Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Other Publications
    • ajnr

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.


AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

 

Research ArticleAdult Brain

Unraveling Deep Gray Matter Atrophy and Iron and Myelin Changes in Multiple Sclerosis

G. Pontillo, M. Petracca, S. Monti, M. Quarantelli, C. Criscuolo, R. Lanzillo, E. Tedeschi, A. Elefante, V. Brescia Morra, A. Brunetti, S. Cocozza and G. Palma
American Journal of Neuroradiology July 2021, 42 (7) 1223-1230; DOI: https://doi.org/10.3174/ajnr.A7093
G. Pontillo
aFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for G. Pontillo
M. Petracca
bNeurosciences and Reproductive and Odontostomatological Sciences (M.P., C.C., R.L., V.B.M.), University “Federico II,” Naples, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Petracca
S. Monti
cInstitute of Biostructure and Bioimaging, (S.M., M.Q., G.P.) National Research Council, Naples, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Monti
M. Quarantelli
cInstitute of Biostructure and Bioimaging, (S.M., M.Q., G.P.) National Research Council, Naples, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Quarantelli
C. Criscuolo
bNeurosciences and Reproductive and Odontostomatological Sciences (M.P., C.C., R.L., V.B.M.), University “Federico II,” Naples, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for C. Criscuolo
R. Lanzillo
bNeurosciences and Reproductive and Odontostomatological Sciences (M.P., C.C., R.L., V.B.M.), University “Federico II,” Naples, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R. Lanzillo
E. Tedeschi
aFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for E. Tedeschi
A. Elefante
aFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Elefante
V. Brescia Morra
bNeurosciences and Reproductive and Odontostomatological Sciences (M.P., C.C., R.L., V.B.M.), University “Federico II,” Naples, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for V. Brescia Morra
A. Brunetti
aFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Brunetti
S. Cocozza
aFrom the Departments of Advanced Biomedical Sciences (G.P., E.T., A.E., A.B., S.C.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Cocozza
G. Palma
cInstitute of Biostructure and Bioimaging, (S.M., M.Q., G.P.) National Research Council, Naples, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for G. Palma
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Eshaghi A,
    2. Prados F,
    3. Brownlee WJ, et al
    . MAGNIMS study group. Deep gray matter volume loss drives disability worsening in multiple sclerosis. Ann Neurol 2018;83:210–22 doi:10.1002/ana.25145 pmid:29331092
    CrossRefPubMed
  2. 2.↵
    1. Pontillo G,
    2. Cocozza S,
    3. Lanzillo R, et al
    . Determinants of deep gray matter atrophy in multiple sclerosis: a multimodal MRI study. AJNR Am J Neuroradiol 2019;40:99–106 doi:10.3174/ajnr.A5915 pmid:30573464
    Abstract/FREE Full Text
  3. 3.↵
    1. Langkammer C,
    2. Liu T,
    3. Khalil M, et al
    . Quantitative susceptibility mapping in multiple sclerosis. Radiology 2013;267:551–59 doi:10.1148/radiol.12120707 pmid:23315661
    CrossRefPubMedWeb of Science
  4. 4.↵
    1. Zivadinov R,
    2. Tavazzi E,
    3. Bergsland N, et al
    . Brain iron at quantitative MRI is associated with disability in multiple sclerosis. Radiology 2018;289:487–96 doi:10.1148/radiol.2018180136 pmid:30015589
    CrossRefPubMed
  5. 5.↵
    1. Fujiwara E,
    2. Kmech JA,
    3. Cobzas D, et al
    . Cognitive implications of deep gray matter iron in multiple sclerosis. AJNR Am J Neuroradiol 2017;38:942–48 doi:10.3174/ajnr.A5109 pmid:28232497
    Abstract/FREE Full Text
  6. 6.↵
    1. Stephenson E,
    2. Nathoo N,
    3. Mahjoub Y, et al
    . Iron in multiple sclerosis: roles in neurodegeneration and repair. Nat Rev Neurol 2014;10:459–68 doi:10.1038/nrneurol.2014.118 pmid:25002107
    CrossRefPubMed
  7. 7.↵
    1. O’Muircheartaigh J,
    2. Vavasour I,
    3. Ljungberg E, et al
    . Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis. Hum Brain Mapp 2019;40:2104–16 doi:10.1002/hbm.24510 pmid:30648315
    CrossRefPubMed
  8. 8.↵
    1. Lutti A,
    2. Dick F,
    3. Sereno MI, et al
    . Using high-resolution quantitative mapping of R1 as an index of cortical myelination. Neuroimage 2014;93(Pt 2):176–88 doi:10.1016/j.neuroimage.2013.06.005 pmid:23756203
    CrossRefPubMed
  9. 9.↵
    1. Stuber C,
    2. Morawski M,
    3. Schafer A, et al
    . Myelin and iron concentration in the human brain: a quantitative study of MRI contrast. Neuroimage 2014;93(Pt 1):95–106 doi:10.1016/j.neuroimage.2014.02.026 pmid:24607447
    CrossRefPubMed
  10. 10.↵
    1. Moller HE,
    2. Bossoni L,
    3. Connor JR, et al
    . Iron, myelin, and the brain: neuroimaging meets neurobiology. Trends Neurosci 2019;42:384–401 doi:10.1016/j.tins.2019.03.009 pmid:31047721
    CrossRefPubMed
  11. 11.↵
    1. Schweser F,
    2. Raffaini Duarte Martins AL,
    3. Hagemeier J, et al
    . Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: a proposed mechanistic relationship between inflammation and oligodendrocyte vitality. Neuroimage 2018;167:438–52 doi:10.1016/j.neuroimage.2017.10.063 pmid:29097315
    CrossRefPubMed
  12. 12.↵
    1. Hernandez-Torres E,
    2. Wiggermann V,
    3. Machan L, et al
    . Increased mean R2* in the deep gray matter of multiple sclerosis patients: have we been measuring atrophy? J Magn Reson Imaging 2019;50:201–08 doi:10.1002/jmri.26561 pmid:30511803
    CrossRefPubMed
  13. 13.↵
    1. Polman CH,
    2. Reingold SC,
    3. Banwell B, et al
    . Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011;69:292–302 doi:10.1002/ana.22366 pmid:21387374
    CrossRefPubMedWeb of Science
  14. 14.↵
    1. Kurtzke JF
    . Rating neurologic impairment in multiple sclerosis: an Expanded Disability Status Scale (EDSS). Neurology 1983;33:1444–52 doi:10.1212/wnl.33.11.1444 pmid:6685237
    Abstract/FREE Full Text
  15. 15.↵
    1. Lublin FD
    . New multiple sclerosis phenotypic classification. Eur Neurol 2014;72 Suppl 1:1–5 doi:10.1159/000367614 pmid:25278115
    CrossRefPubMed
  16. 16.↵
    1. Palma G,
    2. Tedeschi E,
    3. Borrelli P, et al
    . A novel multiparametric approach to 3D quantitative MRI of the brain. PLoS One 2015;10:e0134963 doi:10.1371/journal.pone.0134963 pmid:26284778
    CrossRefPubMed
  17. 17.↵
    1. Monti S,
    2. Borrelli P,
    3. Tedeschi E, et al
    . RESUME: turning an SWI acquisition into a fast qMRI protocol. PLoS One 2017;12:e0189933 doi:10.1371/journal.pone.0189933 pmid:29261786
    CrossRefPubMed
  18. 18.↵
    1. Rooney WD,
    2. Johnson G,
    3. Li X, et al
    . Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo. Magn Reson Med 2007;57:308–18 doi:10.1002/mrm.21122 pmid:17260370
    CrossRefPubMed
  19. 19.↵
    1. Patenaude B,
    2. Smith SM,
    3. Kennedy DN, et al
    . A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage 2011;56:907–22 doi:10.1016/j.neuroimage.2011.02.046 pmid:21352927
    CrossRefPubMedWeb of Science
  20. 20.↵
    1. Hanspach J,
    2. Dwyer MG,
    3. Bergsland NP, et al
    . Methods for the computation of templates from quantitative magnetic susceptibility maps (QSM): toward improved atlas- and voxel-based analyses (VBA). J Magn Reson Imaging 2017;46:1474–84 doi:10.1002/jmri.25671 pmid:28263417
    CrossRefPubMed
  21. 21.↵
    1. Avants BB,
    2. Tustison NJ,
    3. Song G, et al
    . A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 2011;54:2033–44 doi:10.1016/j.neuroimage.2010.09.025 pmid:20851191
    CrossRefPubMed
  22. 22.↵
    1. Zhang Y,
    2. Wei H,
    3. Cronin MJ, et al
    . Longitudinal atlas for normative human brain development and aging over the lifespan using quantitative susceptibility mapping. Neuroimage 2018;171:176–89 doi:10.1016/j.neuroimage.2018.01.008 pmid:29325780
    CrossRefPubMed
  23. 23.↵
    1. Smith SM,
    2. Nichols TE
    . Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 2009;44:83–98 doi:10.1016/j.neuroimage.2008.03.061 pmid:18501637
    CrossRefPubMedWeb of Science
  24. 24.↵
    1. Stuber C,
    2. Pitt D,
    3. Wang Y
    . Iron in multiple sclerosis and its noninvasive imaging with quantitative susceptibility mapping. Int J Mol Sci 2016;17:100 doi:10.3390/ijms17010100 pmid:26784172
    CrossRefPubMed
  25. 25.↵
    1. Hallgren B,
    2. Sourander P
    . The effect of age on the non-haemin iron in the human brain. J Neurochem 1958;3:41–51 doi:10.1111/j.1471-4159.1958.tb12607.x pmid:13611557
    CrossRefPubMedWeb of Science
  26. 26.↵
    1. Haider L,
    2. Simeonidou C,
    3. Steinberger G, et al
    . Multiple sclerosis deep grey matter: the relation between demyelination, neurodegeneration, inflammation and iron. J Neurol Neurosurg Psychiatry 2014;85:1386–95 doi:10.1136/jnnp-2014-307712 pmid:24899728
    Abstract/FREE Full Text
  27. 27.↵
    1. Hametner S,
    2. Endmayr V,
    3. Deistung A, et al
    . The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation: a biochemical and histological validation study. Neuroimage 2018;179:117–33 doi:10.1016/j.neuroimage.2018.06.007 pmid:29890327
    CrossRefPubMed
  28. 28.↵
    1. Benarroch EE
    . Pulvinar: associative role in cortical function and clinical correlations. Neurology 2015;84:738–47 doi:10.1212/WNL.0000000000001276 pmid:25609762
    Abstract/FREE Full Text
  29. 29.↵
    1. Poretto V,
    2. Petracca M,
    3. Saiote C, et al
    . A composite measure to explore visual disability in primary progressive multiple sclerosis. Mult Scler J Exp Transl Clin 2017;3:2055217317709620 doi:10.1177/2055217317709620 pmid:28607759
    CrossRefPubMed
  30. 30.↵
    1. Cocozza S,
    2. Pontillo G,
    3. Lanzillo R, et al
    . MRI features suggestive of gadolinium retention do not correlate with Expanded Disability Status Scale worsening in multiple sclerosis. Neuroradiology 2019;61:155–62 doi:10.1007/s00234-018-02150-4 pmid:30617409
    CrossRefPubMed
  31. 31.↵
    1. Tedeschi E,
    2. Palma G,
    3. Canna A, et al
    . In vivo dentate nucleus MRI relaxometry correlates with previous administration of gadolinium-based contrast agents. Eur Radiol 2016;26:4577–84 doi:10.1007/s00330-016-4245-2 pmid:26905870
    CrossRefPubMed
  32. 32.↵
    1. Harder SL,
    2. Hopp KM,
    3. Ward H, et al
    . Mineralization of the deep gray matter with age: a retrospective review with susceptibility-weighted MR imaging. AJNR Am J Neuroradiol 2008;29:176–83 doi:10.3174/ajnr.A0770 pmid:17989376
    CrossRefPubMed
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 42 (7)
American Journal of Neuroradiology
Vol. 42, Issue 7
1 Jul 2021
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Unraveling Deep Gray Matter Atrophy and Iron and Myelin Changes in Multiple Sclerosis
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
G. Pontillo, M. Petracca, S. Monti, M. Quarantelli, C. Criscuolo, R. Lanzillo, E. Tedeschi, A. Elefante, V. Brescia Morra, A. Brunetti, S. Cocozza, G. Palma
Unraveling Deep Gray Matter Atrophy and Iron and Myelin Changes in Multiple Sclerosis
American Journal of Neuroradiology Jul 2021, 42 (7) 1223-1230; DOI: 10.3174/ajnr.A7093

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Unraveling Deep Gray Matter Atrophy and Iron and Myelin Changes in Multiple Sclerosis
G. Pontillo, M. Petracca, S. Monti, M. Quarantelli, C. Criscuolo, R. Lanzillo, E. Tedeschi, A. Elefante, V. Brescia Morra, A. Brunetti, S. Cocozza, G. Palma
American Journal of Neuroradiology Jul 2021, 42 (7) 1223-1230; DOI: 10.3174/ajnr.A7093
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Molecular and micro-architectural mapping of gray matter alterations in psychosis
  • Quantitative MRI in Multiple Sclerosis: From Theory to Application
  • Crossref (36)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain
    Hyeong-Geol Shin, Jingu Lee, Young Hyun Yun, Seong Ho Yoo, Jinhee Jang, Se-Hong Oh, Yoonho Nam, Sehoon Jung, Sunhye Kim, Masaki Fukunaga, Woojun Kim, Hyung Jin Choi, Jongho Lee
    NeuroImage 2021 240
  • Cerebral Iron Deposition in Neurodegeneration
    Petr Dusek, Tim Hofer, Jan Alexander, Per M. Roos, Jan O. Aaseth
    Biomolecules 2022 12 5
  • Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group
    Berkin Bilgic, Mauro Costagli, Kwok‐Shing Chan, Jeff Duyn, Christian Langkammer, Jongho Lee, Xu Li, Chunlei Liu, José P. Marques, Carlos Milovic, Simon Daniel Robinson, Ferdinand Schweser, Karin Shmueli, Pascal Spincemaille, Sina Straub, Peter van Zijl, Yi Wang
    Magnetic Resonance in Medicine 2024 91 5
  • Clinical and neuroimaging findings in MOGAD–MRI and OCT
    Frederik Bartels, Angelo Lu, Frederike Cosima Oertel, Carsten Finke, Friedemann Paul, Claudia Chien
    Clinical and Experimental Immunology 2021 206 3
  • Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple Sclerosis
    Maria Petracca, Giuseppe Pontillo, Marcello Moccia, Antonio Carotenuto, Sirio Cocozza, Roberta Lanzillo, Arturo Brunetti, Vincenzo Brescia Morra
    Brain Sciences 2021 11 3
  • Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach
    Giuseppe Pontillo, Simone Penna, Sirio Cocozza, Mario Quarantelli, Michela Gravina, Roberta Lanzillo, Stefano Marrone, Teresa Costabile, Matilde Inglese, Vincenzo Brescia Morra, Daniele Riccio, Andrea Elefante, Maria Petracca, Carlo Sansone, Arturo Brunetti
    European Radiology 2022 32 8
  • Radiation Pneumonitis in Thoracic Cancer Patients: Multi-Center Voxel-Based Analysis
    Giuseppe Palma, Serena Monti, Roberto Pacelli, Zhongxing Liao, Joseph O. Deasy, Radhe Mohan, Laura Cella
    Cancers 2021 13 14
  • The ageing central nervous system in multiple sclerosis: the imaging perspective
    Massimo Filippi, Paolo Preziosa, Frederik Barkhof, Olga Ciccarelli, Andrea Cossarizza, Nicola De Stefano, Claudio Gasperini, Ruth Geraldes, Cristina Granziera, Lukas Haider, Hans Lassmann, Monica Margoni, Giuseppe Pontillo, Stefan Ropele, Àlex Rovira, Jaume Sastre-Garriga, Tarek A Yousry, Maria A Rocca
    Brain 2024 147 11
  • Clinical correlates of R1 relaxometry and magnetic susceptibility changes in multiple sclerosis: a multi-parameter quantitative MRI study of brain iron and myelin
    Giuseppe Pontillo, Maria Petracca, Serena Monti, Mario Quarantelli, Roberta Lanzillo, Teresa Costabile, Antonio Carotenuto, Fabio Tortora, Andrea Elefante, Vincenzo Brescia Morra, Arturo Brunetti, Giuseppe Palma, Sirio Cocozza
    European Radiology 2022 33 3
  • Iron metabolism disorder and multiple sclerosis: a comprehensive analysis
    Chao Tang, Jiaxin Yang, Chaomin Zhu, Yaqi Ding, Sushuang Yang, Bingyang Xu, Dian He
    Frontiers in Immunology 2024 15

More in this TOC Section

Adult Brain

  • Diagnostic Neuroradiology of Monoclonal Antibodies
  • Segmentation of Brain Metastases with BLAST
  • NCCT vs. MRI for Brain Atrophy in Acute Stroke
Show more Adult Brain

Functional

  • Glutaric Aciduria Type 1: DK vs. Conventional MRI
  • Kurtosis and Epileptogenic Tubers: A Pilot Study
  • WM Neuroaxonal Loss in Type 1 Diabetes
Show more Functional

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editors Choice
  • Fellow Journal Club
  • Letters to the Editor

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

Special Collections

  • Special Collections

Resources

  • News and Updates
  • Turn around Times
  • Submit a Manuscript
  • Author Policies
  • Manuscript Submission Guidelines
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Submit a Case
  • Become a Reviewer/Academy of Reviewers
  • Get Peer Review Credit from Publons

Multimedia

  • AJNR Podcast
  • AJNR SCANtastic
  • Video Articles

About Us

  • About AJNR
  • Editorial Board
  • Not an AJNR Subscriber? Join Now
  • Alerts
  • Feedback
  • Advertise with us
  • Librarian Resources
  • Permissions
  • Terms and Conditions

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire