Evidence map›Paper›PMID 42089485›Full record

ArticleeLife2026

Canonical neurodevelopmental trajectories of structural and functional manifolds.

Alicja Monaghan, Richard A I Bethlehem, Danyal Akarca, Daniel S Margulies, CALM Team, Duncan E Astle

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Alicja MonaghanMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-1283-9845
Richard A I BethlehemDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-0714-0685
Danyal AkarcaMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-5931-0295
Daniel S MarguliesOxford Centre for Integrative Neuroimaging (OxCIN), FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-8880-9204
CALM TeamMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Duncan E AstleMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-7042-5392

Funding

Academy of Medical Sciences Springboard AwardEuropean Union's Horizon 2020 research and innovation programme No. 866533-CORTIGRADHealth Data Research UK Molecular to Health Records ProgramJames S. McDonnell Foundation Opportunity AwardNational Institute for Health and Care Research Cambridge Biomedical Research Centre NIHR203312National Institute of Health Oxford BRCSchmidt Sciences Imperial College Research FellowshipTWCF TCWF-2022-30510UK Medical Research Council MC-A0606-5PQ41Wellcome Trust Core Award
6 · The paper itself

Abstract

Organisational gradients refer to a continuous low-dimensional embedding of brain regions and can quantify core organisational principles of complex systems like the human brain. Mapping how these organisational principles are altered or refined across development and phenotypes is essential to understanding the relationship between brain and behaviour. Taking a developmental approach and leveraging longitudinal and cross-sectional data from two multi-modal neuroimaging datasets, spanning the full neurotypical-neurodivergent continuum, we charted the organisational variability of structural (610 participants, N=390 with one observation, N=163 with two observations and N=57 with three) and functional (512 participants, N=340 with one observation, N=128 with two observations and N=44 with three). Across datasets, despite differing phenotypes, we observe highly similar structural and functional gradients. These gradients, or organisational principles, are highly stable across development, with the exact same ordering across early childhood into mid-adolescence. However, there is substantial developmental change in the strength of embedding within those gradients: by modelling developmental trajectories as non-linear splines, we show that structural and functional gradients are refined across development. Specifically, structural gradients gradually contract in low-dimensional space as networks become more integrated, whilst the functional manifold expands, indexing functional specialisation. The coupling of these structural and functional gradients follows a unimodal-association axis and varies across individuals, with developmental effects concentrated in the more plastic higher-order networks. Importantly, these developmental effects on coupling, in these higher-order networks, are attenuated in the neurodivergent sample. Finally, we mapped structure-function coupling onto dimensions of psychopathology and cognition and demonstrate that dimensions of cognition, such as working memory, are robust predictors of coupling. In summary, across clinical and community samples, we demonstrate consistent principles of structural and functional brain organisation, with progressive structural integration and functional segregation. These gradients are established early in life, refined through development, and their coupling is predicted by working memory.

Indexed as

BrainBrain MappingNeurodevelopmentAdolescentAdolescent DevelopmentChildChild DevelopmentCognitionCross-Sectional StudiesDatasets as TopicDiffusion Tensor ImagingHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMemory, Short-Termbrain connectivityCognitionDevelopmentDiffusion-map embeddinghumanneuroscience

Identifiers

PMID42089485
PMCPMC13148822

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Registered trials

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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.