Evidence map›Paper›PMID 34601309›Full record

ArticleNeuroImage. Clinical2021

White matter alterations and cognitive outcomes in children born very low birth weight.

Julie Sato, Marlee M Vandewouw, Nicole Bando, Helen M Branson, Deborah L O'Connor, Sharon L Unger, Margot J Taylor

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 15 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

7 authors at 4 institutions in 1 country.

Julie SatoDiagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Psychology, University of Toronto, Toronto, Ontario, Canada; Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada. Electronic address: julie.sato@sickkids.ca.
Marlee M VandewouwDiagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada; Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
Nicole BandoTranslational Medicine, SickKids Research Institute, Toronto, Ontario, Canada.
Helen M BransonDiagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Medical Imaging, University of Toronto, Ontario, Canada.
Deborah L O'ConnorTranslational Medicine, SickKids Research Institute, Toronto, Ontario, Canada; Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada; Paediatrics, Mount Sinai Health, Toronto, Ontario, Canada.
Sharon L UngerNutritional Sciences, University of Toronto, Toronto, Ontario, Canada; Paediatrics, University of Toronto, Toronto, Ontario, Canada; Paediatrics, Mount Sinai Health, Toronto, Ontario, Canada; Division of Neonatology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Margot J TaylorDiagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Psychology, University of Toronto, Toronto, Ontario, Canada; Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada; Medical Imaging, University of Toronto, Ontario, Canada; Paediatrics, University of Toronto, Toronto, Ontario, Canada.
Hospital for Sick Children · CAUniversity of Toronto · CAMount Sinai Hospital · CASickKids Foundation · CA

Funding

CIHR FDN 143233CIHR FHG 129919
6 · The paper itself

Abstract

backgroundVery low birth weight (VLBW) infants are at risk for disrupted white matter maturation, yet little is known about the contributing factors, particularly at preschool-age when cognitive difficulties begin to emerge. We examined white matter microstructure in five-year-old VLBW and full-term (FT) children, and its association with cognitive outcomes and birth weight.

methodsMulti-shell diffusion and MR images were obtained for 41 VLBW (mean birth weight: 1028.6 ± 256.8 g) and 26 FT (3295.4 ± 493.9 g) children. Fractional anisotropy (FA), radial diffusivity (RD), neurite orientation dispersion index (ODI) and density index (NDI) were estimated using diffusion tensor and neurite orientation dispersion and density imaging models. Between-group analyses used a general linear model with group and sex as explanatory variables. Within-group associations between white matter microstructure, cognitive outcomes and birth weight were also investigated.

resultsVLBW compared to FT children showed lower FA and NDI across widespread white matter regions. Smaller clusters of atypical ODI were also found in VLBW children. Within-group analyses in FT children revealed that lower RD and higher NDI were associated with vocabulary acquisition and working memory. In VLBW children, higher FA and NDI, and lower RD and ODI, were associated with improved processing speed. In both groups, FA was positively associated with birth weight.

conclusionsOur findings demonstrate white matter alterations in young VLBW children, including widespread reductions in axon density that may reflect sustained myelination disruptions. The associations with cognitive outcomes may also highlight which of the VLBW children are at higher risk for later cognitive difficulties.

Indexed as

White MatterBrainChildChild, PreschoolCognitionDiffusion Tensor ImagingHumansInfantInfant, NewbornInfant, Very Low Birth WeightChildrenCognitionDiffusion tensor imagingVery low birth weightWhite matter

Identifiers

PMID34601309
PMCPMC8496319
OpenAlexW3202356255

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.