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Updated: Feb 4, 2026

Author Spotlight: Automated Lifespan Monitoring &#8211; Discovering Aging Dynamics with the Lifespan Machine
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Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging

Michael P Harms1, Leah H Somerville2, Beau M Ances3

  • 1Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.

Neuroimage
|September 28, 2018
PubMed
Summary

The Human Connectome Projects in Development and Aging (HCP-D/A) provide extensive brain imaging data across the lifespan. This freely available resource enables research into healthy brain development and aging.

Keywords:
AgingConnectomicsDevelopmentDiffusionFunctional connectivityLifespanPerfusionResting-stateTask

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Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Gerontology

Background:

  • The Human Connectome Project (HCP) has expanded to include studies on development (HCP-D) and aging (HCP-A).
  • These projects aim to map the human brain across nearly the entire lifespan, from childhood to old age.

Purpose of the Study:

  • To provide a comprehensive overview of the common imaging protocol for HCP-D and HCP-A.
  • To detail the rationale behind protocol decisions and modifications compared to the HCP Young-Adult (HCP-YA) study.
  • To make a large, multi-modal, and consistently acquired dataset freely available for scientific research.

Main Methods:

  • Collecting structural, resting-state fMRI, task-fMRI, diffusion, and perfusion MRI data.
  • Enrolling over 1300 healthy participants aged 5-21 for HCP-D and over 1200 healthy participants aged 36-100+ for HCP-A.
  • Harmonizing imaging protocols with HCP-YA where feasible, while adapting for hardware, scan time, and population-specific challenges.

Main Results:

  • A detailed description of the common HCP-D/A imaging protocol is presented.
  • Rationales for protocol choices and deviations from HCP-YA are explained.
  • The study establishes a foundation for a large, rich, and freely accessible neuroimaging dataset.

Conclusions:

  • The HCP-D/A imaging protocol is designed for consistency across a wide age range.
  • The resulting dataset will be invaluable for studying normative brain development and aging.
  • This initiative significantly advances the scientific community's ability to investigate lifespan brain changes.