Evidence map›Paper›PMID 34358656›Full record

ArticleNeuroImage2021

Inter-individual variability in structural brain development from late childhood to young adulthood.

Kathryn L Mills, Kimberly D Siegmund, Christian K Tamnes, Lia Ferschmann, Lara M Wierenga, Marieke G N Bos, Beatriz Luna, Chun Li, Megan M Herting

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
–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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  11. Structural Brain Correlates of Childhood Inhibited Temperament: An ENIGMA-Anxiety Mega-Analysis.Journal of the American Academy of Child and Adolescent Psychiatry · 2026
    Article
  12. Article
  13. Independent brain cortical signatures of risk for adolescent cannabis use and consequences of such use are moderated by sex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  14. Article
  15. Article
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  18. Spatiotemporal Patterns in Cortical Development: Age, Puberty, and Individual Variability from 9 to 13 Years of Age.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  19. Article
  20. Review

17 more citing papers are in PubMed but not listed here.

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.

Kathryn L MillsDepartment of Psychology, University of Oregon, USA; PROMENTA Research Center, Department of Psychology, University of Oslo, Norway. Electronic address: klmills@oregon.edu.
Kimberly D SiegmundDepartment of Population and Public Health Sciences, University of Southern California, USA.
Christian K TamnesPROMENTA Research Center, Department of Psychology, University of Oslo, Norway; NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.
Lia FerschmannPROMENTA Research Center, Department of Psychology, University of Oslo, Norway.
Lara M WierengaInstitute of Psychology, Leiden University, The Netherlands; Leiden Institute for Brain and Cognition, Leiden University, The Netherlands.
Marieke G N BosInstitute of Psychology, Leiden University, The Netherlands; Leiden Institute for Brain and Cognition, Leiden University, The Netherlands.
Beatriz LunaDepartment of Psychiatry, University of Pittsburgh, USA.
Chun LiDepartment of Population and Public Health Sciences, University of Southern California, USA.
Megan M HertingDepartment of Population and Public Health Sciences, University of Southern California, USA. Electronic address: herting@usc.edu.

Funding

The Influence of Fetal Testosterone on Emotional Processing, Amydala Neurocircuitry, and Risk for Affective Disorders in ChildhoodK01MH108761 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HERTING, MEGAN MARIE · 2016 to 2019
$726k
NIMH NIH HHS K01 MH108761
6 · The paper itself

Abstract

A fundamental task in neuroscience is to characterize the brain's developmental course. While replicable group-level models of structural brain development from childhood to adulthood have recently been identified, we have yet to quantify and understand individual differences in structural brain development. The present study examined inter-individual variability and sex differences in changes in brain structure, as assessed by anatomical MRI, across ages 8.0-26.0 years in 269 participants (149 females) with three time points of data (807 scans), drawn from three longitudinal datasets collected in the Netherlands, Norway, and USA. We further investigated the relationship between overall brain size and developmental changes, as well as how females and males differed in change variability across development. There was considerable inter-individual variability in the magnitude of changes observed for all examined brain measures. The majority of individuals demonstrated decreases in total gray matter volume, cortex volume, mean cortical thickness, and white matter surface area in mid-adolescence, with more variability present during the transition into adolescence and the transition into early adulthood. While most individuals demonstrated increases in white matter volume in early adolescence, this shifted to a majority demonstrating stability starting in mid-to-late adolescence. We observed sex differences in these patterns, and also an association between the size of an individual's brain structure and the overall rate of change for the structure. The present study provides new insight as to the amount of individual variance in changes in structural morphometrics from late childhood to early adulthood in order to obtain a more nuanced picture of brain development. The observed individual- and sex-differences in brain changes also highlight the importance of further studying individual variation in developmental patterns in healthy, at-risk, and clinical populations.

Indexed as

AdolescentAdultBiological Variation, PopulationBrainChildFemaleGray MatterHumansMagnetic Resonance ImagingMaleSex CharacteristicsWhite MatterYoung AdultAdolescenceCortexGray matterLongitudinalSubcorticalWhite matter

Identifiers

PMID34358656
PMCPMC8489572

What OpenQuestion holds

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LicenceCC BY
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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.