Journal article
NeuroImage, 2021
Clinical Neuroscientist
School of Public Health, Faculty of Social Welfare and Health Sciences,
University of Haifa
199 Abba Khoushy Ave.,
Mount Carmel, Haifa,
Israel, 3103301
APA
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Sheynin, S., Wolf, L., Ben-Zion, Z., Sheynin, J., Reznik, S., Keynan, J., … Liberzon, I. (2021). Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors. NeuroImage.
Chicago/Turabian
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Sheynin, Shelly, L. Wolf, Ziv Ben-Zion, Jony Sheynin, Shira Reznik, J. Keynan, R. Admon, A. Shalev, T. Hendler, and I. Liberzon. “Deep Learning Model of FMRI Connectivity Predicts PTSD Symptom Trajectories in Recent Trauma Survivors.” NeuroImage (2021).
MLA
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Sheynin, Shelly, et al. “Deep Learning Model of FMRI Connectivity Predicts PTSD Symptom Trajectories in Recent Trauma Survivors.” NeuroImage, 2021.
BibTeX Click to copy
@article{shelly2021a,
title = {Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors},
year = {2021},
journal = {NeuroImage},
author = {Sheynin, Shelly and Wolf, L. and Ben-Zion, Ziv and Sheynin, Jony and Reznik, Shira and Keynan, J. and Admon, R. and Shalev, A. and Hendler, T. and Liberzon, I.}
}