Individual variability in behavior and functional networks predicts vulnerability using an animal model of PTSD

David Dopfel; Pablo D. Perez; Alexander Verbitsky; Hector Bravo-Rivera; Yuncong Ma; Gregory J. Quirk; Nanyin Zhang

doi:10.1038/s41467-019-09926-z

Nature Communications (May 2019)

Individual variability in behavior and functional networks predicts vulnerability using an animal model of PTSD

David Dopfel,
Pablo D. Perez,
Alexander Verbitsky,
Hector Bravo-Rivera,
Yuncong Ma,
Gregory J. Quirk,
Nanyin Zhang

Affiliations

David Dopfel: Department of Biomedical Engineering, Pennsylvania State University
Pablo D. Perez: Department of Biomedical Engineering, Pennsylvania State University
Alexander Verbitsky: Department of Engineering Science and Mechanics, Pennsylvania State University
Hector Bravo-Rivera: Department of Anatomy & Neurobiology, University of Puerto Rico School of Medicine
Yuncong Ma: Department of Biomedical Engineering, Pennsylvania State University
Gregory J. Quirk: Department of Anatomy & Neurobiology, University of Puerto Rico School of Medicine
Nanyin Zhang: Department of Biomedical Engineering, Pennsylvania State University

DOI: https://doi.org/10.1038/s41467-019-09926-z
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 12

Abstract

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How do individual differences affect vulnerability to developing post-traumatic stress disorder (PTSD)? Here, using longitudinal testing in a rat model of PTSD, the authors show patterns of pre-trauma brain connectivity and behaviors that predict PTSD-like responses to trauma exposure.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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