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Long-term neural and physiological phenotyping of a single human

Author

Listed:
  • Russell A. Poldrack

    (University of Texas
    University of Texas
    Imaging Research Center, University of Texas
    Stanford University)

  • Timothy O. Laumann

    (Washington University School of Medicine)

  • Oluwasanmi Koyejo

    (Stanford University)

  • Brenda Gregory

    (Imaging Research Center, University of Texas)

  • Ashleigh Hover

    (Imaging Research Center, University of Texas)

  • Mei-Yen Chen

    (University of Texas)

  • Krzysztof J. Gorgolewski

    (Stanford University)

  • Jeffrey Luci

    (University of Texas
    Imaging Research Center, University of Texas)

  • Sung Jun Joo

    (University of Texas)

  • Ryan L. Boyd

    (University of Texas)

  • Scott Hunicke-Smith

    (Genome Sequencing and Analysis Facility, University of Texas)

  • Zack Booth Simpson

    (Center for Systems and Synthetic Biology, University of Texas)

  • Thomas Caven

    (University Medical Center Brackenridge)

  • Vanessa Sochat

    (Biomedical Informatics Program, Stanford University)

  • James M. Shine

    (Stanford University)

  • Evan Gordon

    (Washington University School of Medicine)

  • Abraham Z. Snyder

    (Washington University School of Medicine)

  • Babatunde Adeyemo

    (Washington University School of Medicine)

  • Steven E. Petersen

    (Washington University School of Medicine)

  • David C. Glahn

    (Olin Neuropsychiatry Research Center, Institute of Living
    Yale University School of Medicine)

  • D. Reese Mckay

    (Olin Neuropsychiatry Research Center, Institute of Living
    Yale University School of Medicine)

  • Joanne E. Curran

    (South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine)

  • Harald H. H. Göring

    (Texas Biomedical Research Institute)

  • Melanie A. Carless

    (Texas Biomedical Research Institute)

  • John Blangero

    (South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine)

  • Robert Dougherty

    (Center for Neurobiological Imaging, Stanford University)

  • Alexander Leemans

    (Image Sciences Institute, University Medical Center Utrecht)

  • Daniel A. Handwerker

    (National Institute of Mental Health (NIMH))

  • Laurie Frick

    (Imaging Research Center, University of Texas)

  • Edward M. Marcotte

    (Center for Systems and Synthetic Biology, University of Texas
    University of Texas)

  • Jeanette A. Mumford

    (University of Texas)

Abstract

Psychiatric disorders are characterized by major fluctuations in psychological function over the course of weeks and months, but the dynamic characteristics of brain function over this timescale in healthy individuals are unknown. Here, as a proof of concept to address this question, we present the MyConnectome project. An intensive phenome-wide assessment of a single human was performed over a period of 18 months, including functional and structural brain connectivity using magnetic resonance imaging, psychological function and physical health, gene expression and metabolomics. A reproducible analysis workflow is provided, along with open access to the data and an online browser for results. We demonstrate dynamic changes in brain connectivity over the timescales of days to months, and relations between brain connectivity, gene expression and metabolites. This resource can serve as a testbed to study the joint dynamics of human brain and metabolic function over time, an approach that is critical for the development of precision medicine strategies for brain disorders.

Suggested Citation

  • Russell A. Poldrack & Timothy O. Laumann & Oluwasanmi Koyejo & Brenda Gregory & Ashleigh Hover & Mei-Yen Chen & Krzysztof J. Gorgolewski & Jeffrey Luci & Sung Jun Joo & Ryan L. Boyd & Scott Hunicke-Sm, 2015. "Long-term neural and physiological phenotyping of a single human," Nature Communications, Nature, vol. 6(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9885
    DOI: 10.1038/ncomms9885
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    Cited by:

    1. Ang Li & Haiyang Liu & Xu Lei & Yini He & Qian Wu & Yan Yan & Xin Zhou & Xiaohan Tian & Yingjie Peng & Shangzheng Huang & Kaixin Li & Meng Wang & Yuqing Sun & Hao Yan & Cheng Zhang & Sheng He & Ruquan, 2023. "Hierarchical fluctuation shapes a dynamic flow linked to states of consciousness," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    2. Amy F. D. Howard & Istvan N. Huszar & Adele Smart & Michiel Cottaar & Greg Daubney & Taylor Hanayik & Alexandre A. Khrapitchev & Rogier B. Mars & Jeroen Mollink & Connor Scott & Nicola R. Sibson & Jer, 2023. "An open resource combining multi-contrast MRI and microscopy in the macaque brain," Nature Communications, Nature, vol. 14(1), pages 1-18, December.

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