Evidence map›Paper›PMID 42131063›Full record

ArticleFrontiers in neuroimaging2026

Benchmarking functional brain network organization in childhood and its similarity to adults.

Sana A Ali, Damion V Demeter, Abigail R Baim, Emily M Koithan, Matthew Feigelis, Salma Zreik, Jonathan Ahern, Sarah E Chang, Sujin Park, Evan M Gordon and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroimaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Sana A AliDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Damion V DemeterDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Abigail R BaimDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Emily M KoithanDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Matthew FeigelisDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Salma ZreikDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Jonathan AhernDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Sarah E ChangDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Sujin ParkDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Evan M GordonMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Scott MarekMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Deanna J GreeneDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how large-scale functional networks mature across development is essential for linking brain organization to cognition and behavior. Thus, the population-level organization of functional networks in children and how it compares to adult network architecture deserves further study. Using resting-state fMRI data from 7,316 children aged 9-10 years in the Adolescent Brain Cognitive Development (ABCD) Study, we mapped functional networks in matched discovery (

Indexed as

brain networksdevelopmentfMRIfunctional connectivityresting state

Identifiers

PMID42131063
PMCPMC13160813

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.