Evidence map›Paper›PMID 33155763›Full record

ArticleHuman brain mapping2021

Voxel-Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis.

Emilie Lommers, Camille Guillemin, Gilles Reuter, Eve Fouarge, Gaël Delrue, Fabienne Collette, Christian Degueldre, Evelyne Balteau, Pierre Maquet, Christophe Phillips

Abstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Emilie LommersGIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.ORCID 0000-0001-7965-4629
Camille GuilleminGIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.
Gilles ReuterGIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.
Eve FouargeGIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.
Gaël DelrueClinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium.
Fabienne ColletteGIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.
Christian DegueldreGIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.
Evelyne BalteauGIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.
Pierre MaquetGIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.
Christophe PhillipsGIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite robust postmortem evidence and potential clinical importance of gray matter (GM) pathology in multiple sclerosis (MS), assessing GM damage by conventional magnetic resonance imaging (MRI) remains challenging. This prospective cross-sectional study aimed at characterizing the topography of GM microstructural and volumetric alteration in MS using, in addition to brain atrophy measures, three quantitative MRI (qMRI) parameters-magnetization transfer (MT) saturation, longitudinal (R1), and effective transverse (R2*) relaxation rates, derived from data acquired during a single scanning session. Our study involved 35 MS patients (14 relapsing-remitting MS; 21 primary or secondary progressive MS) and 36 age-matched healthy controls (HC). The qMRI maps were computed and segmented in different tissue classes. Voxel-based quantification (VBQ) and voxel-based morphometry (VBM) statistical analyses were carried out using multiple linear regression models. In MS patients compared with HC, three configurations of GM microstructural/volumetric alterations were identified. (a) Co-localization of GM atrophy with significant reduction of MT, R1, and/or R2*, usually observed in primary cortices. (b) Microstructural modifications without significant GM loss: hippocampus and paralimbic cortices, showing reduced MT and/or R1 values without significant atrophy. (c) Atrophy without significant change in microstructure, identified in deep GM nuclei. In conclusion, this quantitative multiparametric voxel-based approach reveals three different spatially-segregated combinations of GM microstructural/volumetric alterations in MS that might be associated with different neuropathology.

Indexed as

AdultAtrophyCerebral CortexCross-Sectional StudiesFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisNeuroimagingatrophydemyelinationgray mattermultiple sclerosisquantitative MRIvoxel-based analysis

Identifiers

PMID33155763
PMCPMC7856642

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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.