Evidence map›Paper›PMID 37506096›Full record

ArticlePloS one2023

Patterns of brain atrophy in recently-diagnosed relapsing-remitting multiple sclerosis.

Rozanna Meijboom, Elizabeth N York, Agniete Kampaite, Mathew A Harris, Nicole White, Maria Del C Valdés Hernández, Michael J Thrippleton, N J J MacDougall, Peter Connick, David P J Hunt and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.8field-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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

13 authors at 3 institutions in 1 country.

Rozanna MeijboomCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-3346-260X
Elizabeth N YorkCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-4310-8607
Agniete KampaiteCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Mathew A HarrisDepartment of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Nicole WhiteCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Maria Del C Valdés HernándezCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-2771-6546
Michael J ThrippletonCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
N J J MacDougallAnne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-4195-5538
Peter ConnickCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-3892-8037
David P J HuntCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Siddharthan ChandranCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Adam D WaldmanCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
FutureMS Consortium
University of Edinburgh · GBMRC Centre for Regenerative Medicine · GBUK Dementia Research Institute · GB

Funding

Chief Scientist Office MMPP/01Chief Scientist Office SMS_IC010Medical Research CouncilWellcome TrustWellcome Trust 104916/Z/14/ZWellcome Trust 215621/Z/19/Z
6 · The paper itself

Abstract

Recurrent neuroinflammation in relapsing-remitting MS (RRMS) is thought to lead to neurodegeneration, resulting in progressive disability. Repeated magnetic resonance imaging (MRI) of the brain provides non-invasive measures of atrophy over time, a key marker of neurodegeneration. This study investigates regional neurodegeneration of the brain in recently-diagnosed RRMS using volumetry and voxel-based morphometry (VBM). RRMS patients (N = 354) underwent 3T structural MRI <6 months after diagnosis and 1-year follow-up, as part of the Scottish multicentre 'FutureMS' study. MRI data were processed using FreeSurfer to derive volumetrics, and FSL for VBM (grey matter (GM) only), to establish regional patterns of change in GM and normal-appearing white matter (NAWM) over time throughout the brain. Volumetric analyses showed a decrease over time (q<0.05) in bilateral cortical GM and NAWM, cerebellar GM, brainstem, amygdala, basal ganglia, hippocampus, accumbens, thalamus and ventral diencephalon. Additionally, NAWM and GM volume decreased respectively in the following cortical regions, frontal: 14 out of 26 regions and 16/26; temporal: 18/18 and 15/18; parietal: 14/14 and 11/14; occipital: 7/8 and 8/8. Left GM and NAWM asymmetry was observed in the frontal lobe. GM VBM analysis showed three major clusters of decrease over time: 1) temporal and subcortical areas, 2) cerebellum, 3) anterior cingulum and supplementary motor cortex; and four smaller clusters within the occipital lobe. Widespread GM and NAWM atrophy was observed in this large recently-diagnosed RRMS cohort, particularly in the brainstem, cerebellar GM, and subcortical and occipital-temporal regions; indicative of neurodegeneration across tissue types, and in accord with limited previous studies in early disease. Volumetric and VBM results emphasise different features of longitudinal lobar and loco-regional change, however identify consistent atrophy patterns across individuals. Atrophy measures targeted to specific brain regions may provide improved markers of neurodegeneration, and potential future imaging stratifiers and endpoints for clinical decision making and therapeutic trials.

Indexed as

Central Nervous System DiseasesMultiple SclerosisMultiple Sclerosis, Relapsing-RemittingAtrophyBrainGray MatterHumansMagnetic Resonance Imaging

Identifiers

PMID37506096
PMCPMC10381059
OpenAlexW4385335541

What OpenQuestion holds

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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.