Evidence map›Paper›PMID 37012252›Full record

ArticleTranslational psychiatry2023

Parsing brain-behavior heterogeneity in very preterm born children using integrated similarity networks.

Laila Hadaya, Konstantina Dimitrakopoulou, Lucy D Vanes, Dana Kanel, Sunniva Fenn-Moltu, Oliver Gale-Grant, Serena J Counsell, A David Edwards, Mansoor Saqi, Dafnis Batalle and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Associations between neonatal brain structure and neurodevelopmental outcomes following very preterm birth.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
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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

11 authors at 2 institutions in 1 country.

Laila HadayaCentre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.ORCID 0000-0002-6484-1090
Konstantina DimitrakopoulouTranslational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London, UK.
Lucy D VanesCentre for Neuroimaging Sciences, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-6486-1462
Dana KanelCentre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.
Sunniva Fenn-MoltuCentre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.
Oliver Gale-GrantCentre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.
Serena J CounsellCentre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.
A David EdwardsCentre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.ORCID 0000-0003-4801-7066
Mansoor SaqiTranslational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London, UK.
Dafnis BatalleCentre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.ORCID 0000-0003-2097-979X
Chiara NosartiCentre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK. chiara.nosarti@kcl.ac.uk.ORCID 0000-0001-6305-9710
King's College London · GBWellcome Centre for Human Neuroimaging · GB

Funding

Department of Health RP-PG-0707-10154Medical Research Council MR/K006355/1Medical Research Council MR/N013700/1Medical Research Council MR/P502108/1Medical Research Council MR/S026460/1
6 · The paper itself

Abstract

Very preterm birth (VPT; ≤32 weeks' gestation) is associated with altered brain development and cognitive and behavioral difficulties across the lifespan. However, heterogeneity in outcomes among individuals born VPT makes it challenging to identify those most vulnerable to neurodevelopmental sequelae. Here, we aimed to stratify VPT children into distinct behavioral subgroups and explore between-subgroup differences in neonatal brain structure and function. 198 VPT children (98 females) previously enrolled in the Evaluation of Preterm Imaging Study (EudraCT 2009-011602-42) underwent Magnetic Resonance Imaging at term-equivalent age and neuropsychological assessments at 4-7 years. Using an integrative clustering approach, we combined neonatal socio-demographic, clinical factors and childhood socio-emotional and executive function outcomes, to identify distinct subgroups of children based on their similarity profiles in a multidimensional space. We characterized resultant subgroups using domain-specific outcomes (temperament, psychopathology, IQ and cognitively stimulating home environment) and explored between-subgroup differences in neonatal brain volumes (voxel-wise Tensor-Based-Morphometry), functional connectivity (voxel-wise degree centrality) and structural connectivity (Tract-Based-Spatial-Statistics). Results showed two- and three-cluster data-driven solutions. The two-cluster solution comprised a 'resilient' subgroup (lower psychopathology and higher IQ, executive function and socio-emotional scores) and an 'at-risk' subgroup (poorer behavioral and cognitive outcomes). No neuroimaging differences between the resilient and at-risk subgroups were found. The three-cluster solution showed an additional third 'intermediate' subgroup, displaying behavioral and cognitive outcomes intermediate between the resilient and at-risk subgroups. The resilient subgroup had the most cognitively stimulating home environment and the at-risk subgroup showed the highest neonatal clinical risk, while the intermediate subgroup showed the lowest clinical, but the highest socio-demographic risk. Compared to the intermediate subgroup, the resilient subgroup displayed larger neonatal insular and orbitofrontal volumes and stronger orbitofrontal functional connectivity, while the at-risk group showed widespread white matter microstructural alterations. These findings suggest that risk stratification following VPT birth is feasible and could be used translationally to guide personalized interventions aimed at promoting children's resilience.

Indexed as

Infant, Extremely PrematurePremature BirthBrainChildFemaleGestational AgeHumansInfant, NewbornMagnetic Resonance Imaging

Identifiers

PMID37012252
PMCPMC10070645
OpenAlexW4362522111

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.