Publications [#379392] of Rajendra A. Morey

Papers Published

1. Suarez-Jimenez, B; Lazarov, A; Zhu, X; Zilcha-Mano, S; Kim, Y; Marino, CE; Rjabtsenkov, P; Bavdekar, SY; Pine, DS; Bar-Haim, Y; Larson, CL; Huggins, AA; Terri deRoon-Cassini; Tomas, C; Fitzgerald, J; Kennis, M; Varkevisser, T; Geuze, E; Quidé, Y; El Hage, W; Wang, X; O'Leary, EN; Cotton, AS; Xie, H; Shih, C; Disner, SG; Davenport, ND; Sponheim, SR; Koch, SBJ; Frijling, JL; Nawijn, L; van Zuiden, M; Olff, M; Veltman, DJ; Gordon, EM; May, G; Nelson, SM; Jia-Richards, M; Neria, Y; Morey, RA (2024). Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium.. Biol Psychiatry Glob Open Sci, 4(1), 299-307. [doi]
   (last updated on 2026/01/20)

   Abstract:
   BACKGROUND: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. METHODS: Data were collected from 9 sites taking part in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) PTSD Consortium (n= 584) and included itemized PTSD symptom scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and trauma-exposed (TE)-only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. A random forest classification model was built on a training set using cross-validation, and the averaged cross-validation model performance for classification was evaluated using the area under the curve. The model was tested using a fully independent portion of the data (test dataset), and the test area under the curve was evaluated. RESULTS: rsFC signatures differentiated TE-only participants from PTSD and ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and ITRED-only participants mainly involved default mode network-related pathways. Some unique features, such as connectivity within the frontoparietal network, differentiated TE-only participants from one group (PTSD or ITRED-only) but to a lesser extent from the other group. CONCLUSIONS: Neural network connectivity supports ITRED as a novel neurobiologically based approach to classifying posttrauma psychopathology.