) · European Radiology · doi:10.1007/s00330-015-3929-3 · Cited by 26
Zhong, J., Jiang, R., Liu, N., Cai, Q., Cao, Q., Du, Y., & Zhao, H. (2025) · Antioxidants · doi:10.3390/antiox14070890 · Cited by 30
Amann, M., Andělová, M., Pfister, A., Mueller‐Lenke, N., Traud, S., Reinhardt, J., Magon, S., Bendfeldt, K., Kappos, L., Radue, E. W., et al. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.11.010 · Cited by 25
Arterial, venous and other vascular risk factors in multiple sclerosis
Karmon, Y., Ramanathan, M. K., Minagar, A., Zivadinov, R., & Weinstock‐Guttman, B. (2012) · Neurological Research · doi:10.1179/1743132812y.0000000077 · Cited by 25
Imaging of the superficial white matter in health and disease
Dyken, P. C. V., KHAN, A. R., & Palaniyappan, L. K. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00221 · Cited by 24
Emamnejad, R., Pagnin, M., & Petratos, S. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105788 · Cited by 25
Iron Rims as an Imaging Biomarker in MS: A Systematic Mapping Review
AlTokhis, A. I., Alotaibi, A., Felmban, G., Constantinescu, C. S., & Evangelou, N. (2020) · Diagnostics · doi:10.3390/diagnostics10110968 · Cited by 23
Micheletti, L., Maldonado, F., Watal, P., Toronchik, M. S., Erripa, J. I., Princich, J. P., & Rugilo, C. (2021) · Pediatric Radiology · doi:10.1007/s00247-021-05188-4 · Cited by 23
Wiggermann, V., Endmayr, V., Hernández‐Torres, E., Höftberger, R., Kasprian, G. J., Hametner, S., & Rauscher, A. (2023) · Brain Pathology · doi:10.1111/bpa.13150 · Cited by 22
Nrf2 activators for the treatment of rare iron overload diseases: From bench to bedside
Dong, Y., Zheng, M., Ding, W., Guan, H., Xiao, J., & Li, F. (2025) · Redox Biology · doi:10.1016/j.redox.2025.103551 · Cited by 22
Chen, W., Zhang, Y., Mu, K., Pan, C., Gauthier, S. A., Zhu, W., & Wang, Y. (2017) · American Journal of Roentgenology · doi:10.2214/ajr.16.16851 · Cited by 22
Quantitative Susceptibility Mapping of Brain Iron Deposition in Patients With Recurrent Depression
Duan, X., Xie, Y., Zhu, X., Chen, L., Li, F., Feng, G., & Li, L. (2022) · Psychiatry Investigation · doi:10.30773/pi.2022.0110 · Cited by 22
Mattay, R. R., Davtyan, K., Bilello, M., & Mamourian, A. C. (2018) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5828 · Cited by 22
Arevalo, O., Riascos, R., Rabiei, P., Kamali, A., & Nelson, F. M. (2018) · Journal of Computer Assisted Tomography · doi:10.1097/rct.0000000000000767 · Cited by 22
Filippi, M., Amato, M. P., Avolio, C., Gallo, P., Gasperini, C., Inglese, M., Marfia, G. A., & Patti, F. (2025) · Journal of Neurology · doi:10.1007/s00415-025-12917-4 · Cited by 24
Krajnc, N., Schmidbauer, V. U., Leinkauf, J., Haider, L., Bsteh, G., Kasprian, G. J., Leutmezer, F., Kornek, B., Rommer, P. S., Berger, T., et al. (2023) · Multiple Sclerosis Journal · doi:10.1177/13524585231197954 · Cited by 24
Cervical spinal cord susceptibility-weighted MRI at 7T: application to multiple sclerosis
Clarke, M. A., Witt, A. A., Robison, R. K., Fleishman, S., Combes, A. J. E., Houston, D., Prock, L. E., Sweeney, G., O'Grady, K. P., McKnight, C. D., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120460 · Cited by 21
Božin, I., Ge, Y., Kuchling, J., Dušek, P., Chawla, S., Harms, L., Ruprecht, K., Niendorf, T., Paul, F., Kister, I., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0128386 · Cited by 21
Heterogeneity of Cortical Lesion Susceptibility Mapping in Multiple Sclerosis
Castellaro, M., Magliozzi, R., Palombit, A., Pitteri, M., Silvestri, E., Camera, V., Montemezzi, S., Pizzini, F. B., Bertoldo, A., Reynolds, R., et al. (2017) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5150 · Cited by 21
Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis
Bonnier, G., Roche, A., Romascano, D., Simioni, S., Meskaldji, D. E., Rotzinger, D. C., Lin, Y., Menegaz, G., Schluep, M., Pasquier, R. D., et al. (2015) · BioMed Research International · doi:10.1155/2015/569123 · Cited by 20
Harrison, D. M., Sati, P., Klawiter, E. C., Narayanan, S., Bagnato, F. R., Beck, E., Barker, P. B., Calvi, A., Cagol, A., Donadieu, M., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae359 · Cited by 21
Filippi, M., Preziosa, P., & Rocca, M. A. (2016) · Handbook of clinical neurology · doi:10.1016/b978-0-444-53485-9.00020-9 · Cited by 21
Smoldering lesions in MS: if you like it then you should put a rim on it
Pinto, C. M., Cambron, M., Dobai, A., Vanheule, E., & Casselman, J. W. (2021) · Neuroradiology · doi:10.1007/s00234-021-02800-0 · Cited by 20
Kwong, K. C. N. K., Mollison, D., Meijboom, R., York, E. N., Kampaite, A., Martin, S., Hunt, D. P. J., Thrippleton, M. J., Chandran, S., & Waldman, A. D. (2021) · Neuroradiology · doi:10.1007/s00234-021-02768-x · Cited by 19
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review