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
JournalBiological Psychiatry
DOIs
StateAccepted/In press - 1 Jan 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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