Evidence map›Paper›PMID 42330878›Full record

ArticleDevelopmental cognitive neuroscience2026

Cognitive ability in childhood predicts adolescent structural and functional brain development: A longitudinal study.

Phoebe Thomson, Philip Shaw, Divyangana Rakesh

Abstract read
In one paragraph

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

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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Phoebe ThomsonDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. Electronic address: phoebe.thomson@kcl.ac.uk.
Philip ShawKing's Maudsley Partnership for Children and Young People and Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Divyangana RakeshDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. Electronic address: divyangana.rakesh@kcl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

General cognitive ability in childhood has been linked to differences in brain structure and connectivity in numerous studies. However, longitudinal examinations of links between early cognitive ability and multimodal brain development are limited. Leveraging longitudinal data from 10,495 participants of the Adolescent Brain Cognitive Development study, we examined whether childhood cognitive ability was associated with differences in longitudinal development of gray and white matter structure and resting state functional connectivity (rsFC). Linear mixed-effects models tested associations between baseline cognition-matrix reasoning, fluid cognition, crystallized cognition-and trajectories of whole-brain and regional brain measures. Brain measures included cortical thickness, surface area, and volume, fractional anisotropy, mean diffusivity, and rsFC across four time points. Across modalities, higher baseline cognitive scores were associated with slower increases in measures that normatively increased over adolescence and faster decreases for those that were found to decline. Specifically, higher childhood fluid cognition was associated with faster contraction of gray matter area and volume, and higher matrix reasoning was related to slower increases in white matter fractional anisotropy. Meanwhile, lower values in all cognitive measures-early matrix reasoning, fluid cognition, and crystallized cognition-were associated with greater increases in between-network rsFC that were absent in those with higher baseline cognitive scores. Regionally, differences in gray matter structural trajectories by cognitive ability were most prominent in the frontal lobe, while effects for white matter and rsFC trajectories varied across distributed brain systems. Findings provide insight into theories of cognition and highlight possible neurobiological pathways linking early cognition to long-term outcomes.

Indexed as

BrainChild DevelopmentCognitionAdolescentChildFemaleGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleWhite MatterAdolescenceBrain structureFunctional connectivityIntelligence and cognitive functionLongitudinalWhite matter

Identifiers

PMID42330878
PMCPMC13315900

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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.