| Title: | Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects |
| Journal: | NeuroImage |
| Published: | 24 Sep 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/30261308/ |
| DOI: | https://doi.org/10.1016/j.neuroimage.2018.09.060 |
| URL: | https://kclpure.kcl.ac.uk/ws/files/101510263/Extending_the_human_connectome_HARRIS_Firstonline24September2018_GREEN_AAM_CC_BY_NC_ND_.pdf |
| Citations: | 349 (186 in last 2 years) as of 8 Aug 2024 |
Publication 8570
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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.</p>
16 Keywords
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Aging
- Brain
- Child
- Child, Preschool
- Connectome
- Female
- Humans
- Longevity
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Young Adult
41 Authors
- Michael P. Harms
- Leah H. Somerville
- Beau M. Ances
- Jesper Andersson
- Deanna M. Barch
- Matteo Bastiani
- Susan Y. Bookheimer
- Timothy B. Brown
- Randy L. Buckner
- Gregory C. Burgess
- Timothy S. Coalson
- Michael A. Chappell
- Mirella Dapretto
- Gwenaëlle Douaud
- Bruce Fischl
- Matthew F. Glasser
- Douglas N. Greve
- Cynthia Hodge
- Keith W. Jamison
- Saad Jbabdi
- Sridhar Kandala
- Xiufeng Li
- Ross W. Mair
- Silvia Mangia
- Daniel Marcus
- Daniele Mascali
- Steen Moeller
- Thomas E. Nichols
- Emma C. Robinson
- David H. Salat
- Stephen M. Smith
- Stamatios N. Sotiropoulos
- Melissa Terpstra
- Kathleen M. Thomas
- M. Dylan Tisdall
- Kamil Ugurbil
- Andre van der Kouwe
- Roger P. Woods
- Lilla Zöllei
- David C. Van Essen
- Essa Yacoub
1 Application
| Application ID | Title |
|---|---|
| 8107 | Analysis of Biobank Neuro Imaging Data |
Enabling scientific discoveries that improve human health