Evidence map›Paper›PMID 32306044›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Heterogeneity in Brain Microstructural Development Following Preterm Birth.

Ralica Dimitrova, Maximilian Pietsch, Daan Christiaens, Judit Ciarrusta, Thomas Wolfers, Dafnis Batalle, Emer Hughes, Jana Hutter, Lucilio Cordero-Grande, Anthony N Price and 14 more

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
18.0field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 80 citations in OpenAlex.

  1. Article
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  3. Observational
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  10. Abnormal Local Cortical Functional Connectivity due to Interneuron Dysmaturation after Neonatal Intermittent Hypoxia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  11. Article
  12. Review
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  14. Neuronal Coupling Modes Show Differential Development in the Early Cortical Activity Networks of Human Newborns.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. [Recent research on the long-term neurodevelopmental outcomes of very preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Review
  19. Article
  20. 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

24 authors at 3 institutions in 4 countries.

Ralica DimitrovaCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Maximilian PietschCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Daan ChristiaensCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Judit CiarrustaCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Thomas WolfersDonders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radbound University, Nijmegen, 6525EN, the Netherlands.
Dafnis BatalleCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Emer HughesCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Jana HutterCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Lucilio Cordero-GrandeCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Anthony N PriceCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Andrew ChewCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Shona FalconerCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Katy VecchiatoCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Johannes K SteinwegCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Olivia CarneyCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Mary A RutherfordCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
J-Donald TournierCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Serena J CounsellCentre for the Developing Brain, Department of Perinatal Imaging and Health, 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, Radbound University, Nijmegen, 6525EN, the Netherlands.
Daniel RueckertBiomedical Image Analysis Group, Department of Computing, Imperial College London, London, SW7 2AZ, UK.
Joseph V HajnalCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Grainne McAlonanDepartment for Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.
A David EdwardsCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Jonathan O'MuircheartaighCentre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
King's College London · GBRadboud University Nijmegen · NLInstitute of Group Analysis · GB

Funding

Department of HealthMedical Research Council MC_U120088465Medical Research Council MR/K006355/1Medical Research Council MR/N026063/1Wellcome Trust 203148/Z/16/ZWellcome Trust 206675/Z/17/Z
6 · The paper itself

Abstract

Preterm-born children are at increased risk of lifelong neurodevelopmental difficulties. Group-wise analyses of magnetic resonance imaging show many differences between preterm- and term-born infants but do not reliably predict neurocognitive prognosis for individual infants. This might be due to the unrecognized heterogeneity of cerebral injury within the preterm group. This study aimed to determine whether atypical brain microstructural development following preterm birth is significantly variable between infants. Using Gaussian process regression, a technique that allows a single-individual inference, we characterized typical variation of brain microstructure using maps of fractional anisotropy and mean diffusivity in a sample of 270 term-born neonates. Then, we compared 82 preterm infants to these normative values to identify brain regions with atypical microstructure and relate observed deviations to degree of prematurity and neurocognition at 18 months. Preterm infants showed strikingly heterogeneous deviations from typical development, with little spatial overlap between infants. Greater and more extensive deviations, captured by a whole brain atypicality index, were associated with more extreme prematurity and predicted poorer cognitive and language abilities at 18 months. Brain microstructural development after preterm birth is highly variable between individual infants. This poorly understood heterogeneity likely relates to both the etiology and prognosis of brain injury.

Indexed as

BrainFemaleHumansInfant, NewbornInfant, PrematureMaleNeurodevelopmental DisordersPregnancyPremature Birthbiological heterogeneityearly brain developmentneonatal MRIneurodevelopmentprematurity

Identifiers

PMID32306044
PMCPMC7391275
OpenAlexW3011855205

What OpenQuestion holds

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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.