Evidence map›Paper›PMID 40198710›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Cortical scaling of the neonatal brain in typical and altered development.

Alexandra F Bonthrone, Daniel Cromb, Andrew Chew, Barat Gal-Er, Christopher Kelly, Shona Falconer, Tomoki Arichi, Kuberan Pushparajah, John Simpson, Mary A Rutherford and 5 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Born too young or too blue tips the scaling of a folded brain.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Alexandra F BonthroneCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0001-5487-5564
Daniel CrombCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.
Andrew ChewCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.
Barat Gal-ErCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0009-0007-9419-8853
Christopher KellyCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0002-1246-844X
Shona FalconerCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.
Tomoki ArichiCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0002-3550-1644
Kuberan PushparajahResearch Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.
John SimpsonDepartment of Fetal and Paediatric Cardiology, Evelina London Children's Hospital, London SE1 7EH, United Kingdom.
Mary A RutherfordCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.
Joseph V HajnalCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0002-2690-5495
Chiara NosartiCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0001-6305-9710
A David EdwardsCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0003-4801-7066
Jonathan O'MuircheartaighCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0002-8033-6959
Serena J CounsellCentre for the Developing Brain, Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0002-8033-5673

Funding

Action Medical Research (AMR) GN2630British Heart Foundation (BHF) FS/15/55/31649EC | FP7 | Ideas | FP7 Ideas: European Research Council (IDEE-CER) [FP7/20072013]/European Research Council grant agreement no. 319456.UKRI | Medical Research Council (MRC) MR/L011530/1UKRI | Medical Research Council (MRC) MR/V002465/1UKRI | Medical Research Council (MRC) MR/V036874/1UKRI | Medical Research Council (MRC) MR/Y009665/1UKRI | MRC | Medical Research Council Centre for Neurodevelopmental Disorders (CNDD) MR/N026063/1Wellcome TrustWellcome Trust and Royal Society 206675/Z/17/ZWellcome Trust/Engineering and Physical Research Council WT203148/Z/16/Z
6 · The paper itself

Abstract

Theoretically derived scaling laws capture the nonlinear relationships between rapidly expanding brain volume and cortical gyrification across mammalian species and in adult humans. However, the preservation of these laws has not been comprehensively assessed in typical or pathological brain development. Here, we assessed the scaling laws governing cortical thickness (CT), surface area (SA), and cortical folding in the neonatal brain. We also assessed multivariate morphological terms that capture brain size, shape, and folding processes. The sample consisted of 345 typically developing infants, 73 preterm infants, and 107 infants with congenital heart disease (CHD) who underwent brain MRI. Our results show that typically developing neonates and those with CHD follow the cortical folding scaling law obtained from mammalian brains, children, and adults which captures the relationship between exposed SA, total SA, and CT. Cortical folding scaling was not affected by gestational age at birth, postmenstrual age at scan, sex, or multiple birth in these populations. CHD was characterized by a unique reduction in the multivariate morphological term capturing size, suggesting that CHD affects cortical growth overall but not cortical folding processes. In contrast, preterm birth was characterized by altered cortical folding scaling and altered shape, suggesting that the developmentally programmed processes of cortical folding are disrupted in this population. The degree of altered shape was associated with cognitive abilities in early childhood in preterm infants.

Indexed as

BrainCerebral CortexAdultFemaleGestational AgeHeart Defects, CongenitalHumansInfantInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleallometric scalingcortical foldingMRIneonatal brain

Identifiers

PMID40198710
PMCPMC12012530

What Socratic 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 Socratic graph.