In one paragraphArticle in Nature communications, 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
4 authors.
Sahar AhmadDepartment of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. sahar967@email.unc.edu.ORCID 0000-0001-7243-9977 Khoi Minh HuynhDepartment of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0001-9538-2408 Guoye LinDepartment of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Pew-Thian YapDepartment of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. ptyap@med.unc.edu.ORCID 0000-0003-1489-2102 Funding
ABCD-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
$51.5MMapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7MAdolescent 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
$19.7MAdolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5MNIBIB NIH HHS R01 EB008374NIBIB NIH HHS R01 EB035160NIDA 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 R01 MH125479NIMH NIH HHS R01 MH133836NIMH NIH HHS U01 MH109589NIMH NIH HHS U01 MH110274NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS134849U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB008374U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB035160U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH125479U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH133836U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS134849
6 · The paper itselfAbstract
Despite the central role of myelination in brain function and plasticity, its characterization remains fragmented, with existing studies typically constrained either spatially, by focusing on selected brain structures, or temporally, by covering only limited age ranges. Here, we provide a comprehensive brain-wide map of myelination across the lifespan, leveraging T1w/T2w ratios from 214 brain regions in individuals aged 0-100 years. This fine-grained spatiotemporal mapping reveals regional heterogeneity and timing differences in myelination and demyelination, uncovering fundamental organizational principles that govern myelin dynamics across the lifespan. Our analysis also reveals that changes in T1w/T2w ratio across all brain regions follow a triphasic pattern: rapid infancy growth (primary myelination phase), adolescence and adulthood reacceleration (secondary myelination phase), and late-life decline (demyelination). To complement our analysis, we examined regional brain volume and cortical thickness to determine how macroscale structural changes are related to microscale myelination across the lifespan. Our work provides a comprehensive population-level reference for characterizing normative myelination trajectories and for interpreting alterations associated with myelin-related neurological disorders.
Indexed as
BrainLongevityMyelin SheathAdolescentAdultAgedAged, 80 and overAgingBrain MappingChildChild, PreschoolFemaleHumansInfantInfant, NewbornMagnetic Resonance Imaging
Identifiers
PMID42893992
PMCPMC13677677
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