Evidence map›Paper›PMID 25619207›Full record

ArticlePhysical biology2015

Development of modularity in the neural activity of children's brains.

Man Chen, Michael W Deem

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Physical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04137913 (Project CHROMA), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 17% 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.

NCT04137913 nacompletednot on this mapstarted 2019, after this paper: background citation

Project CHROMA (Cognitive Health Research on Musical Arts)

TypeinterventionalSponsorWilliam Marsh Rice UniversityRan2019 to 2023Enrolled81ConditionsCognitive Impairment, CreativityArmsMusical arts intervention
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
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  4. The role of spatial processing in verbal serial order working memory.Cognitive, affective & behavioral neuroscience · 2025
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  10. Graph theoretical approach to brain remodeling in multiple sclerosis.Network neuroscience (Cambridge, Mass.) · 2023
    Article
  11. Music toIBRO neuroscience reports · 2022
    Article
  12. Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Resting-state EEG Connectivity in Young Children with ADHD.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
    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

2 authors at 1 institution in 1 country.

Man ChenDepartment of Physics & Astronomy, Rice University, Houston, TX 77005, USA.
Michael W Deem
Rice University · US

Funding

Predicting Patient Subpopulation Dynamics from Fluctuation TheoryR01GM100468 · NIGMS · RICE UNIVERSITY · PI DEEM, MICHAEL W · 2011 to 2014
$1.5M
NIGMS NIH HHS 1 R01GM100468-01NIGMS NIH HHS R01 GM100468
6 · The paper itself

Abstract

We study how modularity of the human brain changes as children develop into adults. Theory suggests that modularity can enhance the response function of a networked system subject to changing external stimuli. Thus, greater cognitive performance might be achieved for more modular neural activity, and modularity might likely increase as children develop. The value of modularity calculated from functional magnetic resonance imaging (fMRI) data is observed to increase during childhood development and peak in young adulthood. Head motion is deconvolved from the fMRI data, and it is shown that the dependence of modularity on age is independent of the magnitude of head motion. A model is presented to illustrate how modularity can provide greater cognitive performance at short times, i.e. task switching. A fitness function is extracted from the model. Quasispecies theory is used to predict how the average modularity evolves with age, illustrating the increase of modularity during development from children to adults that arises from selection for rapid cognitive function in young adults. Experiments exploring the effect of modularity on cognitive performance are suggested. Modularity may be a potential biomarker for injury, rehabilitation, or disease.

Indexed as

AdolescentAdultBrainChildChild, PreschoolFemaleHumansMagnetic Resonance ImagingMaleNerve NetYoung Adult

Identifiers

PMID25619207
PMCPMC4489707
OpenAlexW2038450390

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.