Evidence map›Paper›PMID 40424148›Full record

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

Longitudinal associations between birth-to-six cortical growth and childhood neurocognitive function.

Megan M Davis, Mackenzie Woodburn, Tehila Nugiel, Divyangana Rakesh, Maresa Tate, William Asciutto, Weili Lin, Jessica R Cohen, Margaret A Sheridan

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Megan M DavisDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514.
Mackenzie WoodburnDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514.
Tehila NugielDepartment of Psychology, Florida State University, Tallahassee, FL 32306.ORCID 0000-0001-5547-1852
Divyangana RakeshInstitute of Psychiatry, Psychology and Neuroscience, Kings College London, London SE5 8AF, United Kingdom.
Maresa TateDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514.
William AsciuttoDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514.
Weili LinBiomedical Research Imaging Center and Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.ORCID 0000-0002-2900-8204
Jessica R CohenDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514.ORCID 0000-0002-6016-6526
Margaret A SheridanDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514.ORCID 0000-0002-0745-4342

Funding

Continued Development of Infant Brain Analysis ToolsR01MH117943 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG, WANG, LI · 2018 to 2022
$2.3M
Parcellating Infant Cerebral Cortex based on Developmental Patterns of Multimodal MRIR01MH116225 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2018 to 2022
$1.9M
Volume-based Analysis of 6-month Infant Brain MRI for Autism Biomarker Identification and Early DiagnosisK01MH109773 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WANG, LI · 2017 to 2020
$571k
Using growth models to identify how trajectories of infant brain development predict childhood behavior and neural functionR21HD096232 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHERIDAN, MARGARET ANN · 2018 to 2019
$414k
Neural sensitivity to social feedback following adversity: Implications for adolescent mental healthF32MH132259 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIS, MEGAN M · 2023 to 2025
$156k
HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) 096232HHS | NIH | National Institute of Mental Health (NIMH) 109773HHS | NIH | National Institute of Mental Health (NIMH) 116225HHS | NIH | National Institute of Mental Health (NIMH) 117943HHS | NIH | National Institute of Mental Health (NIMH) 132259NICHD NIH HHS R21 HD096232NIMH NIH HHS F32 MH132259NIMH NIH HHS K01 MH109773NIMH NIH HHS R01 MH116225NIMH NIH HHS R01 MH117943
6 · The paper itself

Abstract

The human cortex undergoes immense change in the first years of life, doubling in thickness within the first year and evidencing the greatest change within the first 5 y. While substantial research has identified the early postnatal period as a sensitive period in cortical development, research to date lacks the temporal resolution necessary to identify which aspects of cortical change predict later neural and cognitive function. This study leveraged a rich longitudinal dataset of cortical thickness in 50 children who were scanned up to 11 times between birth and 6 y. We used nonlinear multilevel modeling to explore patterns of cortical change across the brain during this period and distinguish whether different phases of change would predict performance and brain activation during a working memory task children completed at approximately 9 y. Cortical thickness across the brain showed a large increase from birth through 12 mo, a decrease from 12 to 18 mo, and a small increase from 18 mo to 6 y, mirroring patterns of early neural proliferation, pruning, and sustained growth. Performance and neural activation during the working memory task were associated with smaller peak (i.e., 12 mo) thickness and a marginally less steep 12 to 18-mo decline in thickness in the middle frontal gyrus (MFG) of the frontal lobe, in line with evidence demonstrating concurrent links between frontal lobe structure and working memory. These findings validate theories of cortical growth developed in preclinical models using human data and demonstrate that prefrontal cortex development in infancy uniquely predicts neurocognitive function 9 y later.

Indexed as

Cerebral CortexChild DevelopmentCognitionChildChild, PreschoolFemaleHumansInfantInfant, NewbornLongitudinal StudiesMagnetic Resonance ImagingMaleMemory, Short-Termbrain developmentcortical thicknessMRIworking memory

Identifiers

PMID40424148
PMCPMC12146774

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.