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Predicting Post-Traumatic Stress Disorder Treatment Response Using Heart Rate Variability to Virtual Reality Environment and Modified Stroop Task

An Exploratory Study

Bibliographic Data

ID22004002
AuthorsJeffrey M Pyne (0000-0001-9501-6053, Central Arkansas Veterans Healthcare System, corresponding author), Joseph I Constans (0000-0003-4766-582X, Tulane University), Brenda K Wiederhold (0000-0002-3320-0303, Virtual Reality Medical Center), Susan M Jegley (Central Arkansas Veterans Healthcare System), Susan Jegley (Central Arkansas Veterans Healthcare System), Aline Rabalais (Arthritis Treatment Center), Bo Hu (0009-0006-8986-3161, University of Arkansas for Medical Sciences), Marcela C Weber (0000-0003-1650-9074, Central Arkansas Veterans Healthcare System), Kent D Hinkson (0000-0001-8765-7184, Central Arkansas Veterans Healthcare System), Mark D Wiederhold (Virtual Reality Medical Center)
Year2023
Volume26
Issue12
Pages896-903
Publication date2023-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCyberpsychology Behavior and Social Networking (JOURNAL)
Journal identifiersISSN: 2152-2715 • E-ISSN: 2152-2723
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1089/cyber.2023.0164
PMID38032955
OpenAlexW4389167161
LanguageEN
Citations received2
References cited47

Predicting treatment response can inform treatment decisions, expectations, and optimize use of mental health treatment resources. This study examined heart rate (HR), heart rate variability (HRV), and a modified Stroop task (mStroop) to predict post-traumatic stress disorder (PTSD) treatment response. We report on an observational, longitudinal study with 45 U.S. veterans in outpatient PTSD care, who had deployed to Iraq or Afghanistan. HR and HRV were collected before, during, and after virtual reality (VR) combat and civilian scenes. HRV recovery was defined as HRV after a 3-minute VR simulation minus HRV during a VR scene. mStroop threat variables included index scores for combat and general threat. Self-report data were collected at baseline and 6 months later. The outcome variable was the 17-item Clinician Administered PTSD Scale (CAPS). Controlling for baseline CAPS and number of combat experiences, the following baseline HRV recovery variables were significant predictors of 6-month CAPS: standard deviation of normal beat to beat interval (SDNN) after combat scene minus SDNN during combat scene and low-frequency (LF HRV) after civilian scene minus LF during civilian scene. HRV at rest, HR reactivity, HR recovery, and mStroop scores did not predict treatment response. In conclusion, HRV recovery variables in the context of a standardized VR stressor were significant predictors of PTSD treatment response after controlling for baseline CAPS and number of combat experiences. The direction of this relationship indicates that greater baseline HRV recovery predicts lower 6-month PTSD symptom severity. This was an exploratory study in need of replication

Audiology · Blood pressure · Cognition · Exploratory research · Heart rate · Heart rate variability · Physical medicine and rehabilitation · Physical therapy · Psychiatry · Stressor · Stroop effect · Traumatic stress · Clinical Psychology · Heart Rate Variability and Autonomic Control · Medicine · Posttraumatic Stress Disorder Research · Psychology · Stress Responses and Cortisol · Internal Medicine

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Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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