Evidence map›Paper›PMID 42039622›Full record

ArticlebioRxiv : the preprint server for biology2026

Highly replicable multisite patterns of adolescent white matter maturation.

Steven L Meisler, Matthew Cieslak, Joëlle Bagautdinova, Timothy J Hendrickson, Tanya Pandhi, Andrew A Chen, Noah Hillman, Hamsanandini Radhakrishnan, Taylor Salo, Eric Feczko and 40 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

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

50 authors.

Steven L MeislerThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8888-1572
Matthew CieslakThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-1931-4734
Joëlle BagautdinovaThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7201-467X
Timothy J HendricksonMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID 0000-0001-6862-6526
Tanya PandhiMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID 0000-0003-2365-7016
Andrew A ChenDepartment of Public Health Sciences, Medical University of South Carolina, SC, USA.ORCID 0000-0002-5027-6422
Noah HillmanPenn Statistics in Imaging and Visualization Endeavor, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0009-0002-4345-315X
Hamsanandini RadhakrishnanDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-4448-986X
Taylor SaloThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-9813-3167
Eric FeczkoMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID 0000-0003-1337-5517
Kimberly B WeldonMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID 0000-0003-4349-9916
Rae McCollumMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID 0009-0002-3730-9995
Begim FayzullobekovaMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID 0009-0000-8014-4108
Lucille A MooreMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID 0000-0002-7665-2713
Lucinda SiskThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-4900-9770
Christos DavatzikosCenter for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-1025-8561
Hao HuangDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-9103-4382
Bárbara Avelar-PereiraAging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.ORCID 0000-0003-4719-8504
Sendy CaffarraDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.ORCID 0000-0003-3667-5061
Kelly ChangDepartment of Psychology, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5385-2782
Philip A CookDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-1985-8475
Elizabeth A FlookThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-0192-0496
Teresa GomezDepartment of Psychology, University of Washington, Seattle, WA, USA.
Mareike GrotheerDepartment of Psychology, Phillips-Universität Marburg, Marburg, Germany.ORCID 0000-0002-8653-1157
McKenzie P HagenDepartment of Psychology, University of Washington, Seattle, WA, USA.ORCID 0000-0002-7454-8189
Zeeshan M HuqueDepartment of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA.ORCID 0009-0009-1696-107X
Iliana I KaripidisDepartment of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, Zurich, Switzerland.ORCID 0000-0002-4885-0309
Arielle S KellerDepartment of Psychological Sciences, University of Connecticut, Storrs, CT, USA.ORCID 0000-0003-4708-1672
John KruperDepartment of Psychology, University of Washington, Seattle, WA, USA.ORCID 0000-0003-0081-391X
Audrey C LuoThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-6798-1876
Briana MacedoThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0009-0003-9738-8303
Kahini MehtaDepartment of Neuroscience, Columbia University, New York, NY, USA.ORCID 0000-0001-9466-100X
Jamie L MitchellDivision of Developmental-Behavioral Pediatrics, Stanford University, Stanford, CA, USA.ORCID 0009-0002-0854-1875
Adam R PinesDepartment of Psychiatry and Behavioral Sciences, Stanford School of Medicine, Stanford, CA, USA.
Laura PritschetThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-4701-1017
Amelie RaulandInstitute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Jülich, Germany.ORCID 0000-0002-8095-2073
Ethan RoyGraduate School of Education, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4956-2237
Brooke L SevchikThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0009-0005-2187-2275
Golia ShafieiThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-2036-5571
S Parker SingletonThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-7102-7820
Hannah L StoneDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA.ORCID 0009-0003-3002-6199
Kevin Y SunThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-3230-4319
Valerie J SydnorDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-8640-668X
Tien T TongThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-1940-3198
Maya YablonskiGraduate School of Education, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4432-5275
Jason D YeatmanGraduate School of Education, Stanford University, Stanford, CA, USA.ORCID 0000-0002-2686-1293
Ariel RokemDepartment of Psychology, University of Washington, Seattle, WA, USA.ORCID 0000-0003-0679-1985
Russell T ShinoharaPenn Statistics in Imaging and Visualization Endeavor, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-8627-8203
Damien A FairMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID 0000-0001-8602-393X
Theodore D SatterthwaiteThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7072-9399

Funding

Translational pharmacoepidemiology: neuroprotection and neurotoxicity of antihypertensives and strong anticholinergicsU19AG066567 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI Linda Kathleen McEvoy · 2021 to 2026
$80.4M
ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Aging eyes and aging brains in studying alzheimer's disease: Modern ophthalmic data collection in the adult changes in thought (ACT) studyR01AG060942 · NIA · WASHINGTON UNIVERSITY · PI Cecilia Sungmin Lee · 2019 to 2026
$39.4M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
NEI NIH HHS R01 EY033628NIA NIH HHS R01 AG060942NIA NIH HHS U19 AG066567NIBIB NIH HHS R01 EB027585NIBIB NIH HHS R01 EB031284NIDA NIH HHS R01 DA056499NIDA NIH HHS R25 DA061823NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIMH NIH HHS F30 MH138048NIMH NIH HHS F31 MH136685NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH123550NIMH NIH HHS R01 MH126699NIMH NIH HHS R37 MH125829NIMH NIH HHS RF1 MH121867NIMH NIH HHS RF1 MH121868NIMH NIH HHS T32 MH016804NIMH NIH HHS T32 MH018951NIMH NIH HHS T32 MH019112
6 · The paper itself

Abstract

The Adolescent Brain Cognitive Development (ABCD) Study is the largest U.S.-based neuroimaging initiative of adolescent brain maturation. Diffusion MRI (dMRI) provides unique insights into white matter organization, yet applying advanced processing pipelines and managing technical variability across scanning environments remains challenging at scale. To address these issues, we present ABCD-BIDS Community Collection (ABCC) release 3.1.0, including a curated resource of more than 24,000 fully processed ABCD dMRI datasets. ABCC provides fully processed images, nuanced image quality metrics, advanced microstructural measures, and person-specific bundle tractography. Evaluating these rich data revealed that measures of diffusion restriction and non-Gaussianity-in particular the intracellular volume fraction from NODDI and return-to-origin probability from MAP-MRI-were highly sensitive to neurodevelopment and robust to variation in image quality. Additionally, harmonization of microstructural features markedly improved the cross-vendor generalizability of developmental effects. Together, ABCC accelerates reproducible, rigorous research on adolescent white matter development.

Identifiers

PMID42039622
PMCPMC13105032

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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.