Evidence map›Paper›PMID 33822913›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

Phenotyping the Preterm Brain: Characterizing Individual Deviations From Normative Volumetric Development in Two Large Infant Cohorts.

Ralica Dimitrova, Sophie Arulkumaran, Olivia Carney, Andrew Chew, Shona Falconer, Judit Ciarrusta, Thomas Wolfers, Dafnis Batalle, Lucilio Cordero-Grande, Anthony N Price and 19 more

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
9.3field-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

19 citing papers in PubMed, 42 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

29 authors at 4 institutions in 3 countries.

Ralica DimitrovaCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.ORCID 0000-0002-6903-7990
Sophie ArulkumaranCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Olivia CarneyCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Andrew ChewCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Shona FalconerCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Judit CiarrustaCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.ORCID 0000-0001-7941-5230
Thomas WolfersDonders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525EN, the Netherlands.
Dafnis BatalleCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.ORCID 0000-0003-2097-979X
Lucilio Cordero-GrandeCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Anthony N PriceCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Rui P A G TeixeiraCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Emer HughesCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Alexia EgloffCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Jana HutterCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Antonios MakropoulosBiomedical Image Analysis Group, Department of Computing, Imperial College London, London SW7 2AZ, UK.
Emma C RobinsonCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Andreas SchuhBiomedical Image Analysis Group, Department of Computing, Imperial College London, London SW7 2AZ, UK.
Katy VecchiatoCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Johannes K SteinwegCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.ORCID 0000-0002-3366-0932
Russell MacleodCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Andre F MarquandDonders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525EN, the Netherlands.
Grainne McAlonanDepartment of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK.
Mary A RutherfordCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Serena J CounsellCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Stephen M SmithCentre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Daniel RueckertBiomedical Image Analysis Group, Department of Computing, Imperial College London, London SW7 2AZ, UK.
Joseph V HajnalCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Jonathan O'MuircheartaighCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
A David EdwardsCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
King's College London · GBInstitute of Group Analysis · GBRadboud University Nijmegen · NLUniversity of Oxford · GB

Funding

Department of Health RP-PG-0707-10154European Research Council FR/2007-2013Innovative Medicines Initiative 777394Maudsley Biomedical Research CentreMedical Research Council MR/K006355/1Medical Research Council MR/N026063/1Medical Research Council Centre for Neurodevelopmental Disorders MR/N026063/1National Institute for Health Research RP-PG-0707-10154Wellcome Engineering and Physical Sciences Research Council Centre for Medical Engineering 203148/Z/16/ZWellcome Trust 203148Wellcome Trust 206675Wellcome Trust and the Royal Society 206675/Z/17/Z
6 · The paper itself

Abstract

The diverse cerebral consequences of preterm birth create significant challenges for understanding pathogenesis or predicting later outcome. Instead of focusing on describing effects common to the group, comparing individual infants against robust normative data offers a powerful alternative to study brain maturation. Here we used Gaussian process regression to create normative curves characterizing brain volumetric development in 274 term-born infants, modeling for age at scan and sex. We then compared 89 preterm infants scanned at term-equivalent age with these normative charts, relating individual deviations from typical volumetric development to perinatal risk factors and later neurocognitive scores. To test generalizability, we used a second independent dataset comprising of 253 preterm infants scanned using different acquisition parameters and scanner. We describe rapid, nonuniform brain growth during the neonatal period. In both preterm cohorts, cerebral atypicalities were widespread, often multiple, and varied highly between individuals. Deviations from normative development were associated with respiratory support, nutrition, birth weight, and later neurocognition, demonstrating their clinical relevance. Group-level understanding of the preterm brain disguises a large degree of individual differences. We provide a method and normative dataset that offer a more precise characterization of the cerebral consequences of preterm birth by profiling the individual neonatal brain.

Indexed as

Birth WeightBrainChild DevelopmentCognitionCohort StudiesFemaleGestational AgeHumansInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleNormal DistributionPhenotypePregnancyPremature Birthearly brain developmentheterogeneitynormative modelingpreterm birthvolumetric MRI

Identifiers

PMID33822913
PMCPMC8258435
OpenAlexW3130668886

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.