A network approach to posttraumatic stress disorder: Comparing interview and self-report networks

Area of Science:

• Psychiatry and Clinical Psychology
• Network Analysis in Mental Health

Background:

• Trauma can lead to chronic psychopathology through intertwined fear, reward, and interpersonal processes.
• Network analysis offers a method to identify symptom drivers and treatment targets in posttraumatic stress disorder (PTSD).
• Limited research exists on network structures within PTSD treatment-seeking populations.

Purpose of the Study:

• To investigate the network structure of symptoms in adults seeking treatment for PTSD.
• To compare self-report and interview-based symptom networks in this population.
• To identify central symptoms that may serve as therapeutic targets.

Main Methods:

• Utilized network analysis on data from 350 treatment-seeking adults with primary PTSD.
• Collected data through interview and self-report measures of PTSD severity.
• Estimated and compared self-report and interview-based symptom networks.

Main Results:

• Both network types revealed interconnected communities of reexperiencing and dysphoric symptoms, including interpersonal detachment and numbing.
• Centrality profiles were highly correlated between network types (r = .71).
• Cued reexperiencing and interpersonal detachment emerged as highly central symptoms. Self-reported symptoms showed greater interconnectedness, suggesting lower specificity.

Conclusions:

• Interrelated fear and interpersonal processes appear to drive functional impairment in PTSD among treatment-seekers.
• Interview-based networks may provide a clearer delineation of influential PTSD symptoms.
• Therapeutic interventions targeting cued reexperiencing and interpersonal detachment could lead to broader symptom reduction.