Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

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
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • 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

AJNR is seeking candidates for the AJNR Podcast Editor. Read the position description.

LetterLETTER

The Development of Subcortical Gray Matter Atrophy in Multiple Sclerosis: One Size Does Not Fit All

G. Pontillo, M. Petracca, S. Cocozza and A. Brunetti
American Journal of Neuroradiology September 2020, 41 (9) E80-E81; DOI: https://doi.org/10.3174/ajnr.A6698
G. Pontillo
aDepartment of Advanced Biomedical Sciences
  • 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
bDepartment of Neurosciences and Reproductive and Odontostomatological Sciences
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Petracca
S. Cocozza
aDepartment of Advanced Biomedical Sciences
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Cocozza
A. Brunetti
aDepartment of Advanced Biomedical Sciences
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Brunetti
  • Article
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Deep gray matter involvement is a relevant feature of multiple sclerosis.1 Indeed, atrophy of subcortical structures, especially the thalamus, occurs in early phases and continues throughout the disease course,2 showing a strong potential for the prediction of disability3 and cognitive impairment.4

However, despite its pathophysiologic and clinical relevance, what drives this typical pattern of neurodegeneration in MS remains partially unclear, probably including a combination of primary local neuroinflammatory and neurodegenerative pathologic processes and secondary effects from remote injury in other parts of the brain (mainly white matter) via anterograde/retrograde degeneration and/or spreading of inflammation along axonal pathways.5

The study by Kalinin et al,6 published in a recent issue of the American Journal of Neuroradiology, explores the impact of purely intracortical lesions compared with white matter lesions (WMLs) on the volumes of deep gray matter structures in a cohort of patients with relapsing-remitting MS (RRMS, n = 54), secondary-progressive MS (SPMS, n = 12), and primary-progressive MS (PPMS, n = 5). They found that patients with intracortical lesions had longer disease duration, greater disability, and more deep gray matter atrophy. WML burden was the main correlate of subcortical volume loss in patients with RRMS with a disease duration of <5 years and Expanded Disability Status Scale scores of <4.0, while a prominent impact of intracortical lesion volume on deep gray matter volumes, independent from WMLs, was found in patients with an SPMS course or longer disease duration and greater disability.

These results highlight an important point—namely that the relative weight of the different factors contributing to subcortical gray matter atrophy may vary with the disease phases and phenotypes. Indeed, if inflammation in the white matter, related to the formation of WMLs, is recognized as the major driving force for deep gray matter atrophy in early phases and a relapsing-remitting course,7 less is known about the mechanisms sustaining the enduring subcortical volume loss in chronic disease stages and a progressive course, when neuroinflammation in the white matter becomes less pronounced, as well as its impact on subcortical atrophy and disease progression.5

In this light, the correlation between cortical lesions and deep gray matter atrophy, reported by Kalinin et al,6 may reflect a second-order disconnection effect via thalamocortical radiations and corticothalamic tracts, and/or it may represent an epiphenomenon related to the prominent primary involvement of gray matter (both cortical and subcortical, simultaneously), which is known to characterize chronic disease stages and progressive phenotypes.1

Understanding the pathogenic processes underlying subcortical gray matter (primarily thalamic) atrophy in different phases of the disease would be critical in the determination of treatment strategies, potentially informing therapeutic choices with the aim of preventing the occurrence of thalamic damage and its detrimental consequences in terms of brain network economy and clinico-cognitive functioning.

To this end, recent multimodal MR imaging approaches combining the assessment of deep gray matter atrophy with the characterization of local microstructural properties, as inferred by diffusion imaging and susceptibility mapping, have yielded promising results, leading to the identification of new potential biomarkers of local pathology (eg, reduced susceptibility reflecting iron depletion in the thalamus) that may concur with, or even precede, the development of atrophy.7,8

For these reasons, we think that future longitudinal multimodal studies are strongly warranted, to unravel the causal relationship between deep gray matter atrophy and local and remote pathologic processes, as well as to understand how this complex interplay dynamically changes throughout the disease course. All along in this process, while adding pieces to the fascinating puzzle of MS pathophysiology, we should not forget John Wheeler's words of advice: “As our island of knowledge grows, so does the shore of our ignorance.”

Footnotes

  • Disclosures: Maria Petracca—UNRELATED: Travel/Accommodations/Meeting Expenses Unrelated to Activities Listed: Novartis. Sirio Cocozza—UNRELATED: Board Membership: Amicus Therapeutics, Comments: Advisory Board; Payment for Lectures Including Service on Speakers Bureaus: Sanofi, Amicus Therapeutics.

References

  1. 1.↵
    1. Geurts JJ,
    2. Barkhof F
    . Grey matter pathology in multiple sclerosis. Lancet Neurol 2008;7:841–51 doi:10.1016/S1474-4422(08)70191-1 pmid:18703006
    CrossRefPubMed
  2. 2.↵
    1. Azevedo CJ,
    2. Cen SY,
    3. Khadka S, et al
    . Thalamic atrophy in multiple sclerosis: a magnetic resonance imaging marker of neurodegeneration throughout disease. Ann Neurol 2018;83:223–34 doi:10.1002/ana.25150 pmid:29328531
    CrossRefPubMed
  3. 3.↵
    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
  4. 4.↵
    1. Eijlers AJC,
    2. van Geest Q,
    3. Dekker I, et al
    . Predicting cognitive decline in multiple sclerosis: a 5-year follow-up study. Brain 2018;141:2605–18 doi:10.1093/brain/awy202 pmid:30169585
    CrossRefPubMed
  5. 5.↵
    1. Calabrese M,
    2. Magliozzi R,
    3. Ciccarelli O, et al
    . Exploring the origins of grey matter damage in multiple sclerosis. Nat Rev Neurosci 2015;16:147–58 doi:10.1038/nrn3900 pmid:25697158
    CrossRefPubMed
  6. 6.↵
    1. Kalinin I,
    2. Makshakov G,
    3. Evdoshenko E
    . The impact of intracortical lesions on volumes of subcortical structures in multiple sclerosis. AJNR Am J Neuroradiol 2020;41:804–08 doi:10.3174/ajnr.A6513 pmid:32381540
    Abstract/FREE Full Text
  7. 7.↵
    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
  8. 8.↵
    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
  • © 2020 by American Journal of Neuroradiology
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 41 (9)
American Journal of Neuroradiology
Vol. 41, Issue 9
1 Sep 2020
  • 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.
The Development of Subcortical Gray Matter Atrophy in Multiple Sclerosis: One Size Does Not Fit All
(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. Cocozza, A. Brunetti
The Development of Subcortical Gray Matter Atrophy in Multiple Sclerosis: One Size Does Not Fit All
American Journal of Neuroradiology Sep 2020, 41 (9) E80-E81; DOI: 10.3174/ajnr.A6698

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
The Development of Subcortical Gray Matter Atrophy in Multiple Sclerosis: One Size Does Not Fit All
G. Pontillo, M. Petracca, S. Cocozza, A. Brunetti
American Journal of Neuroradiology Sep 2020, 41 (9) E80-E81; DOI: 10.3174/ajnr.A6698
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Footnotes
    • References
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref (1)
  • Google Scholar

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

  • Emerging deep learning techniques using magnetic resonance imaging data applied in multiple sclerosis and clinical isolated syndrome patients (Review)
    Eleftherios Kontopodis, Efrosini Papadaki, Eleftherios Trivzakis, Thomas Maris, Panagiotis Simos, Georgios Papadakis, Aristidis Tsatsakis, Demetrios Spandidos, Apostolos Karantanas, Kostas Marias
    Experimental and Therapeutic Medicine 2021 22 4

More in this TOC Section

  • Letter to the Editor regarding “Automated Volumetric Software in Dementia: Help or Hindrance to the Neuroradiologist?”
  • Reply:
  • Brain AVM’s Nidus: What if We Hadn’t Understood Anything?
Show more Letters

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

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

Special Collections

  • AJNR Awards
  • ASNR Foundation Special Collection
  • Most Impactful AJNR Articles
  • Photon-Counting CT
  • Spinal CSF Leak Articles (Jan 2020-June 2024)

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

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

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