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

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

doi:10.1016/j.neuroimage.2018.09.060

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

Neuroimage. 2018 Dec:183:972-984. doi: 10.1016/j.neuroimage.2018.09.060. Epub 2018 Sep 24.

Authors

Michael P Harms¹, Leah H Somerville², Beau M Ances³, Jesper Andersson⁴, Deanna M Barch⁵, Matteo Bastiani⁴, Susan Y Bookheimer⁶, Timothy B Brown⁷, Randy L Buckner⁸, Gregory C Burgess⁹, Timothy S Coalson¹⁰, Michael A Chappell¹¹, Mirella Dapretto⁶, Gwenaëlle Douaud⁴, Bruce Fischl¹², Matthew F Glasser¹³, Douglas N Greve¹⁴, Cynthia Hodge⁹, Keith W Jamison¹⁵, Saad Jbabdi⁴, Sridhar Kandala⁹, Xiufeng Li¹⁶, Ross W Mair¹⁷, Silvia Mangia¹⁶, Daniel Marcus⁷, Daniele Mascali¹⁸, Steen Moeller¹⁶, Thomas E Nichols¹⁹, Emma C Robinson²⁰, David H Salat¹⁴, Stephen M Smith⁴, Stamatios N Sotiropoulos²¹, Melissa Terpstra¹⁶, Kathleen M Thomas²², M Dylan Tisdall²³, Kamil Ugurbil¹⁶, Andre van der Kouwe²⁴, Roger P Woods²⁵, Lilla Zöllei¹⁴, David C Van Essen¹⁰, Essa Yacoub¹⁶

Affiliations

¹ Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: mharms@wustl.edu.
² Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA.
³ Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
⁴ Wellcome 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.
⁵ Department 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.
⁶ Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
⁷ Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
⁸ Department 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.
⁹ Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
¹⁰ Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
¹¹ Wellcome 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.
¹² Athinoula 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.
¹³ Department 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.
¹⁴ Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
¹⁵ Department of Radiology, Weill Cornell Medical College, New York, NY, USA.
¹⁶ Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
¹⁷ 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.
¹⁸ Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Rome, Italy.
¹⁹ Wellcome 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.
²⁰ Department of Biomedical Engineering, King's College London, London, UK.
²¹ Wellcome 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.
²² Institute of Child Development, University of Minnesota, Minneapolis, MN, USA.
²³ Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
²⁴ 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.
²⁵ Department 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.

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.

Keywords: Aging; Connectomics; Development; Diffusion; Functional connectivity; Lifespan; Perfusion; Resting-state; Task.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Adolescent
Adult
Aged
Aged, 80 and over
Aging*
Brain*
Child
Child, Preschool
Connectome / methods*
Female
Humans
Longevity*
Magnetic Resonance Imaging / methods
Male
Middle Aged
Young Adult

Abstract

Publication types

MeSH terms

Grants and funding