Evidence map›Paper›PMID 32469154›Full record

ArticleJournal of magnetic resonance imaging : JMRI2020

Longitudinal Structural MRI in Neurologically Healthy Adults.

Sarah Gregory, Keith R Lohse, Eileanoir B Johnson, Blair R Leavitt, Alexandra Durr, Raymund A C Roos, Geraint Rees, Sarah J Tabrizi, Rachael I Scahill, Michael Orth

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2020. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Tracking Huntington's Disease Progression Using Motor, Functional, Cognitive, and Imaging Markers.Movement disorders : official journal of the Movement Disorder Society · 2021
    Article
  4. Diffusion imaging in Huntington's disease: comprehensive review.Journal of neurology, neurosurgery, and psychiatry · 2020
    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

10 authors.

Sarah GregoryHuntington's Disease Research Centre, Institute of Neurology, University College London, London, UK.ORCID 0000-0003-4620-6963
Keith R LohseDepartment of Health, Kinesiology, and Recreation, University of Utah, Salt Lake City, Utah, USA.
Eileanoir B JohnsonHuntington's Disease Research Centre, Institute of Neurology, University College London, London, UK.
Blair R LeavittCentre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
Alexandra DurrAPHP Department of Genetics, Pitié-Salpêtrière University Hospital, and Institut du Cerveau et de la Moell épinière (ICM), Sorbonne Université, Paris, France.
Raymund A C RoosDepartment of Neurology, Leiden University Medical Centre, Leiden, The Netherlands.
Geraint ReesWellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, UK.
Sarah J TabriziHuntington's Disease Research Centre, Institute of Neurology, University College London, London, UK.
Rachael I ScahillHuntington's Disease Research Centre, Institute of Neurology, University College London, London, UK.
Michael OrthDepartment of Neurology, Ulm University Hospital, Ulm, Germany.

Funding

Auburn University 170138Canadian Institute for Advanced Research PTJ 153330Wellcome TrustWellcome Trust 200181/Z/15/Z
6 · The paper itself

Abstract

backgroundStructural brain MRI measures are frequently examined in both healthy and clinical groups, so an understanding of how these measures vary over time is desirable. PURPOSE: To test the stability of structural brain MRI measures over time. POPULATION: In all, 112 healthy volunteers across four sites. STUDY TYPE: Retrospective analysis of prospectively acquired data. FIELD STRENGTH/SEQUENCE: 3 T, magnetization prepared - rapid gradient echo, and single-shell diffusion sequence. ASSESSMENT: Diffusion, cortical thickness, and volume data from the sensorimotor network were assessed for stability over time across 3 years. Two sites used a Siemens MRI scanner, two sites a Philips scanner. STATISTICAL TESTS: The stability of structural measures across timepoints was assessed using intraclass correlation coefficients (ICC) for absolute agreement, cutoff ≥0.80, indicating high reliability. Mixed-factorial analysis of variance (ANOVA) was used to examine between-site and between-scanner type differences in individuals over time.

resultsAll cortical thickness and gray matter volume measures in the sensorimotor network, plus all diffusivity measures (fractional anisotropy plus mean, axial and radial diffusivities) for primary and premotor cortices, primary somatosensory thalamic connections, and the cortico-spinal tract met ICC. The majority of measures differed significantly between scanners, with a trend for sites using Siemens scanners to produce larger values for connectivity, cortical thickness, and volume measures than sites using Philips scanners. DATA

conclusionLevels of reliability over time for all tested structural MRI measures were generally high, indicating that any differences between measurements over time likely reflect underlying biological differences rather than inherent methodological variability. LEVEL OF EVIDENCE: 4. TECHNICAL EFFICACY STAGE: 1.

Indexed as

Gray MatterMagnetic Resonance ImagingAdultBrainHumansReproducibility of ResultsRetrospective Studiescortical thicknesscortical volumediffusionreliabilitystatistical power

Identifiers

PMID32469154
PMCPMC8425332

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.