Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects.

Harms MP., Somerville LH., Ances BM., Andersson J., Barch DM., Bastiani M., Bookheimer SY., Brown TB., Buckner RL., Burgess GC., Coalson TS., Chappell MA., Dapretto M., Douaud G., Fischl B., Glasser MF., Greve DN., Hodge C., Jamison KW., Jbabdi S., Kandala S., Li X., Mair RW., Mangia S., Marcus D., Mascali D., Moeller S., Nichols TE., Robinson EC., Salat DH., Smith SM., Sotiropoulos SN., Terpstra M., Thomas KM., Tisdall MD., Ugurbil K., van der Kouwe A., Woods RP., Zöllei L., Van Essen DC., Yacoub E.

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.

DOI

10.1016/j.neuroimage.2018.09.060

Type

Journal article

Journal

Neuroimage

Publication Date

12/2018

Volume

183

Pages

972 - 984

Keywords

Aging, Connectomics, Development, Diffusion, Functional connectivity, Lifespan, Perfusion, Resting-state, Task, Adolescent, Adult, Aged, Aged, 80 and over, Aging, Brain, Child, Child, Preschool, Connectome, Female, Humans, Longevity, Magnetic Resonance Imaging, Male, Middle Aged, Young Adult

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