Evidence map›Paper›PMID 33947919›Full record

ArticleScientific reports2021

The development of structural covariance networks during the transition from childhood to adolescence.

Nandita Vijayakumar, Gareth Ball, Marc L Seal, Lisa Mundy, Sarah Whittle, Tim Silk

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Article
  5. Article
  6. Synergistic pathways to psychosis: understanding developmental risk and resilience factors.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
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  15. Neurocircuitry of Personality Traits and Intent in Decision-Making.Behavioral sciences (Basel, Switzerland) · 2023
    Review
  16. Article
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  19. Article
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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.

Nandita VijayakumarSchool of Psychology, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia. nvijaya@deakin.edu.au.
Gareth BallDevelopmental Imaging, Murdoch Children's Research Institute, Parkville, 3052, Australia.
Marc L SealDevelopmental Imaging, Murdoch Children's Research Institute, Parkville, 3052, Australia.
Lisa MundyDepartment of Paediatrics, The University of Melbourne, Melbourne, 3053, Australia.
Sarah WhittleMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, 3053, Australia.
Tim SilkSchool of Psychology, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural covariance conceptualizes how morphologic properties of brain regions are related to one another (across individuals). It can provide unique information to cortical structure (e.g., thickness) about the development of functionally meaningful networks. The current study investigated how structural covariance networks develop during the transition from childhood to adolescence, a period characterized by marked structural re-organization. Participants (N = 192; scans = 366) completed MRI assessments between 8.5 and 14.5 years of age. A sliding window approach was used to create "age-bins", and structural covariance networks (based on cortical thickness) were created for each bin. Next, generalized additive models were used to characterize trajectories of age-related changes in network properties. Results revealed nonlinear trajectories with "peaks" in mean correlation and global density that are suggestive of a period of convergence in anatomical properties across the cortex during early adolescence, prior to regional specialization. "Hub" regions in sensorimotor cortices were present by late childhood, but the extent and strength of association cortices as "hubs" increased into mid-adolescence. Moreover, these regional changes were found to be related to rates of thinning across the cortex. In the context of neurocognitive networks, the frontoparietal, default mode, and attention systems exhibited age-related increases in within-network and between-network covariance. These regional and modular developmental patterns are consistent with continued refinement of socioemotional and other complex executive functions that are supported by higher-order cognitive networks during early adolescence.

Indexed as

AdolescentCerebral CortexChildCognitionExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleNerve Net

Identifiers

PMID33947919
PMCPMC8097025

What Socratic holds

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LicenceCC BY
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 Socratic graph.