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. GlahnD. 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, Jeanette A. Mumford

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Article number8885
JournalNature communications
StatePublished - Dec 9 2015
Externally publishedYes

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry, Genetics and Molecular Biology
  • General Physics and Astronomy


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