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Long-term neural and physiological phenotyping of a single human

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Long-term neural and physiological phenotyping of a single human. / Poldrack, Russell A.; Laumann, Timothy O.; Koyejo, Oluwasanmi et al.
In: Nature Communications, Vol. 6, 8885, 09.12.2015.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Poldrack, RA, Laumann, TO, Koyejo, O, Gregory, B, Hover, A, Chen, MY, Gorgolewski, KJ, Luci, J, Joo, SJ, Boyd, RL, Hunicke-Smith, S, Simpson, ZB, Caven, T, Sochat, V, Shine, JM, Gordon, E, Snyder, AZ, Adeyemo, B, Petersen, SE, Glahn, DC, Mckay, DR, Curran, JE, Göring, HHH, Carless, MA, Blangero, J, Dougherty, R, Leemans, A, Handwerker, DA, Frick, L, Marcotte, EM & Mumford, JA 2015, 'Long-term neural and physiological phenotyping of a single human', Nature Communications, vol. 6, 8885. https://doi.org/10.1038/ncomms9885

APA

Poldrack, R. A., Laumann, T. O., Koyejo, O., Gregory, B., Hover, A., Chen, M. Y., Gorgolewski, K. J., Luci, J., Joo, S. J., Boyd, R. L., Hunicke-Smith, S., Simpson, Z. B., Caven, T., Sochat, V., Shine, J. M., Gordon, E., Snyder, A. Z., Adeyemo, B., Petersen, S. E., ... Mumford, J. A. (2015). Long-term neural and physiological phenotyping of a single human. Nature Communications, 6, Article 8885. https://doi.org/10.1038/ncomms9885

Vancouver

Poldrack RA, Laumann TO, Koyejo O, Gregory B, Hover A, Chen MY et al. Long-term neural and physiological phenotyping of a single human. Nature Communications. 2015 Dec 9;6:8885. doi: 10.1038/ncomms9885

Author

Poldrack, Russell A. ; Laumann, Timothy O. ; Koyejo, Oluwasanmi et al. / Long-term neural and physiological phenotyping of a single human. In: Nature Communications. 2015 ; Vol. 6.

Bibtex

@article{2fcf3dcf1f8540708d0b27ddb6625682,
title = "Long-term neural and physiological phenotyping of a single human",
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.",
author = "Poldrack, {Russell A.} and Laumann, {Timothy O.} and Oluwasanmi Koyejo and Brenda Gregory and Ashleigh Hover and Chen, {Mei Yen} and Gorgolewski, {Krzysztof J.} and Jeffrey Luci and Joo, {Sung Jun} and Boyd, {Ryan L.} and Scott Hunicke-Smith and Simpson, {Zack Booth} and Thomas Caven and Vanessa Sochat and Shine, {James M.} and Evan Gordon and Snyder, {Abraham Z.} and Babatunde Adeyemo and Petersen, {Steven E.} and Glahn, {David C.} and Mckay, {D. Reese} and Curran, {Joanne E.} and G{\"o}ring, {Harald H.H.} and Carless, {Melanie A.} and John Blangero and Robert Dougherty and Alexander Leemans and Handwerker, {Daniel A.} and Laurie Frick and Marcotte, {Edward M.} and Mumford, {Jeanette A.}",
year = "2015",
month = dec,
day = "9",
doi = "10.1038/ncomms9885",
language = "English",
volume = "6",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",

}

RIS

TY - JOUR

T1 - Long-term neural and physiological phenotyping of a single human

AU - Poldrack, Russell A.

AU - Laumann, Timothy O.

AU - Koyejo, Oluwasanmi

AU - Gregory, Brenda

AU - Hover, Ashleigh

AU - Chen, Mei Yen

AU - Gorgolewski, Krzysztof J.

AU - Luci, Jeffrey

AU - Joo, Sung Jun

AU - Boyd, Ryan L.

AU - Hunicke-Smith, Scott

AU - Simpson, Zack Booth

AU - Caven, Thomas

AU - Sochat, Vanessa

AU - Shine, James M.

AU - Gordon, Evan

AU - Snyder, Abraham Z.

AU - Adeyemo, Babatunde

AU - Petersen, Steven E.

AU - Glahn, David C.

AU - Mckay, D. Reese

AU - Curran, Joanne E.

AU - Göring, Harald H.H.

AU - Carless, Melanie A.

AU - Blangero, John

AU - Dougherty, Robert

AU - Leemans, Alexander

AU - Handwerker, Daniel A.

AU - Frick, Laurie

AU - Marcotte, Edward M.

AU - Mumford, Jeanette A.

PY - 2015/12/9

Y1 - 2015/12/9

N2 - 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.

AB - 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.

U2 - 10.1038/ncomms9885

DO - 10.1038/ncomms9885

M3 - Journal article

C2 - 26648521

AN - SCOPUS:84949564383

VL - 6

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 8885

ER -