Evidence map›Paper›PMID 32572488›Full record

ArticleBrain : a journal of neurology2020

Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability.

Anne Kerbrat, Charley Gros, Atef Badji, Elise Bannier, Francesca Galassi, Benoit Combès, Raphaël Chouteau, Pierre Labauge, Xavier Ayrignac, Clarisse Carra-Dalliere and 26 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 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

42 citing papers in PubMed, 57 citations in OpenAlex.

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  20. Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
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

36 authors at 12 institutions in 6 countries.

Anne KerbratNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.
Charley GrosNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.
Atef BadjiNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.
Elise BannierCHU Rennes, Radiology department, Rennes, France.
Francesca GalassiUniv Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1128, Rennes, France.
Benoit CombèsUniv Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1128, Rennes, France.
Raphaël ChouteauCHU Rennes, Neurology department, Empenn U 1128 Inserm, CIC1414 Inserm, Rennes, France.
Pierre LabaugeMS Unit, Department of Neurology, CHU Montpellier, Montpellier, France.
Xavier AyrignacMS Unit, Department of Neurology, CHU Montpellier, Montpellier, France.
Clarisse Carra-DalliereMS Unit, Department of Neurology, CHU Montpellier, Montpellier, France.
Josefina MaranzanoMcConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada.
Tobias GranbergDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Russell OuelletteDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Leszek StawiarzDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Jan HillertDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Jason TalbottDepartment of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA.
Yasuhiko TachibanaNational Institute of Radiological Sciences, QST, Chiba, Chiba, Japan.
Masaaki HoriToho University Omori Medical Center, Tokyo, Japan.
Kouhei KamiyaToho University Omori Medical Center, Tokyo, Japan.
Lydia ChougarDepartment of Neuroradiology, La Pitié Salpêtrière Hospital, Paris, France.
Jennifer LefeuvreNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA.
Daniel S ReichNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA.
Govind NairNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA.
Paola ValsasinaNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Maria A RoccaNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Massimo FilippiNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Renxin ChuBrigham and Women's Hospital, Harvard Medical School, Boston, USA.
Rohit BakshiBrigham and Women's Hospital, Harvard Medical School, Boston, USA.
Virginie CallotAP-HM, Pôle d'imagerie médicale, Hôpital de la Timone, CEMEREM, Marseille, France.
Jean PelletierAix-Marseille Univ, CNRS, CRMBM, Marseille, France.
Bertrand AudoinAix-Marseille Univ, CNRS, CRMBM, Marseille, France.
Adil MaaroufAix-Marseille Univ, CNRS, CRMBM, Marseille, France.
Nicolas CollonguesBiopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, 67 000 Strasbourg, France.
Jérôme De SezeBiopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, 67 000 Strasbourg, France.
Gilles EdanCHU Rennes, Neurology department, Empenn U 1128 Inserm, CIC1414 Inserm, Rennes, France.
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.
Centre National de la Recherche Scientifique · FRInserm · FRKarolinska Institutet · SECentre Hospitalier Universitaire de Montpellier · FRNational Institutes of Health · USPolytechnique Montréal · CAVita-Salute San Raffaele University · ITBrigham and Women's Hospital · USToho University · JPMontreal Neurological Institute and Hospital · CASan Francisco General Hospital · USSorbonne Université · FR

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
6 · The paper itself

Abstract

Despite important efforts to solve the clinico-radiological paradox, correlation between lesion load and physical disability in patients with multiple sclerosis remains modest. One hypothesis could be that lesion location in corticospinal tracts plays a key role in explaining motor impairment. In this study, we describe the distribution of lesions along the corticospinal tracts from the cortex to the cervical spinal cord in patients with various disease phenotypes and disability status. We also assess the link between lesion load and location within corticospinal tracts, and disability at baseline and 2-year follow-up. We retrospectively included 290 patients (22 clinically isolated syndrome, 198 relapsing remitting, 39 secondary progressive, 31 primary progressive multiple sclerosis) from eight sites. Lesions were segmented on both brain (T2-FLAIR or T2-weighted) and cervical (axial T2- or T2*-weighted) MRI scans. Data were processed using an automated and publicly available pipeline. Brain, brainstem and spinal cord portions of the corticospinal tracts were identified using probabilistic atlases to measure the lesion volume fraction. Lesion frequency maps were produced for each phenotype and disability scores assessed with Expanded Disability Status Scale score and pyramidal functional system score. Results show that lesions were not homogeneously distributed along the corticospinal tracts, with the highest lesion frequency in the corona radiata and between C2 and C4 vertebral levels. The lesion volume fraction in the corticospinal tracts was higher in secondary and primary progressive patients (mean = 3.6 ± 2.7% and 2.9 ± 2.4%), compared to relapsing-remitting patients (1.6 ± 2.1%, both P < 0.0001). Voxel-wise analyses confirmed that lesion frequency was higher in progressive compared to relapsing-remitting patients, with significant bilateral clusters in the spinal cord corticospinal tracts (P < 0.01). The baseline Expanded Disability Status Scale score was associated with lesion volume fraction within the brain (r = 0.31, P < 0.0001), brainstem (r = 0.45, P < 0.0001) and spinal cord (r = 0.57, P < 0.0001) corticospinal tracts. The spinal cord corticospinal tracts lesion volume fraction remained the strongest factor in the multiple linear regression model, independently from cord atrophy. Baseline spinal cord corticospinal tracts lesion volume fraction was also associated with disability progression at 2-year follow-up (P = 0.003). Our results suggest a cumulative effect of lesions within the corticospinal tracts along the brain, brainstem and spinal cord portions to explain physical disability in multiple sclerosis patients, with a predominant impact of intramedullary lesions.

Indexed as

AdultBrainCervical CordDisability EvaluationDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisPyramidal TractsRetrospective Studiescorticospinal tractdisabilityMRImultiple sclerosis

Identifiers

PMID32572488
PMCPMC7364770
OpenAlexW3037795616

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Registered trials

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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.