ArticleJournal of medical imaging (Bellingham, Wash.)2026
Charting confidence in white matter brain charts: enabling study planning through stability validation.
Abstract read
In one paragraph
Article in Journal of medical imaging (Bellingham, Wash.), 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
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
40 authors.
Michael E KimVanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.ORCID https://orcid.org/0009-0006-3562-2688
Gaurav RudravaramVanderbilt University, Department of Electrical and Computer Engineering, Nashville, Tennessee, United States.
Adam M SaundersVanderbilt University, Department of Electrical and Computer Engineering, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0003-2912-9759
Chenyu GaoVanderbilt University, Department of Electrical and Computer Engineering, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0003-2098-3035
Karthik RamadassVanderbilt University, Department of Electrical and Computer Engineering, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0002-4610-3860
Nancy R NewlinDigital Informatics & Technology Solutions, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID https://orcid.org/0000-0003-3714-4684
Praitayini KanakarajBioscope.ai, Boston, Massachusetts, United States.
Sam BogdanovVanderbilt University, Medical Scientist Training Program, Nashville, Tennessee, United States.
Angela L JeffersonVanderbilt University Medical Center, Department of Neurology, Nashville, Tennessee, United States.
Victoria L MorganVanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0001-8263-2324
Alexandra RocheVanderbilt University Institute of Imaging Science, Nashville, Tennessee, United States.
Dario J EnglotVanderbilt University Medical Center, Department of Neurological Surgery, Nashville, Tennessee, United States.
Susan M ResnickNational Institute on Aging, National Institutes of Health, Laboratory of Behavioral Neuroscience, Baltimore, Maryland, United States.
Lori L Beason HeldNational Institute on Aging, National Institutes of Health, Laboratory of Behavioral Neuroscience, Baltimore, Maryland, United States.
Murat BilgelNational Institute on Aging, National Institutes of Health, Laboratory of Behavioral Neuroscience, Baltimore, Maryland, United States.
Laurie E CuttingPeabody College of Education and Human Development, Department of Special Education, Nashville, Tennessee, United States.
Laura A BarqueroPeabody College of Education and Human Development, Department of Special Education, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0002-4279-3745
Micah A D'ArchangelPeabody College of Education and Human Development, Department of Special Education, Nashville, Tennessee, United States.
Tin Q NguyenPeabody College of Education and Human Development, Department of Special Education, Nashville, Tennessee, United States.
Kathryn L HumphreysVanderbilt University, Department of Psychology and Human Development, Nashville, Tennessee, United States.
Yanbin NiuVanderbilt University, Department of Psychology and Human Development, Nashville, Tennessee, United States.
Sophia Vinci-BooherVanderbilt University, Department of Psychology and Human Development, Nashville, Tennessee, United States.
Carissa J CascioUniversity of Kansas, Life Span Institute and Department of Psychology, Lawrence, Kansas, United States.
Kimberly R PechmanVanderbilt University Medical Center, Vanderbilt Memory and Alzheimer's Center, Nashville, Tennessee, United States.
Niranjana ShashikumarVanderbilt University Medical Center, Vanderbilt Memory and Alzheimer's Center, Nashville, Tennessee, United States.
The Habs-Hd Study TeamVanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0003-0582-5266
Alzheimer's Disease Neuroimaging InitiativeVanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.
The Biocard Study TeamVanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.
Zhiyuan LiPark University, Department of Computer Science, Parkville, Missouri, United States.ORCID https://orcid.org/0009-0005-6361-3191
Panpan ZhangVanderbilt University Medical Center, Department of Biostatistics, Nashville, Tennessee, United States.
John C GoreVanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, Tennessee, United States.
Yihao LiuVanderbilt University, Department of Electrical and Computer Engineering, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0003-3187-9903
Lianrui ZuoVanderbilt University, Department of Electrical and Computer Engineering, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0002-5923-9097
Yuankai HuoVanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0002-2096-8065
Derek B ArcherVanderbilt University Medical Center, Vanderbilt Memory and Alzheimer's Center, Nashville, Tennessee, United States.
Timothy J HohmanVanderbilt University Medical Center, Vanderbilt Memory and Alzheimer's Center, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0002-3377-7014
L Taylor DavisVanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, Tennessee, United States.
Kurt G SchillingVanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, Tennessee, United States.
Daniel C MoyerVanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.
Bennett A LandmanVanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0001-5733-2127
Funding
The Health & Aging Brain Study - Health Disparities (HABS-HD)U19AG078109 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI LEIGH A JOHNSON · 2022 to 2026
$181.1MVanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7MAlzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0MTechnology and Remote Assessment CoreU19AG063911 · NIA · MAYO CLINIC ROCHESTER · PI WILLIAM W SEELEY · 2019 to 2026
$120.9MWU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8MEarly Onset AD Consortium - the LEAD Study (LEADS)U01AG057195 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI APOSTOLOVA, LIANA G, CARRILLO, MARIA C · 2018 to 2023
$70.3MSmartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5MThe Clinical Significance of Incidental White Matter Lesions on MRI Amongst a Diverse Population with Cognitive Complaints (INDEED)U19NS120384 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Kumar B. Rajan · 2020 to 2026
$61.9MTHERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI GRABOWSKI, THOMAS J. · 1985 to 2019
$57.2MABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7MCellular and molecular mechanisms governing cortical surface area overgrowth in iPSC-derived neural cells from longitudinally characterized individuals with autismR01HD055741 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph Piven · 2007 to 2026
$52.6MABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5MNCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002243NCATS NIH HHS UL1 TR002345NCRR NIH HHS U24 RR021382NIA NIH HHS K01 AG073584NIA NIH HHS K24 AG046373NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P20 AG068024NIA NIH HHS P20 AG068053NIA NIH HHS P20 AG068077NIA NIH HHS P20 AG068082NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG013846NIA NIH HHS P30 AG013854NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG035982NIA NIH HHS P30 AG053760NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG062422NIA NIH HHS P30 AG062428NIA NIH HHS P30 AG062429NIA NIH HHS P30 AG062677NIA NIH HHS P30 AG062715NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066462NIA NIH HHS P30 AG066468NIA NIH HHS P30 AG066506NIA NIH HHS P30 AG066507NIA NIH HHS P30 AG066508NIA NIH HHS P30 AG066509NIA NIH HHS P30 AG066511NIA NIH HHS P30 AG066512NIA NIH HHS P30 AG066514NIA NIH HHS P30 AG066515NIA NIH HHS P30 AG066518NIA NIH HHS P30 AG066519NIA NIH HHS P30 AG066530NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072931NIA NIH HHS P30 AG072946NIA NIH HHS P30 AG072947NIA NIH HHS P30 AG072958NIA NIH HHS P30 AG072959NIA NIH HHS P30 AG072972NIA NIH HHS P30 AG072973NIA NIH HHS P30 AG072975NIA NIH HHS P30 AG072976NIA NIH HHS P30 AG072977NIA NIH HHS P30 AG072978NIA NIH HHS P30 AG072979NIA NIH HHS P30 AG072980NIA NIH HHS P50 AG005133NIA NIH HHS P50 AG005136NIA NIH HHS P50 AG005142NIA NIH HHS P50 AG008702NIA NIH HHS P50 AG016573NIA NIH HHS P50 AG016574NIA NIH HHS P50 AG033514NIA NIH HHS P50 AG047266NIA NIH HHS P50 AG047270NIA NIH HHS P50 AG047366NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG019771NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG021910NIA NIH HHS R01 AG022018NIA NIH HHS R01 AG034962NIA NIH HHS R01 AG037639NIA NIH HHS R01 AG043434NIA NIH HHS R01 AG045571NIA NIH HHS R01 AG052560NIA NIH HHS R01 AG053509NIA NIH HHS R01 AG053993NIA NIH HHS R01 AG054047NIA NIH HHS R01 AG054073NIA NIH HHS R01 AG054110NIA NIH HHS R01 AG055005NIA NIH HHS R01 AG056031NIA NIH HHS R01 AG056258NIA NIH HHS R01 AG056405NIA NIH HHS R01 AG056531NIA NIH HHS R01 AG056534NIA NIH HHS R01 AG058533NIA NIH HHS R01 AG058724NIA NIH HHS R01 AG059716NIA NIH HHS R01 AG061788NIA NIH HHS R01 AG062276NIA NIH HHS R01 AG062826NIA NIH HHS R01 AG064233NIA NIH HHS R01 AG067482NIA NIH HHS R01 AG067781NIA NIH HHS R01 AG068338NIA NIH HHS R01 AG069453NIA NIH HHS R01 AG070862NIA NIH HHS R01 AG073235NIA NIH HHS R01 AG077444NIA NIH HHS R01 AG079280NIA NIH HHS R35 AG072262NIA NIH HHS R56 AG037639NIA NIH HHS R56 AG045571NIA NIH HHS R56 AG074321NIA NIH HHS RF1 AG054047NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG057195NIA NIH HHS U01 AG068057NIA NIH HHS U19 AG063911NIA NIH HHS U19 AG073153NIA NIH HHS U19 AG078109NIA NIH HHS U24 AG067418NIA NIH HHS U24 AG072122NIA NIH HHS U24 AG074855NIBIB NIH HHS K01 EB032898NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB009352NIBIB NIH HHS R01 EB017230NICHD NIH HHS F31 HD104385NICHD NIH HHS P50 HD103537NICHD NIH HHS R01 HD044073NICHD NIH HHS R01 HD055741NICHD NIH HHS R01 HD067254NICHD NIH HHS R01 HD089474NICHD NIH HHS R01 HD109151NICHD NIH HHS R01 HD114489NICHD NIH HHS R37 HD095519NIDA NIH HHS RC2 DA029475NIDA 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 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 DA041123NIDA NIH HHS U24 DA041147NIDA NIH HHS U24 DA055325NIDA NIH HHS U24 DA055330NIDCD NIH HHS R01 DC008552NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM152284NIH HHS S10 OD020154NIH HHS S10 OD023680NIH HHS S10 OD026738NIMH NIH HHS K01 MH090232NIMH NIH HHS P50 MH071616NIMH NIH HHS R01 MH077851NIMH NIH HHS R01 MH077852NIMH NIH HHS R01 MH077862NIMH NIH HHS R01 MH077945NIMH NIH HHS R01 MH078113NIMH NIH HHS R01 MH094639NIMH NIH HHS R01 MH102272NIMH NIH HHS R01 MH103366NIMH NIH HHS R01 MH103368NIMH NIH HHS R01 MH129634NIMH NIH HHS R21 MH101321NIMH NIH HHS U01 MH070890NINDS NIH HHS P30 NS098577NINDS NIH HHS R01 NS049096NINDS NIH HHS R01 NS075075NINDS NIH HHS R01 NS108445NINDS NIH HHS R01 NS110130NINDS NIH HHS R01 NS112252NINDS NIH HHS R01 NS134625NINDS NIH HHS U19 NS120384NINDS NIH HHS UH2 NS100599NINDS NIH HHS UH3 NS100599RRD VA I01 RX001534RRD VA I21 RX001381
Abstract
Purpose: Normative modeling of quantitative brain measurements is being widely adopted as a promising method for charting population-level developmental trajectories and identifying abnormalities in groups and individuals. Generalized additive models for location, scale, and shape (GAMLSS) are a statistical framework that has been identified by the World Health Organization as a robust method for large-scale population modeling. Validating the stability of normative models is essential for appropriate benchmarking and detecting anomalies, especially for patients with neurodegenerative or developmental disorders. As these models continue to expand in the number of features and amount of data, it becomes increasingly important to assess the stability of the models and their predictions. Approach: An analytic approach is extended from previous work to assess variability of the GAMLSS framework for normative modeling of white matter measurements across the lifespan. The analytic variance and bias are compared with empirical bootstrapping estimates and those of an analogous model that is a nonparametric, data-driven analog. Results: Across all models, the analytic approach showed low model variability ( Conclusions: Results suggest that the GAMLSS brain charts are a stable method of defining and charting normative white matter development as well as planning future clinical or research studies. Overall, this study provides an assessment of GAMLSS-derived brain chart variance in a large-scale population.
Indexed as
diffusion mRImagnetic resonance imagingnormative modelingwhite matter
Identifiers
What Socratic holds
Textmetadata
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 Socratic graph.