Evidence map›Paper›PMID 31412310›Full record

ArticleNeuroImage. Clinical2019

Data fusion detects consistent relations between non-lesional white matter myelin, executive function, and clinical characteristics in multiple sclerosis.

Tobias R Baumeister, Sue-Jin Lin, Irene Vavasour, Shannon Kolind, Brenda Kosaka, David K B Li, Anthony Traboulsee, Alex MacKay, Martin J McKeown

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

9 authors.

Tobias R BaumeisterSchool of Biomedical Engineering, The University of British Columbia, Canada.
Sue-Jin LinGraduate Program in Neuroscience, The University of British Columbia, Canada.
Irene VavasourDepartment of Radiology, The University of British Columbia, Canada.
Shannon KolindDepartment of Radiology, The University of British Columbia, Canada; Faculty of Medicine, Division of Neurology, The University of British Columbia, Canada; Department of Physics and Astronomy, The University of British Columbia, Canada.
Brenda KosakaDepartment of Psychiatry, The University of British Columbia, Canada.
David K B LiDepartment of Radiology, The University of British Columbia, Canada.
Anthony TraboulseeDepartment of Radiology, The University of British Columbia, Canada; Faculty of Medicine, Division of Neurology, The University of British Columbia, Canada.
Alex MacKayDepartment of Radiology, The University of British Columbia, Canada; Department of Physics and Astronomy, The University of British Columbia, Canada.
Martin J McKeownFaculty of Medicine, Division of Neurology, The University of British Columbia, Canada. Electronic address: martin.mckeown@ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs) were determined. A data-fusion method, multiset canonical correlation analysis (MCCA), was used to investigate the multivariate, deterministic joint relations between MWF, executive function, and demographic and clinical characteristics. MCCA revealed one significant component (p = 0.009) which consisted of three linked profiles, with a pairwise correlation between the MWF and cognitive profiles of r = 0.37, a correlation between MWF and demographics profiles of r = 0.31, and between cognitive and demographics profiles r = 0.64. White matter ROIs representing long-range intra-hemispheric tracts and ROIs connecting the two hemispheres were positively related through their individual profiles to overall cognitive performance, education and female gender, while age, EDSS, and disease duration were related negatively. Surprisingly, lesions within the ROIs had a negligible effect on overall relations between imaging, cognitive, and demographic variables. These findings indicate that there is a strong association between a pattern of MWF values and cognitive performance in MS, which is modulated by age, education, and disease severity. Moreover, this consistent relation involves multiple white matter regions and is separate from the influence of lesions.

Indexed as

Data Interpretation, StatisticalAdultExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingMultivariate AnalysisMyelin SheathPyramidal TractsWhite MatterBrainCognitive performanceMultiple sclerosisMultiset canonical correlation analysisMyelin water fraction

Identifiers

PMID31412310
PMCPMC6704047

What OpenQuestion holds

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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.