Evidence map›Paper›PMID 31103872›Full record

ArticleNeuroImage. Clinical2019

White matter microstructural differences identified using multi-shell diffusion imaging in six-year-old children born very preterm.

Julia M Young, Marlee M Vandewouw, Sarah I Mossad, Benjamin R Morgan, Wayne Lee, Mary Lou Smith, John G Sled, Margot J Taylor

Abstract 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 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 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

8 authors.

Julia M YoungDiagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada; Neurosciences and Mental Health, SickKids Research Institute, Toronto, ON, Canada; Department of Psychology, University of Toronto, Toronto, ON, Canada. Electronic address: julia.young@mail.utoronto.ca.
Marlee M VandewouwDiagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada; Neurosciences and Mental Health, SickKids Research Institute, Toronto, ON, Canada.
Sarah I MossadDiagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada; Neurosciences and Mental Health, SickKids Research Institute, Toronto, ON, Canada; Department of Psychology, University of Toronto, Toronto, ON, Canada.
Benjamin R MorganDiagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada; Neurosciences and Mental Health, SickKids Research Institute, Toronto, ON, Canada.
Wayne LeeDiagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada.
Mary Lou SmithDepartment of Psychology, Hospital for Sick Children, Toronto, ON, Canada; Neurosciences and Mental Health, SickKids Research Institute, Toronto, ON, Canada; Department of Psychology, University of Toronto, Toronto, ON, Canada.
John G SledTranslational Medicine, SickKids Research Institute, Toronto, ON, Canada; Department of Biomedical Physics, University of Toronto, Toronto, ON, Canada.
Margot J TaylorDiagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada; Neurosciences and Mental Health, SickKids Research Institute, Toronto, ON, Canada; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada; Department of Psychology, University of Toronto, Toronto, ON, Canada.

Funding

CIHR MOP-137115CIHR MOP-84399
6 · The paper itself

Abstract

introductionThe underlying microstructural properties of white matter differences in children born very preterm (<32 weeks gestational age) can be investigated in depth using multi-shell diffusion imaging. The present study compared white matter across the whole brain using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) metrics in children born very preterm and full-term children at six years of age. We also investigated associations between white matter microstructure with early brain injury and developmental outcomes.

methodMulti-shell diffusion imaging, T1-weighted anatomical MR images and developmental assessments were acquired in 23 children born very preterm (16 males; mean scan age: 6.57 ± 0.34 years) and 24 full-term controls (10 males, mean scan age: 6.62 ± 0.37 years). DTI metrics were obtained and neurite orientation dispersion index (ODI) and density index (NDI) were estimated using the NODDI diffusion model. FSL's tract-based spatial statistics were performed on traditional DTI metrics and NODDI metrics. Voxel-wise comparisons were performed to test between-group differences and within-group associations with developmental outcomes (intelligence and visual motor abilities) as well as early white matter injury and germinal matrix/intraventricular haemorrhage (GMH/IVH).

resultsIn comparison to term-born children, the children born very preterm exhibited lower fractional anisotropy (FA) across many white matter regions as well as higher mean diffusivity (MD), radial diffusivity (RD), and ODI. Within-group analyses of the children born very preterm revealed associations between higher FA and NDI with higher IQ and VMI. Lower ODI was found within the corona radiata in those with a history of white matter injury. Within the full-term group, associations were found between higher NDI and ODI with lower IQ.

conclusionChildren born very preterm exhibit lower FA and higher ODI than full-term children. NODDI metrics provide more biologically specific information beyond DTI metrics as well as additional information of the impact of prematurity and white matter microstructure on cognitive outcomes at six years of age.

Indexed as

BrainChildCohort StudiesDiffusion Tensor ImagingFemaleHumansInfant, PrematureMaleProspective StudiesWhite MatterCognitionDiffusion tensor imagingNeurite density indexOrientation dispersion indexPretermWhite matter

Identifiers

PMID31103872
PMCPMC6737393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.