Evidence map›Paper›PMID 32935834›Full record

ArticleBrain : a journal of neurology2020

7 T imaging reveals a gradient in spinal cord lesion distribution in multiple sclerosis.

Russell Ouellette, Constantina A Treaba, Tobias Granberg, Elena Herranz, Valeria Barletta, Ambica Mehndiratta, Benjamin De Leener, Shahamat Tauhid, Fawad Yousuf, Sarah M Dupont and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. ODC1 restricts meningeal B cell age-associated-like phenotype and function in multiple sclerosis: A human and experimental study.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. A multi-compartment model for pathological connectomes.Network neuroscience (Cambridge, Mass.) · 2025
    Article
  7. Article
  8. Decoding Gray Matter Involvement in Multiple Sclerosis via Imaging.Neuroimaging clinics of North America · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Advanced MRI quantification of neuroinflammatory disorders.Journal of neuroscience research · 2022
    Article
  15. Review
  16. Review
  17. Review
  18. Leptomeningeal enhancement in multiple sclerosis demonstrates posterior predilection and TMultiple sclerosis journal - experimental, translational and clinical
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 3 countries.

Russell OuelletteAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Constantina A TreabaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Tobias GranbergAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Elena HerranzAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Valeria BarlettaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Ambica MehndirattaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Benjamin De LeenerDepartment of Computer Engineering and Software Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Shahamat TauhidHarvard Medical School, Boston, MA, USA.
Fawad YousufHarvard Medical School, Boston, MA, USA.
Sarah M DupontNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Eric C KlawiterHarvard Medical School, Boston, MA, USA.
Jacob A SloaneHarvard Medical School, Boston, MA, USA.
Rohit BakshiHarvard Medical School, Boston, MA, USA.
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Caterina MaineroAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Harvard University · USBrigham and Women's Hospital · USPolytechnique Montréal · CAKarolinska University Hospital · SEBeth Israel Deaconess Medical Center · USMassachusetts General Hospital · US

Funding

Canadian Institute of Health Research FDN-143263
6 · The paper itself

Abstract

We used 7 T MRI to: (i) characterize the grey and white matter pathology in the cervical spinal cord of patients with early relapsing-remitting and secondary progressive multiple sclerosis; (ii) assess the spinal cord lesion spatial distribution and the hypothesis of an outside-in pathological process possibly driven by CSF-mediated immune cytotoxic factors; and (iii) evaluate the association of spinal cord pathology with brain burden and its contribution to neurological disability. We prospectively recruited 20 relapsing-remitting, 15 secondary progressive multiple sclerosis participants and 11 age-matched healthy control subjects to undergo 7 T imaging of the cervical spinal cord and brain as well as conventional 3 T brain acquisition. Cervical spinal cord imaging at 7 T was used to segment grey and white matter, including lesions therein. Brain imaging at 7 T was used to segment cortical and white matter lesions and 3 T imaging for cortical thickness estimation. Cervical spinal cord lesions were mapped voxel-wise as a function of distance from the inner central canal CSF pool to the outer subpial surface. Similarly, brain white matter lesions were mapped voxel-wise as a function of distance from the ventricular system. Subjects with relapsing-remitting multiple sclerosis showed a greater predominance of spinal cord lesions nearer the outer subpial surface compared to secondary progressive cases. Inversely, secondary progressive participants presented with more centrally located lesions. Within the brain, there was a strong gradient of lesion formation nearest the ventricular system that was most evident in participants with secondary progressive multiple sclerosis. Lesion fractions within the spinal cord grey and white matter were related to the lesion fraction in cerebral white matter. Cortical thinning was the primary determinant of the Expanded Disability Status Scale, white matter lesion fractions in the spinal cord and brain of the 9-Hole Peg Test and cortical thickness and spinal cord grey matter cross-sectional area of the Timed 25-Foot Walk. Spinal cord lesions were localized nearest the subpial surfaces for those with relapsing-remitting and the central canal CSF surface in progressive disease, possibly implying CSF-mediated pathogenic mechanisms in lesion development that may differ between multiple sclerosis subtypes. These findings show that spinal cord lesions involve both grey and white matter from the early multiple sclerosis stages and occur mostly independent from brain pathology. Despite the prevalence of cervical spinal cord lesions and atrophy, brain pathology seems more strongly related to physical disability as measured by the Expanded Disability Status Scale.

Indexed as

AdultCervical CordFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-Remittingbiomarkersdemyelinationimagingmultiple sclerosiswhite matter lesions

Identifiers

PMID32935834
PMCPMC8453298
OpenAlexW3087501340

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.