Evidence map›Paper›PMID 37067096›Full record

ArticleHuman brain mapping2023

High-frequency longitudinal white matter diffusion- and myelin-based MRI database: Reliability and variability.

Manon Edde, Guillaume Theaud, Matthieu Dumont, Antoine Théberge, Alex Valcourt-Caron, Guillaume Gilbert, Jean-Christophe Houde, Loika Maltais, François Rheault, Federico Spagnolo and 3 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

13 authors at 3 institutions in 3 countries.

Manon EddeSherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID 0000-0002-4181-8031
Guillaume TheaudImeka Solutions, Inc., Sherbrooke, QC, Canada.
Matthieu DumontImeka Solutions, Inc., Sherbrooke, QC, Canada.
Antoine ThébergeSherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada.
Alex Valcourt-CaronSherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada.
Guillaume GilbertMR Clinical Science, Philips Healthcare Canada, Mississauga, Ontario, Canada.
Jean-Christophe HoudeImeka Solutions, Inc., Sherbrooke, QC, Canada.
Loika MaltaisImeka Solutions, Inc., Sherbrooke, QC, Canada.
François RheaultMedical Imaging and Neuroinformatic (MINi) Lab, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID 0000-0002-0097-8004
Federico SpagnoloPharma Research and Early Development, Neuroscience and Rare Diseases Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Muhamed BarakovicPharma Research and Early Development, Neuroscience and Rare Diseases Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Stefano MagonPharma Research and Early Development, Neuroscience and Rare Diseases Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Maxime DescoteauxSherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada.
Université de Sherbrooke · CARoche (Switzerland) · CHPhilips (Finland) · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the consistency of quantitative MRI measurements is critical for inclusion in longitudinal studies and clinical trials. Intraclass coefficient correlation and coefficient of variation were used to evaluate the different consistency aspects of diffusion- and myelin-based MRI measures. Multi-shell diffusion and inhomogeneous magnetization transfer data sets were collected from 20 healthy adults at a high-frequency of five MRI sessions. The consistency was evaluated across whole bundles and the track-profile along the bundles. The impact of the fiber populations on the consistency was also evaluated using the number of fiber orientations map. For whole and profile bundles, moderate to high reliability of diffusion and myelin measures were observed. We report higher reliability of measures for multiple fiber populations than single. The overall portrait of the most consistent measurements and bundles drawn from a wide range of MRI techniques presented here will be particularly useful for identifying reliable biomarkers capable of detecting, monitoring and predicting white matter changes in clinical applications and has the potential to inform patient-specific treatment strategies.

Indexed as

White MatterAdultBrainHumansLongitudinal StudiesMagnetic Resonance ImagingMyelin SheathReproducibility of Resultsdiffusionhealthy subjectMRImyelinreliabilityvariabilitywhite matter

Identifiers

PMID37067096
PMCPMC10203793
OpenAlexW4366083018

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.