Evidence map›Paper›PMID 40777381›Full record

ArticlebioRxiv : the preprint server for biology2025

Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain.

Damion V Demeter, Matthew Feigelis, Carolina Badke D'Andrea, Sana A Ali, Abigail R Baim, Emily Koithan, Jared Stearns, Salma Zreik, Jonathan Ahern, Sujin Park and 9 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Damion V DemeterDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-1931-3587
Matthew FeigelisDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
Carolina Badke D'AndreaMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Sana A AliDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
Abigail R BaimDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
Emily KoithanDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
Jared StearnsDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
Salma ZreikDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
Jonathan AhernDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
Sujin ParkDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
Sarah E ChangDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
Ryland L MillerMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Jacqueline M HamptonMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Bradley L SchlaggarKennedy Krieger Institute, Baltimore, MD, USA.
Scott MarekMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-0032-9052
Evan M GordonMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Nico Uf DosenbachMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Caterina GrattonDepartment of Psychology, University of Illinois Urbana-Champaign, Champaign, IL, USA.
Deanna J GreeneDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.

Funding

Sources and Functional Consequences of Individual Differences in Human Functional Brain Networks Related to Controlled BehaviorR01MH118370 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GRATTON, CATERINA · 2019 to 2023
$3.4M
Longitudinal Study of Brain Imaging and Cognitive Markers of Tourette Syndrome in ChildrenR01MH118217 · NIMH · WASHINGTON UNIVERSITY · PI GREENE, DEANNA JACQUELYN · 2019 to 2025
$3.2M
NIMH NIH HHS R01 MH118217NIMH NIH HHS R01 MH118370
6 · The paper itself

Abstract

Human brain organization shares a common underlying structure, though recent studies have shown that features of this organization also differ significantly across individual adults. Understanding the developmental pathways that lead to individually unique brains is important for advancing models of cognitive development and neurodevelopmental disorders. Here we use highly personalized precision neuroimaging methods to map brain networks within 12 individual children, ages 8-12 years. We demonstrate fMRI functional connectivity maps that substantially exceed the reliability of traditional techniques, allowing us to measure individual differences after overcoming biases from measurement noise. Children share core functional network topography, with greatest inter-individual variability in association regions, consistent with adult findings. However, children show less between-subject variability than adults, suggesting increasing individual differentiation in brain networks with development. This pediatric precision neuroimaging dataset is publicly available to support future brain development research and provides a high-fidelity foundation for studying individual variation in atypical development.

Indexed as

brain networksDevelopmentfMRIfunctional connectivityindividual differencesresting state

Identifiers

PMID40777381
PMCPMC12330735

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.