Evidence map›Paper›PMID 30991305›Full record

ArticleNeuroImage. Clinical2019

Fixel-based analysis of the preterm brain: Disentangling bundle-specific white matter microstructural and macrostructural changes in relation to clinical risk factors.

Diliana Pecheva, J-Donald Tournier, Maximilian Pietsch, Daan Christiaens, Dafnis Batalle, Daniel C Alexander, Joseph V Hajnal, A David Edwards, Hui Zhang, Serena J Counsell

Open access · goldAbstract read
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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
9.8field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

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  6. Review
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  9. Review
  10. Advances in functional and diffusion neuroimaging research into the long-term consequences of very preterm birth.Journal of perinatology : official journal of the California Perinatal Association · 2021
    Review
  11. Article
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  15. Observational
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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 at 2 institutions in 1 country.

Diliana PechevaCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK.
J-Donald TournierCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK.
Maximilian PietschCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK.
Daan ChristiaensCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK.
Dafnis BatalleCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK; Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King''s College London, UK.
Daniel C AlexanderDepartment of Computer Science and Centre for Medical Image Computing, University College London, UK.
Joseph V HajnalCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK.
A David EdwardsCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK.
Hui ZhangDepartment of Computer Science and Centre for Medical Image Computing, University College London, UK.
Serena J CounsellCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK. Electronic address: Serena.counsell@kcl.ac.uk.
King's College London · GBUniversity College London · GB

Funding

Department of Health RP-PG-0707-10154Medical Research Council MR/K006355/1Medical Research Council MR/L011530/1
6 · The paper itself

Abstract

Diffusion MRI (dMRI) studies using the tensor model have identified abnormal white matter development associated with perinatal risk factors in preterm infants studied at term equivalent age (TEA). However, this model is an oversimplification of the underlying neuroanatomy. Fixel-based analysis (FBA) is a novel quantitative framework, which identifies microstructural and macrostructural changes in individual fibre populations within voxels containing crossing fibres. The aim of this study was to apply FBA to investigate the relationship between fixel-based measures of apparent fibre density (FD), fibre bundle cross-section (FC), and fibre density and cross-section (FDC) and perinatal risk factors in preterm infants at TEA. We studied 50 infants (28 male) born at 24.0-32.9 (median 30.4) weeks gestational age (GA) and imaged at 38.6-47.1 (median 42.1) weeks postmenstrual age (PMA). dMRI data were acquired in non-collinear directions with b-value 2500 s/mm

Indexed as

BrainDiffusion Magnetic Resonance ImagingFemaleGestational AgeHumansInfant, NewbornInfant, PrematureMaleRisk FactorsWhite MatterBrainDiffusion MRIFixel-based analysisPreterm

Identifiers

PMID30991305
PMCPMC6462822
OpenAlexW2938461942

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.