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The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds.

Publication ,  Journal Article
Somerville, LH; Bookheimer, SY; Buckner, RL; Burgess, GC; Curtiss, SW; Dapretto, M; Elam, JS; Gaffrey, MS; Harms, MP; Hodge, C; Kandala, S ...
Published in: NeuroImage
December 2018

Recent technological and analytical progress in brain imaging has enabled the examination of brain organization and connectivity at unprecedented levels of detail. The Human Connectome Project in Development (HCP-D) is exploiting these tools to chart developmental changes in brain connectivity. When complete, the HCP-D will comprise approximately ∼1750 open access datasets from 1300 + healthy human participants, ages 5-21 years, acquired at four sites across the USA. The participants are from diverse geographical, ethnic, and socioeconomic backgrounds. While most participants are tested once, others take part in a three-wave longitudinal component focused on the pubertal period (ages 9-17 years). Brain imaging sessions are acquired on a 3 T Siemens Prisma platform and include structural, functional (resting state and task-based), diffusion, and perfusion imaging, physiological monitoring, and a battery of cognitive tasks and self-reports. For minors, parents additionally complete a battery of instruments to characterize cognitive and emotional development, and environmental variables relevant to development. Participants provide biological samples of blood, saliva, and hair, enabling assays of pubertal hormones, health markers, and banked DNA samples. This paper outlines the overarching aims of the project, the approach taken to acquire maximally informative data while minimizing participant burden, preliminary analyses, and discussion of the intended uses and limitations of the dataset.

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Published In

NeuroImage

DOI

EISSN

1095-9572

ISSN

1053-8119

Publication Date

December 2018

Volume

183

Start / End Page

456 / 468

Related Subject Headings

  • Young Adult
  • Neuropsychological Tests
  • Neurology & Neurosurgery
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • Human Development
  • Female
  • Datasets as Topic
  • Connectome
 

Citation

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Chicago
ICMJE
MLA
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Somerville, L. H., Bookheimer, S. Y., Buckner, R. L., Burgess, G. C., Curtiss, S. W., Dapretto, M., … Barch, D. M. (2018). The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds. NeuroImage, 183, 456–468. https://doi.org/10.1016/j.neuroimage.2018.08.050
Somerville, Leah H., Susan Y. Bookheimer, Randy L. Buckner, Gregory C. Burgess, Sandra W. Curtiss, Mirella Dapretto, Jennifer Stine Elam, et al. “The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds.NeuroImage 183 (December 2018): 456–68. https://doi.org/10.1016/j.neuroimage.2018.08.050.
Somerville LH, Bookheimer SY, Buckner RL, Burgess GC, Curtiss SW, Dapretto M, et al. The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds. NeuroImage. 2018 Dec;183:456–68.
Somerville, Leah H., et al. “The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds.NeuroImage, vol. 183, Dec. 2018, pp. 456–68. Epmc, doi:10.1016/j.neuroimage.2018.08.050.
Somerville LH, Bookheimer SY, Buckner RL, Burgess GC, Curtiss SW, Dapretto M, Elam JS, Gaffrey MS, Harms MP, Hodge C, Kandala S, Kastman EK, Nichols TE, Schlaggar BL, Smith SM, Thomas KM, Yacoub E, Van Essen DC, Barch DM. The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds. NeuroImage. 2018 Dec;183:456–468.
Journal cover image

Published In

NeuroImage

DOI

EISSN

1095-9572

ISSN

1053-8119

Publication Date

December 2018

Volume

183

Start / End Page

456 / 468

Related Subject Headings

  • Young Adult
  • Neuropsychological Tests
  • Neurology & Neurosurgery
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • Human Development
  • Female
  • Datasets as Topic
  • Connectome