Journal article
Extending the human connectome project across ages: imaging protocols for the lifespan development and aging projects
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 7.1MB, Terms of use)
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- Publisher copy:
- 10.1016/j.neuroimage.2018.09.060
Authors
Contributors
Fischl, B
- Publisher:
- Elsevier
- Journal:
- NeuroImage More from this journal
- Volume:
- 183
- Pages:
- 972-984
- Publication date:
- 2018-09-24
- Acceptance date:
- 2018-09-20
- DOI:
- EISSN:
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1095-9572
- ISSN:
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1053-8119
- Pmid:
-
30261308
- Language:
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English
- Keywords:
- Pubs id:
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pubs:923321
- UUID:
-
uuid:284e55a6-7506-4535-a561-81fe55e4a6ba
- Local pid:
-
pubs:923321
- Source identifiers:
-
923321
- Deposit date:
-
2018-10-08
Terms of use
- Copyright holder:
- Elsevier Inc
- Copyright date:
- 2018
- Notes:
- © 2018 Elsevier Inc. All rights reserved. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: 10.1016/j.neuroimage.2018.09.060
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