publication

Long-term neural and physiological phenotyping of a single human

Poldrack, Russell A., Laumann, Timothy O., Koyejo, Oluwasanmi, Gregory, Brenda, Hover, Ashleigh, Chen, Mei Yen, Gorgolewski, Krzysztof J., Luci, Jeffrey, Joo, Sung Jun, Boyd, Ryan L., Hunicke-Smith, Scott, Simpson, Zack Booth, Caven, Thomas, Sochat, Vanessa, Shine, James M., Gordon, Evan, Snyder, Abraham Z., Adeyemo, Babatunde, Petersen, Steven E., Glahn, David C., Mckay, D. Reese, Curran, Joanne E., Göring, Harald H H, Carless, Melanie A., Blangero, John, Dougherty, Robert, Leemans, Alexander, Handwerker, Daniel A., Frick, Laurie, Marcotte, Edward M., Mumford, Jeanette A.

DOI: http://dx.doi.org/10.1038/ncomms9885

Nature Communications [E] 6

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.