Evidence map›Paper›PMID 30631462›Full record

ArticleNPJ science of learning2018

Mechanisms of interactive specialization and emergence of functional brain circuits supporting cognitive development in children.

Christian Battista, Tanya M Evans, Tricia J Ngoon, Tianwen Chen, Lang Chen, John Kochalka, Vinod Menon

Open access · goldAbstract read
In one paragraph

Article in NPJ science of learning, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

24 citing papers in PubMed, 58 citations in OpenAlex.

  1. Initial organization and progressive expansion of the math-responsive brain network during the first school years.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. Changes in patterns of age-related network connectivity are associated with risk for schizophrenia.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. Defining brain-based OCD patient profiles using task-based fMRI and unsupervised machine learning.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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  14. Review
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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

7 authors at 1 institution in 1 country.

Christian Battista *1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA.
Tanya M Evans *1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA.
Tricia J Ngoon1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA.
Tianwen Chen1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA.
Lang Chen1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA.
John Kochalka1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA.
Vinod Menon1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA.
Stanford University · US

Funding

Interventions in Math Learning Disabilities: Cognitive and Neural CorrelatesR01HD059205 · NICHD · STANFORD UNIVERSITY · PI Vinod Menon · 2009 to 2026
$10.8M
Longitudinal Neurocognitive Studies of Mathematical Disabilities: trajectories and outcomesR37HD094623 · NICHD · STANFORD UNIVERSITY · PI Vinod Menon · 2018 to 2026
$6.8M
Longitudinal fMRI Studies of Mathematical DisabilitiesR01HD047520 · NICHD · STANFORD UNIVERSITY · PI MENON, VINOD · 2005 to 2014
$5.5M
Neurodevelopmental Basis of Persistent Mathematical Learning DisabilitiesF32HD080367 · NICHD · STANFORD UNIVERSITY · PI EVANS, TANYA MARIE · 2015 to 2017
$127k
NICHD NIH HHS F32 HD080367NICHD NIH HHS R01 HD047520NICHD NIH HHS R01 HD059205NICHD NIH HHS R37 HD094623
6 · The paper itself

Abstract

Cognitive development is thought to depend on the refinement and specialization of functional circuits over time, yet little is known about how this process unfolds over the course of childhood. Here we investigated growth trajectories of functional brain circuits and tested an interactive specialization model of neurocognitive development which posits that the refinement of task-related functional networks is driven by a shared history of co-activation between cortical regions. We tested this model in a longitudinal cohort of 30 children with behavioral and task-related functional brain imaging data at multiple time points spanning childhood and adolescence, focusing on the maturation of parietal circuits associated with numerical problem solving and learning. Hierarchical linear modeling revealed selective strengthening as well as weakening of functional brain circuits. Connectivity between parietal and prefrontal cortex decreased over time, while connectivity within posterior brain regions, including intra-hemispheric and inter-hemispheric parietal connectivity, as well as parietal connectivity with ventral temporal occipital cortex regions implicated in quantity manipulation and numerical symbol recognition, increased over time. Our study provides insights into the longitudinal maturation of functional circuits in the human brain and the mechanisms by which interactive specialization shapes children's cognitive development and learning.

Identifiers

PMID30631462
PMCPMC6220196
OpenAlexW2782198793

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.