Long-term neural and physiological phenotyping of a single human

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-Smith, Zack Booth Simpson, Thomas Caven, Vanessa Sochat, James M. Shine, Evan Gordon, Abraham Z. Snyder, Babatunde Adeyemo, Steven E. Petersen, David C. Glahn, D. Reese Mckay, Joanne E. Curran, Harald H. H. Göring, Melanie A. Carless, John Blangero, Robert Dougherty, Alexander Leemans, Daniel A. Handwerker, Laurie Frick, Edward M. Marcotte and Jeanette A. Mumford
Additional contact information
Russell A. Poldrack: University of Texas
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
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
D. Reese Mckay: Olin Neuropsychiatry Research Center, Institute of Living
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
Jeanette A. Mumford: University of Texas

Nature Communications, 2015, vol. 6, issue 1, 1-15

Abstract: 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.

Date: 2015
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DOI: 10.1038/ncomms9885

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