@article{febb1253b6b14babbe4ee99122bf3ed3,
title = "Pushing the boundaries of psychiatric neuroimaging to ground diagnosis in biology",
abstract = "To accurately detect, track progression of, and develop novel treatments for mental illnesses, a diagnostic framework is needed that is grounded in biological features. Here, we present the case for utilizing personalized neuroimaging, computational modeling, standardized computing, and ecologically valid neuroimaging to anchor psychiatric nosology in biology.",
keywords = "Computational modeling, Diagnosis, Neuroimaging, Psychiatry",
author = "Manish Saggar and Uddin, {Lucina Q.}",
note = "Funding Information: Received September 20, 2019; accepted October 23, 2019; First published November 4, 2019. The authors declare no competing financial interests. This work was supported in part by the National Institute of Mental Health (NIMH) Career Development Award K99/R00 MH104605 and New Innovator Award DP2 MH119735 (to M.S.) and by the NIMH R01 Award MH107549 (to L.Q.U.). Acknowledgements: We thank the anonymous reviewers for their valuable feedback. Correspondence should be addressed to Manish Saggar at saggar@stanford.edu. https://doi.org/10.1523/ENEURO.0384-19.2019 Copyright {\textcopyright} 2019 Saggar and Uddin This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. Funding Information: This work was supported in part by the National Institute of Mental Health (NIMH) Career Development Award K99/R00 MH104605 and New Innovator Award DP2 MH119735 (to M.S.) and by the NIMH R01 Award MH107549 (to L.Q.U.). We thank the anonymous reviewers for their valuable feedback.",
year = "2019",
month = nov,
day = "1",
doi = "10.1523/ENEURO.0384-19.2019",
language = "English (US)",
volume = "6",
journal = "eNeuro",
issn = "2373-2822",
publisher = "Society for Neuroscience",
number = "6",
}