Evidence map›Paper›PMID 42830337›Full record

ArticleNature communications2026

Motifs of brain cortical folding from birth to adulthood.

Yourong Guo, Mohamed A Suliman, Logan Z J Williams, Renato Besenczi, Kaili Liang, Simon Dahan, Vanessa Kyriakopoulou, Grainne M McAlonan, Alexander Hammers, Jonathan O'Muircheartaigh and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yourong GuoResearch Department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. yourong.2.guo@kcl.ac.uk.ORCID 0000-0001-6449-9339
Mohamed A SulimanResearch Department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Logan Z J WilliamsResearch Department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Renato BesencziResearch Department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Kaili LiangResearch Department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Simon DahanResearch Department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Vanessa KyriakopoulouResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-9883-0314
Grainne M McAlonanDepartment of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-4466-2343
Alexander HammersKing's College London and Guy's and St. Thomas' PET Centre, King's College London, London, UK.ORCID 0000-0001-9530-4848
Jonathan O'MuircheartaighResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-8033-6959
Emma C RobinsonResearch Department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. emma.robinson@kcl.ac.uk.ORCID 0000-0002-7886-3426

Funding

China Scholarship Council (CSC) NARCUK | Medical Research Council (MRC) MR/N026063/1RCUK | Medical Research Council (MRC) MR/V036874/1RCUK | Medical Research Council (MRC) MR/V03832X/1RCUK | Medical Research Council (MRC) RCUK | Medical Research CouncilRCUK | Medical Research Council (MRC) UKRI534Royal Society 206675/Z/17/ZWellcome TrustWellcome Trust (Wellcome) 206675/Z/17/Z
6 · The paper itself

Abstract

Cortical folding of the brain is widely regarded as an interplay between genetic programming and biomechanical forces, closely linked to cytoarchitectonic regionalisation. Abnormal folding patterns are frequently observed in neurodevelopmental conditions and psychiatric disorders. However, significant inter-individual variability of secondary and tertiary folds obscures the detection of shape biomarkers and confounds the investigation of folding-functional relationships. Here, we investigate cortical folding heterogeneity at a fine scale, using Multimodal Surface Matching with Hierarchical Templates (MSM-HT), a hierarchical surface registration, to parse cortical folding patterns into a representative family of distinct anatomical templates. By applying this technique both to young adults from the Human Connectome Project (HCP) and neonates in the Developing HCP and Brain Imaging in Babies (BIBS) cohorts, we identify and characterise common lobe-wise folding patterns: observing consistency across both age groups, with neonatal samples showing less variation. Crucially, we highlight significant hemispheric asymmetry within the temporal lobe in adults, with a consistent trend in neonates. This study provides a critical step towards understanding brain asymmetry and complex relationships between folding and function, offering a robust framework to generalise the uncovered cortical folding motifs across datasets and developmental stages.

Indexed as

BrainCerebral CortexAdolescentAdultChildConnectomeFemaleHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleNeurodevelopmentYoung Adult

Identifiers

PMID42830337
PMCPMC13635187

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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.