Evidence map›Paper›PMID 41958470›Full record

ArticleArXiv2026

HARMONIZATION MITIGATES DIFFUSION MRI SCANNER EFFECTS IN INFANCY: INSIGHTS FROM THE HEALTHY BRAIN AND CHILD DEVELOPMENT (HBCD) STUDY.

Elyssa M McMaster, Gaurav Rudravaram, Michael E Kim, Trent M Schwartz, Chloe Scholten, Jongyeon Yoon, Adam M Saunders, Andre T S Hucke, Karthik Ramadass, Emily M Harriott and 10 more

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2026. 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

20 authors.

Elyssa M McMasterVanderbilt University, Nashville, TN, USA.
Gaurav RudravaramVanderbilt University, Nashville, TN, USA.
Michael E KimVanderbilt University, Nashville, TN, USA.
Trent M SchwartzVanderbilt University, Nashville, TN, USA.
Chloe ScholtenUniversity of Calgary, Calgary, AB, Canada.
Jongyeon YoonVanderbilt University, Nashville, TN, USA.
Adam M SaundersVanderbilt University, Nashville, TN, USA.
Andre T S HuckeVanderbilt University, Nashville, TN, USA.
Karthik RamadassVanderbilt University, Nashville, TN, USA.
Emily M HarriottVanderbilt University, Nashville, TN, USA.
Steven L MeislerUniversity of Pennsylvania, Philadelphia, PA, USA.
Simon N VandekarVanderbilt University Medical Center, Nashville, TN, US.
Allen NewtonVanderbilt University, Nashville, TN, USA.
Seth A SmithVanderbilt University, Nashville, TN, USA.
Saikat SenguptaVanderbilt University Medical Center, Nashville, TN, US.
Kathryn L HumphreysVanderbilt University, Nashville, TN, USA.
Sarah OsmundsonVanderbilt University Medical Center, Nashville, TN, US.
Daniel MoyerVanderbilt University, Nashville, TN, USA.
Laurie E CuttingVanderbilt University, Nashville, TN, USA.
Bennett A LandmanVanderbilt University, Nashville, TN, USA.

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
MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
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
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
5/6 HBCD Prenatal Experiences and Longitudinal Development (PRELUDE) ConsortiumU01DA055344 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Weili Lin · 2021 to 2026
$13.9M
6/6 HBCD Prenatal Experiences and Longitudinal Development (PRELUDE) Consortium VanderbiltU01DA055347 · NIDA · VANDERBILT UNIVERSITY · PI Laurie E Cutting, Sarah Scheiderich Osmundson · 2021 to 2026
$12.7M
5/24 Healthy Brain and Child Development National ConsortiumU01DA055353 · NIDA · BOSTON CHILDREN'S HOSPITAL · PI Michelle A Bosquet Enlow, Patricia Ellen Grant · 2021 to 2026
$12.1M
4/6 HBCD Prenatal Experiences and Longitudinal Development (PRELUDE) ConsortiumU01DA055342 · NIDA · CINCINNATI CHILDRENS HOSP MED CTR · PI STEPHANIE L MERHAR, JENNIFER J. VANNEST · 2021 to 2026
$11.9M
1/6 HBCD Prenatal Experiences and Longitudinal Development (PRELUDE) ConsortiumU01DA055352 · NIDA · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI ASHLEY ACHESON, LORRAINE M MCKELVEY · 2021 to 2026
$11.9M
HEALthy Brain and Child Development Study at UAB and UAU01DA055322 · NIDA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Rajesh K Kana, Cassandra R. Newsom · 2021 to 2026
$11.2M
23/24 Healthy Brain and Child Development National ConsortiumU01DA055367 · NIDA · WASHINGTON UNIVERSITY · PI RYAN H BOGDAN, CYNTHIA Elise ROGERS · 2021 to 2026
$10.8M
7/24 Healthy Brain and Child Development National ConsortiumU01DA055350 · NIDA · JOHNS HOPKINS UNIVERSITY · PI JAMES J. PEKAR, ANDREW J. SATIN · 2021 to 2026
$10.7M
NIA NIH HHS R01 AG059716NIA NIH HHS U01 AG068057NIA NIH HHS U24 AG074855NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537NIDA NIH HHS U01 DA055316NIDA NIH HHS U01 DA055322NIDA NIH HHS U01 DA055338NIDA NIH HHS U01 DA055342NIDA NIH HHS U01 DA055344NIDA NIH HHS U01 DA055347NIDA NIH HHS U01 DA055349NIDA NIH HHS U01 DA055350NIDA NIH HHS U01 DA055352NIDA NIH HHS U01 DA055353NIDA NIH HHS U01 DA055354NIDA NIH HHS U01 DA055355NIDA NIH HHS U01 DA055357NIDA NIH HHS U01 DA055358NIDA NIH HHS U01 DA055359NIDA NIH HHS U01 DA055360NIDA NIH HHS U01 DA055361NIDA NIH HHS U01 DA055362NIDA NIH HHS U01 DA055363NIDA NIH HHS U01 DA055365NIDA NIH HHS U01 DA055366NIDA NIH HHS U01 DA055367NIDA NIH HHS U01 DA055369NIDA NIH HHS U01 DA055370NIDA NIH HHS U01 DA055371NIDA NIH HHS U24 DA055325NIDA NIH HHS U24 DA055330
6 · The paper itself

Abstract

The HEALthy Brain and Childhood Development (HBCD) Study is an ongoing longitudinal initiative to understand population-level brain maturation; however, large-scale studies must overcome site-related variance and preserve biologically relevant signal. In addition to diffusion-weighted magnetic resonance imaging images, the HBCD dataset offers analysis-ready derivatives for scientists to conduct their analysis, including scalar diffusion tensor (DTI) metrics in a predetermined set of bundles. The purpose of this study is to characterize HBCD-specific site effects in diffusion MRI data, which have not been systematically reported. In this work, we investigate the sensitivity of HBCD bundle metrics to scanner model-related variance and address these variations with ComBat-GAM harmonization within the current HBCD data release 1.1 across six scanner models. Following ComBat-GAM, we observe zero statistically significant differences between the distributions from any scanner model following FDR correction and reduce Cohen's

Indexed as

diffusion MRIHarmonizationpediatrics

Identifiers

PMID41958470
PMCPMC13060484

What OpenQuestion holds

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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.