Evidence map›Paper›PMID 31821869›Full record

ArticleNeuroImage2020

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.

Raymond Pomponio, Guray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Ilya M Nasrallah, Theodore D Satterthwaite, Yong Fan and 20 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 353 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
353citing papers in PubMed, 3 pooled it
20.4field-weighted citation impact, top 1% of its field
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

353 citing papers in PubMed, 3 syntheses or guidelines pooled it, 500 citations in OpenAlex.

  1. Pooled it
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  20. Deep learning-based MRI analysis reveals Lewy body co-pathology accelerates brain aging in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article

293 more citing papers are in PubMed but not listed here.

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

30 authors at 11 institutions in 4 countries.

Raymond PomponioCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA. Electronic address: Raymond.Pomponio@pennmedicine.upenn.edu.
Guray ErusCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA.
Mohamad HabesCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA; Department of Neurology, University of Pennsylvania, USA.
Jimit DoshiCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA.
Dhivya SrinivasanCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA.
Elizabeth MamourianCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA.
Vishnu BashyamCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA.
Ilya M NasrallahCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA; Department of Radiology, University of Pennsylvania, USA.
Theodore D SatterthwaiteDepartment of Psychiatry, University of Pennsylvania, USA.
Yong FanCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA.
Lenore J LaunerLaboratory of Epidemiology and Population Sciences, National Institute on Aging, USA.
Colin L MastersFlorey Institute of Neuroscience and Mental Health, University of Melbourne, Australia.
Paul MaruffFlorey Institute of Neuroscience and Mental Health, University of Melbourne, Australia.
Chuanjun ZhuoTianjin Mental Health Center, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China; Department of Psychiatry, Tianjin Medical University, Tianjin, China.
Henry VölzkeInstitute for Community Medicine, University of Greifswald, Germany.
Sterling C JohnsonWisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, USA.
Jurgen FrippCSIRO Health and Biosecurity, Australian e-Health Research Centre CSIRO, Australia.
Nikolaos KoutsoulerisDepartment of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich, Germany.
Daniel H WolfDepartment of Psychiatry, University of Pennsylvania, USA.
Raquel GurDepartment of Radiology, University of Pennsylvania, USA; Department of Psychiatry, University of Pennsylvania, USA.
Ruben GurDepartment of Radiology, University of Pennsylvania, USA; Department of Psychiatry, University of Pennsylvania, USA.
John MorrisDepartment of Neurology, Washington University in St. Louis, USA.
Marilyn S AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, USA.
Hans J GrabeDepartment of Psychiatry and Psychotherapy, Ernst-Moritz-Arndt University, Germany.
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, USA.
R Nick BryanDepartment of Diagnostic Medicine, University of Texas at Austin, USA.
David A WolkDepartment of Neurology, University of Pennsylvania, USA.
Russell T ShinoharaCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, USA.
Haochang ShouCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, USA.
Christos DavatzikosCenter for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, USA. Electronic address: Christos.Davatzikos@pennmedicine.upenn.edu.
University of Pennsylvania · USNational Institute on Aging · USAustralian e-Health Research Centre · AUFlorey Institute of Neuroscience and Mental Health · AUJohns Hopkins University · USLudwig-Maximilians-Universität München · DEThe University of Texas at Austin · USTianjin Anding Hospital · CNUniversität Greifswald · DEUniversity of Melbourne · AUWashington University in St. Louis · US

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2014 to 2026
$51.5M
Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI XIE, SHARON XIANGWEN · 1991 to 2020
$35.1M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI AMY J. KIND · 2019 to 2026
$34.5M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Neuroimaging Predictors of Cognitive Decline, Impairment, and ResilienceZIAAG000191 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$26.4M
Wisconsin Registry for Alzheimer's PreventionRF1AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, STERLING C · 2018 to 2018
$18.8M
Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
Preclinical AD ConsortiumRF1AG059869 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 2018 to 2018
$7.7M
Atrial fibrillation burden, vascular disease of the brain and cardiac MRI in MESAR01HL127659 · NHLBI · UNIVERSITY OF WASHINGTON · PI HECKBERT, SUSAN R · 2015 to 2018
$7.4M
Machine Learning and Large-scale Imaging analytics for dimensional representations of brain trajectories in aging and preclinical Alzheimer's Disease: The brain aging chart and the iSTAGING consortiumRF1AG054409 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2023
$6.3M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS R01 HL127659NIA NIH HHS P30 AG010124NIA NIH HHS P30 AG062715NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG055005NIA NIH HHS RF1 AG027161NIA NIH HHS RF1 AG054409NIA NIH HHS RF1 AG059869NIA NIH HHS U19 AG033655NIDA NIH HHS 75N95019C00022NIDA NIH HHS HHSN271201300284PNIH HHS S10 OD023495NIMH NIH HHS R01 MH112070NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113565NIMH NIH HHS R01 MH120482NINDS NIH HHS R01 NS060910
6 · The paper itself

Abstract

As medical imaging enters its information era and presents rapidly increasing needs for big data analytics, robust pooling and harmonization of imaging data across diverse cohorts with varying acquisition protocols have become critical. We describe a comprehensive effort that merges and harmonizes a large-scale dataset of 10,477 structural brain MRI scans from participants without a known neurological or psychiatric disorder from 18 different studies that represent geographic diversity. We use this dataset and multi-atlas-based image processing methods to obtain a hierarchical partition of the brain from larger anatomical regions to individual cortical and deep structures and derive age trends of brain structure through the lifespan (3-96 years old). Critically, we present and validate a methodology for harmonizing this pooled dataset in the presence of nonlinear age trends. We provide a web-based visualization interface to generate and present the resulting age trends, enabling future studies of brain structure to compare their data with this reference of brain development and aging, and to examine deviations from ranges, potentially related to disease.

Indexed as

Datasets as TopicMulticenter Studies as TopicAdolescentAdultAgedAged, 80 and overAtlases as TopicBrainChildChild, PreschoolFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedBrainFreeSurferMRIMUSEROISegmentation

Identifiers

PMID31821869
PMCPMC6980790
OpenAlexW2993515580

What OpenQuestion holds

Textmetadata
LicenceTDM
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.