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

Article Figures & Data

Figures

  • Tables
  • FIG 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 1.

    Image shows voxelwise analyses of iron maps. Clusters of significant between-group differences regarding unmodulated (top panel) and modulated (lower panel) iron maps for both the MS>HC (red-yellow, according to 1 - P value) and MS<HC (blue-light blue, according to 1 - P value) contrasts are presented, superimposed on the QSM template in the MNI space. Reprinted by permission from Springer Nature Customer Service Center GmbH: Springer Nature, Neuroradiology, European Society of Neuroradiology 2020, Copyright 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

  • FIG 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 2.

    Image shows voxelwise analyses of myelin maps. Clusters of significant between-group difference regarding modulated myelin maps for the MS<HC (blue-light blue, according to 1 - P value) contrast are presented, superimposed on the QSM template in the MNI space. No significant differences emerged for the MS>HC contrast or for unmodulated myelin maps. Reprinted by permission from Springer Nature Customer Service Center GmbH: Springer Nature, Neuroradiology, European Society of Neuroradiology 2020, Copyright 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

  • FIG 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 3.

    Between-group comparisons of MRI features regarding thalamic subnuclei. Boxplots at the y-axis show z scores (adjusted for the effect of age and sex in HC) of iron concentration and content (upper panel), myelin concentration and content (middle panel), and normalized volume (lower panel) of the corresponding thalamic subregions shown at the x-axis for both the MS and HC groups. Red asterisks mark significant between-group differences.

Tables

  • Figures
    • View popup
    Table 1:

    Demographic, clinical, and conventional MRI characteristics of the studied populationa

    MS (n = 91)HC (n = 55)P Value (MS vs HC)
    Age (yr)38.3 (SD, 11.1)41.6 (SD, 13.9).14
    Female sexb54 (59.3)27 (49.1).23
    Use of DMTb83 (91.2)––
    Progressive courseb20 (22.0)––
    DD (yr)11.2 (SD, 7.0)––
    EDSSc3.5 (2.5–4.5)––
    T2-LL (mL)11.4 (SD, 13.3)––
    Normalized brain volume (mL)1485.8 (SD, 88.6)1552.9 (SD, 76.4)<.001
    Normalized GM volume (mL)755.6 (SD, 62.8)794.7 (SD, 57.5)<.001
    Normalized WM volume (mL)730.2 (SD, 36.5)758.2 (SD, 31.7)<.001
    • Note:—– indicates not applicable; DMT, disease-modifying treatment.

    • ↵a Unless otherwise indicated, data are expressed as means (SD). Between-group differences regarding MRI measures are adjusted for age and sex.

    • ↵b Data are the number of subjects, with percentages in parentheses.

    • ↵c Data are medians, with interquartile range in parentheses.

    • View popup
    Table 2:

    Results of the ANCOVA analyses for the between-group comparisons regarding DGM structuresa

    MS (n = 91)HC (n = 55)Cohen’s DFP Value
    Normalized volume (mL)
     Thalamus19.2 (SD, 2.8)21.7 (SD, 1.9)1.1445.75<.001
     Caudate8.7 (SD, 1.5)9.7 (SD, 1.3)0.8827.10<.001
     Putamen12.6 (SD, 1.9)13.8 (SD, 1.6)0.8223.83<.001
     Globus pallidus4.5 (SD, 0.6)4.9 (SD, 0.4)0.7620.55<.001
    Iron concentration (mg/kg[DW])
     Thalamus5 (SD, 59)38 (SD, 51)0.6213.64<.001
     Caudate310 (SD, 103)271 (SD, 76)0.405.55.02b
     Putamen276 (SD, 112)243 (SD, 94)0.518.94.03b
     Globus pallidus786 (SD, 135)697 (SD, 128)0.6816.51<.001
    Myelin concentration (MVF[DW])
     Thalamus0.24 (SD, 0.06)0.22 (SD, 0.08)0.191.25.27
     Caudate0.19 (SD, 0.06)0.20 (SD, 0.08)0.060.10.76
     Putamen0.23 (SD, 0.06)0.22 (SD, 0.08)0.090.29.59
     Globus pallidus0.21 (SD, 0.06)0.20 (SD, 0.08)0.110.49.48
    Iron content (µg)
     Thalamus0.2 (SD, 1.1)0.8 (SD, 1.1)0.6313.93<.001
     Caudate2.7 (SD, 1.0)2.6 (SD, 0.8)0.030.04.84
     Putamen3.4 (SD, 1.4)3.3 (SD, 1.2)0.252.13.15
     Globus pallidus3.5 (SD, 6.8)3.4 (SD, 6.9)0.140.75.39
    Myelin content (mL)
     Thalamus4.6 (SD, 1.4)4.8 (SD, 1.7)0.211.51.22
     Caudate1.7 (SD, 0.8)1.9 (SD, 0.7)0.292.94.09
     Putamen2.9 (SD, 1.0)3.1 (SD, 1.0)0.191.32.25
     Globus pallidus0.9 (SD, 0.3)1.0 (SD, 0.4)0.090.34.56
    • Note:—degrees of freedom (df) , 141.

    • ↵a Descriptive statistics (mean [SD]) for DGM-related MRI features are reported, along with the effect sizes (Cohen’s D), test statistics (F), and exact probability (P value) values regarding between-group (MS versus HC) comparisons.

    • ↵b Not significant after false discovery rate correction.

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
  • ML for Glioma Molecular Subtype Prediction
  • Segmentation of Brain Metastases with BLAST
Show more Adult Brain

Functional

  • Glutaric Aciduria Type 1: DK vs. Conventional MRI
  • Kurtosis and Epileptogenic Tubers: A Pilot Study
  • Brain Iron in Niemann-Pick Type C: 7T Study
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