Ziv Ben-Zion - Connectome-Based Predictive Modeling of PTSD

Journal article

Ziv Ben-Zion, Alexander J Simon, M. Rosenblatt, Nachshon Korem, O. Duek, Israel Liberzon, Arieh Y. Shalev, Talma Hendler, Ifat Levy, I. Harpaz-Rotem, Dustin Scheinost
JAMA Network Open, 2025

Semantic Scholar DOI PubMedCentral PubMed

Cite

APA Click to copy
Ben-Zion, Z., Simon, A. J., Rosenblatt, M., Korem, N., Duek, O., Liberzon, I., … Scheinost, D. (2025). Connectome-Based Predictive Modeling of PTSD Development Among Recent Trauma Survivors. JAMA Network Open.

Chicago/Turabian Click to copy
Ben-Zion, Ziv, Alexander J Simon, M. Rosenblatt, Nachshon Korem, O. Duek, Israel Liberzon, Arieh Y. Shalev, et al. “Connectome-Based Predictive Modeling of PTSD Development Among Recent Trauma Survivors.” JAMA Network Open (2025).

MLA Click to copy
Ben-Zion, Ziv, et al. “Connectome-Based Predictive Modeling of PTSD Development Among Recent Trauma Survivors.” JAMA Network Open, 2025.

BibTeX Click to copy

@article{ziv2025a,
  title = {Connectome-Based Predictive Modeling of PTSD Development Among Recent Trauma Survivors},
  year = {2025},
  journal = {JAMA Network Open},
  author = {Ben-Zion, Ziv and Simon, Alexander J and Rosenblatt, M. and Korem, Nachshon and Duek, O. and Liberzon, Israel and Shalev, Arieh Y. and Hendler, Talma and Levy, Ifat and Harpaz-Rotem, I. and Scheinost, Dustin}
}

Abstract

Key Points Question Can early functional connectivity within and between large-scale neural networks predict the development of posttraumatic stress disorder (PTSD) in recent trauma survivors? Findings In this prognostic study of 162 adult trauma survivors, connectome-based predictive modeling applied to functional magnetic resonance imaging data at 1 month post trauma significantly predicted PTSD symptom severity at both 1 month and 14 months post trauma (but not at 6 months). Key predictive connections involved the anterior default mode, motor sensory, salience, central executive, and visual networks. Meaning These findings suggest that early identification of neural network differences may guide targeted interventions to mitigate PTSD risk following trauma exposure.