ArticleNeuroImage2018
Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects.
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Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 427 papers.
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427citing papers in PubMed
13.7field-weighted citation impact, top 1% of its field
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Who cites it
427 citing papers in PubMed, 592 citations in OpenAlex.
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- Automated Surface-Based Segmentation of Deep Gray Matter Regions Based on Diffusion Tensor Images Reveals Unique Age Trajectories Over the Healthy Lifespan.NMR in biomedicine · 2026Article
- The State of Motion: Demographic and Representational Consequences of Motion-Based Exclusion in FMRI.bioRxiv : the preprint server for biology · 2026Article
367 more citing papers are in PubMed but not listed here.
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Authors and funding
41 authors at 12 institutions in 3 countries.
Michael P HarmsDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: mharms@wustl.edu.
Leah H SomervilleDepartment of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA.
Beau M AncesDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Jesper AnderssonWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Deanna M BarchDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Matteo BastianiWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Susan Y BookheimerDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
Timothy B BrownDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Randy L BucknerDepartment of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Gregory C BurgessDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Timothy S CoalsonDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
Michael A ChappellWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Mirella DaprettoDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
Gwenaëlle DouaudWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Bruce FischlAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Matthew F GlasserDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA; St. Luke's Hospital, St. Louis, MO, USA.
Douglas N GreveAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Cynthia HodgeDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Keith W JamisonDepartment of Radiology, Weill Cornell Medical College, New York, NY, USA.
Saad JbabdiWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Sridhar KandalaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Xiufeng LiCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Ross W MairCenter for Brain Science, Harvard University, Cambridge, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Silvia MangiaCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Daniel MarcusDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Daniele MascaliCentro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Rome, Italy.
Steen MoellerCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Thomas E NicholsWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Department of Statistics, University of Warwick, Coventry, UK.
Emma C RobinsonDepartment of Biomedical Engineering, King's College London, London, UK.
David H SalatAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Stephen M SmithWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Stamatios N SotiropoulosWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK.
Melissa TerpstraCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Kathleen M ThomasInstitute of Child Development, University of Minnesota, Minneapolis, MN, USA.
M Dylan TisdallDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Kamil UgurbilCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Andre van der KouweAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Roger P WoodsDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA; Department of Neurology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
Lilla ZölleiAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
David C Van EssenDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
Essa YacoubCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Washington University in St. Louis · USUniversity of Minnesota · USAthinoula A. Martinos Center for Biomedical Imaging · USHarvard University · USResonance Research (United States) · USUniversity of Oxford · GBWellcome Centre for Integrative Neuroimaging · GBNeurobehavioral Systems · USCornell University · USEnrico Fermi Center for Study and Research · ITKing's College London · GBUniversity of Pennsylvania · US
Funding
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9MMapping the Human Connectome During Typical DevelopmentU01MH109589 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA, BOOKHEIMER, SUSAN Y · 2016 to 2019
$17.1MHigh-Speed Motion-Corrected Pediatric Neuroimaging with MRIR00HD074649 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI TISDALL, MATTHEW DYLAN · 2015 to 2017
$706kMedical Research Council MR/K006673/1Medical Research Council MR/L009013/1NIA NIH HHS U01 AG052564NICHD NIH HHS R00 HD074649NIMH NIH HHS U01 MH109589
Abstract
The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are two large-scale brain imaging studies that will extend the recently completed HCP Young-Adult (HCP-YA) project to nearly the full lifespan, collecting structural, resting-state fMRI, task-fMRI, diffusion, and perfusion MRI in participants from 5 to 100+ years of age. HCP-D is enrolling 1300+ healthy children, adolescents, and young adults (ages 5-21), and HCP-A is enrolling 1200+ healthy adults (ages 36-100+), with each study collecting longitudinal data in a subset of individuals at particular age ranges. The imaging protocols of the HCP-D and HCP-A studies are very similar, differing primarily in the selection of different task-fMRI paradigms. We strove to harmonize the imaging protocol to the greatest extent feasible with the completed HCP-YA (1200+ participants, aged 22-35), but some imaging-related changes were motivated or necessitated by hardware changes, the need to reduce the total amount of scanning per participant, and/or the additional challenges of working with young and elderly populations. Here, we provide an overview of the common HCP-D/A imaging protocol including data and rationales for protocol decisions and changes relative to HCP-YA. The result will be a large, rich, multi-modal, and freely available set of consistently acquired data for use by the scientific community to investigate and define normative developmental and aging related changes in the healthy human brain.
Indexed as
AgingBrainLongevityAdolescentAdultAgedAged, 80 and overChildChild, PreschoolConnectomeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultAgingConnectomicsDevelopmentDiffusionFunctional connectivityLifespanPerfusionResting-stateTask
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