Evidence map›Paper›PMID 39464007›Full record

ArticlebioRxiv : the preprint server for biology2024

Baby Open Brains: An Open-Source Repository of Infant Brain Segmentations.

Eric Feczko, Sally M Stoyell, Lucille A Moore, Dimitrios Alexopoulos, Maria Bagonis, Kenneth Barrett, Brad Bower, Addison Cavender, Taylor A Chamberlain, Greg Conan and 29 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

39 authors.

Eric FeczkoMasonic Institute for the Developing Brain, University of Minnesota.ORCID 0000-0003-1337-5517
Sally M StoyellMasonic Institute for the Developing Brain, University of Minnesota.ORCID 0009-0000-0397-8504
Lucille A MooreMasonic Institute for the Developing Brain, University of Minnesota.
Dimitrios AlexopoulosWashington University.
Maria BagonisPrimeNeuro.
Kenneth BarrettPrimeNeuro.
Brad BowerPrimeNeuro.
Addison CavenderInstitute of Child Development, University of Minnesota.
Taylor A ChamberlainUniversity of Chicago.ORCID 0000-0003-3610-0911
Greg ConanMasonic Institute for the Developing Brain, University of Minnesota.
Trevor Km DayMasonic Institute for the Developing Brain, University of Minnesota.
Dhruman GoradiaPrimeNeuro.
Alice GrahamOregon Health Science University.
Lucas Heisler-RomanPrimeNeuro.
Timothy J HendricksonMasonic Institute for the Developing Brain, University of Minnesota.
Audrey HoughtonMasonic Institute for the Developing Brain, University of Minnesota.
Omid KardanUniversity of Michigan.
Elizabeth A KiffmeyerDepartment of Neuroscience, University of Minnesota.
Erik G LeeMasonic Institute for the Developing Brain, University of Minnesota.
Jacob T LundquistMasonic Institute for the Developing Brain, University of Minnesota.
Carina LucenaPrimeNeuro.
Tabitha MartinInstitute of Child Development, University of Minnesota.
Anurima MummaneniUniversity of Chicago.
Mollie MyricksPrimeNeuro.
Pranav NarnurPrimeNeuro.
Anders J PerroneMasonic Institute for the Developing Brain, University of Minnesota.
Paul ReinersMasonic Institute for the Developing Brain, University of Minnesota.
Amanda R RueterMasonic Institute for the Developing Brain, University of Minnesota.
Hteemoo SawInstitute of Child Development, University of Minnesota.
Martin StynerUniversity of North Carolina.
Sooyeon SungMasonic Institute for the Developing Brain, University of Minnesota.
Barry TiklaskyMasonic Institute for the Developing Brain, University of Minnesota.
Jessica L WisnowskiDepartment of Radiology, University of Southern California.
Essa YacoubCenter for Magnetic Resonance Research, University of Minnesota.
Brett ZimmermannInstitute of Child Development, University of Minnesota.
Christopher D SmyserWashington University.
Monica D RosenbergUniversity of Chicago.ORCID 0000-0001-6179-4025
Damien A FairMasonic Institute for the Developing Brain, University of Minnesota.
Jed T ElisonMasonic Institute for the Developing Brain, University of Minnesota.

Funding

The Healthy Brain and Child Development National Consortium Administrative CoreU24DA055325 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHRISTINA CHAMBERS, CHARLES Alexander NELSON · 2021 to 2026
$40.8M
Healthy Brain and Child Development National Consortium Data Coordinating CenterU24DA055330 · NIDA · WASHINGTON UNIVERSITY · PI ANDERS M DALE, Damien A Fair · 2021 to 2026
$34.6M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASDR01MH096773 · NIMH · UNIVERSITY OF MINNESOTA · PI DOSENBACH, NICO, FAIR, DAMIEN A · 2012 to 2024
$9.4M
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
UNC/UMN Baby Connectome ProjectU01MH110274 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELISON, JED THOMAS, GILMORE, JOHN HORACE · 2016 to 2019
$4.5M
Infant Brain and Behavioral Signatures of Later Emerging Risk for PsychopathologyR01MH104324 · NIMH · UNIVERSITY OF MINNESOTA · PI ELISON, JED THOMAS · 2014 to 2018
$2.6M
NIDA NIH HHS U01 DA041148NIDA NIH HHS U24 DA055325NIDA NIH HHS U24 DA055330NIMH NIH HHS R01 MH096773NIMH NIH HHS R01 MH104324NIMH NIH HHS R37 MH125829NIMH NIH HHS U01 MH110274
6 · The paper itself

Abstract

Reproducibility of neuroimaging research on infant brain development remains limited due to highly variable protocols and processing approaches. Progress towards reproducible pipelines is limited by a lack of benchmarks such as gold standard brain segmentations. Addressing this core limitation, we constructed the Baby Open Brains (BOBs) Repository, an open source resource comprising manually curated and expert-reviewed infant brain segmentations. Markers and expert reviewers manually segmented anatomical MRI data from 71 infant imaging visits across 51 participants, using both T1w and T2w images per visit. Anatomical images showed dramatic differences in myelination and intensities across the 1 to 9 month age range, emphasizing the need for densely sampled gold standard manual segmentations in these ages. The BOBs repository is publicly available through the Masonic Institute for the Developing Brain (MIDB) Open Data Initiative, which links S3 storage, Datalad for version control, and BrainBox for visualization. This repository represents an open-source paradigm, where new additions and changes can be added, enabling a community-driven resource that will improve over time and extend into new ages and protocols. These manual segmentations and the ongoing repository provide a benchmark for evaluating and improving pipelines dependent upon segmentations in the youngest populations. As such, this repository provides a vitally needed foundation for early-life large-scale studies such as HBCD.

Identifiers

PMID39464007
PMCPMC11507744

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.