Evidence map›Paper›PMID 40422981›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2025

The generalizability of cortical area parcellations across early childhood.

Jiaxin Cindy Tu, Michael J Myers, Wei Li, Jiaqi Li, Xintian Wang, Donna Dierker, Trevor K M Day, Abraham Snyder, Aidan Latham, Jeanette K Kenley and 18 more

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Jiaxin Cindy TuMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Michael J MyersMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Wei LiDepartment of Mathematics and Statistics, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130, United States.
Jiaqi LiDepartment of Mathematics and Statistics, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130, United States.
Xintian WangMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Donna DierkerMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Trevor K M DayMasonic Institute for the Developing Brain, University of Minnesota, 2025 E River Pkwy, Minneapolis, MN 55414, United States.
Abraham SnyderMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Aidan LathamDepartment of Neurology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
Jeanette K KenleyDepartment of Neurology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
Chloe M SobolewskiMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Yu WangDepartment of Mathematics and Statistics, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130, United States.
Alyssa K LabonteDepartment of Psychiatry, Washington University in St. Louis, 660 S. Euclid Ave., St. Louis, MO 63110-1010, United States.
Eric FeczkoMasonic Institute for the Developing Brain, University of Minnesota, 2025 E River Pkwy, Minneapolis, MN 55414, United States.
Omid KardanDepartment of Psychiatry, University of Michigan, 250 Plymouth Road, Ann Arbor 48109, United States.
Lucille A MooreMasonic Institute for the Developing Brain, University of Minnesota, 2025 E River Pkwy, Minneapolis, MN 55414, United States.
Chad M SylvesterMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Damien A FairMasonic Institute for the Developing Brain, University of Minnesota, 2025 E River Pkwy, Minneapolis, MN 55414, United States.
Jed T ElisonMasonic Institute for the Developing Brain, University of Minnesota, 2025 E River Pkwy, Minneapolis, MN 55414, United States.
Barbara B WarnerDepartment of Pediatrics, Washington University in St. Louis, 660 S Euclid Ave, St. Louis, MO 63110, United States.
Deanna M BarchMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Cynthia E RogersDepartment of Psychiatry, Washington University in St. Louis, 660 S. Euclid Ave., St. Louis, MO 63110-1010, United States.
Joan L LubyDepartment of Psychiatry, Washington University in St. Louis, 660 S. Euclid Ave., St. Louis, MO 63110-1010, United States.
Christopher D SmyserMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Evan M GordonMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Timothy O LaumannDepartment of Psychiatry, Washington University in St. Louis, 660 S. Euclid Ave., St. Louis, MO 63110-1010, United States.
Adam T EggebrechtMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.
Muriah D WheelockMallinckrodt Institute of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States.

Funding

Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
Georgetown University Brain and Language Training ProgramT32DC019481 · NIDCD · GEORGETOWN UNIVERSITY · PI Peter Ethan Turkeltaub · 2022 to 2026
$2.1M
Leveraging pediatric state-specific functional brain network dynamics to predict developmental outcomesR01HD115540 · NICHD · WASHINGTON UNIVERSITY · PI Muriah D Wheelock · 2024 to 2026
$1.9M
Innovative biostatistical approaches to network level analyses of connectome-behavior relationshipsR00EB029343 · NIBIB · WASHINGTON UNIVERSITY · PI WHEELOCK, MURIAH D · 2022 to 2024
$955k
Precision Functional Mapping in Treatment-Resistant DepressionR00MH129616 · NIMH · WASHINGTON UNIVERSITY · PI TIMOTHY OTTO LAUMANN · 2024 to 2026
$747k
NIA NIH HHS P30 AG066444NIBIB NIH HHS R00 EB029343NICHD NIH HHS R01 HD115540NIDCD NIH HHS T32 DC019481NIMH NIH HHS R00 MH129616
6 · The paper itself

Abstract

The cerebral cortex consists of distinct areas that develop through intrinsic embryonic patterning and postnatal experiences. Accurate parcellation of these areas in neuroimaging studies improves statistical power and cross-study comparability. Given significant brain changes in volume, microstructure, and connectivity during early life, we hypothesized that cortical areas in 1- to 3-year-olds would differ markedly from neonates and increasingly resemble adult patterns as development progresses. Here, we parcellated the cerebral cortex into putative areas using local functional connectivity (FC) gradients in 92 toddlers at 2 years old. We demonstrate high reproducibility of these cortical areas across 1- to 3-year-olds in two independent datasets. The area boundaries in 1- to 3-year-olds were more similar to those in adults than those in neonates. While the age-specific group area parcellation better fits the underlying FC in individuals during the first 3 years, adult area parcellations still have utility in developmental studies, especially in children older than 6 years. Additionally, we provide connectivity-based community assignments of the area parcels, showing fragmented anterior and posterior components based on the strongest connectivity, yet alignment with adult systems when weaker connectivity was included.

Indexed as

Brain MappingCerebral CortexChild DevelopmentChild, PreschoolFemaleHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleNeural PathwaysReproducibility of ResultsareadevelopmentFMRIfunctional connectivitylifespanparcellation

Identifiers

PMID40422981
PMCPMC13017238

What OpenQuestion holds

Textmetadata
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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.