In one paragraphArticle 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors 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 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 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 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.
Iliana I KaripidisDepartment of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, Zurich, Switzerland.ORCID 0000-0002-4885-0309 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 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 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 Tien T TongThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-1940-3198 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
$80.4MABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7MABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5MAging 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
$39.4MAdolescent 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
$34.5MABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7MProspective 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
$29.2MABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7MABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9MFIU-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
$22.8MABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3MABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7MNEI 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 itselfAbstract
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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