Dissecting Fear and Emotional Pain in Posttraumatic Stress Disorder: From Symptom Networks to Neural Signatures

Ziv Ben-Zion, Erin Z. Basol, Alexander J. Simon, Maayan Abargil, Katherine Samonek, Megan Paterson, Tobias R. Spiller, Or Duek, Stefan Just, Katrin Preller, Jakcob N. Keynan, Roee Admon, Israel Liberzon, Arieh Y. Shalev, Talma Hendler, Ifat Levy, Jutta Joormann, Dustin Scheinost, Ilan Harpaz-Rotem

Research output: Contribution to journalArticlepeer-review

Abstract

Background Posttraumatic stress disorder (PTSD) is a heterogeneous condition with diverse symptom presentations and emotional experiences. While fear is traditionally viewed as central, growing evidence highlights the role of non–fear-based emotions, such as sadness, guilt, and shame—collectively termed emotional pain. This study aimed to identify fear- and emotional pain–based PTSD symptom profiles and their neural correlates across 2 independent samples. Methods In study 1 ( N = 838), trauma-exposed individuals with probable PTSD completed the PTSD Checklist for DSM-5 and subjective ratings of fear and emotional pain. Item-level network analysis was conducted to identify central symptoms and relationships. In study 2 ( N = 162), recent trauma survivors with high PTSD symptoms underwent resting-state and task-based functional magnetic resonance imaging scans 1 month after trauma and completed follow-up clinical assessment at 14 months after trauma. Connectome-based predictive modeling (CPM) was used to predict chronic symptom severity for fear- and emotional pain–based profiles, identified in study 1. Results Emotional pain was rated as more impairing than fear by most participants (69%). Symptom networks showed distinct patterns: Fear was associated with flashbacks, nightmares, distressing memories, exaggerated startle, and external avoidance; emotional pain was linked to anhedonia, negative beliefs, negative emotions, sleep disturbance, and emotional reactivity. CPM predicted chronic fear–based symptom severity (ρ = 0.228, p < .001), but not emotional pain (ρ = 0.167, p = .055). Predictive features included connections across anterior default mode, central executive, salience, motor-sensory, and subcortical networks. Conclusions Emotional pain and fear may represent distinct PTSD dimensions. Disentangling their neural signatures may improve diagnostic precision and guide personalized, mechanism-based interventions for trauma-related psychopathology.

Original languageEnglish (US)
JournalBiological Psychiatry
DOIs
StateAccepted/In press - 2026

Keywords

  • Connectome-based predictive modeling
  • CPM
  • Emotional pain
  • Fear
  • Network analysis
  • Posttraumatic stress disorder
  • PTSD
  • Subtyping

ASJC Scopus subject areas

  • Biological Psychiatry

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