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Simultaneous Application of Transcranial Direct Current Stimulation during Virtual Reality Exposure
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Predicting Post-Traumatic Stress Disorder Treatment Response Using Heart Rate Variability to Virtual Reality

Jeffrey M Pyne1,2,3, Joseph I Constans4,5,6, Brenda K Wiederhold7

  • 1Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, Arkansas, USA.

Cyberpsychology, Behavior and Social Networking
|November 30, 2023
PubMed
Summary
This summary is machine-generated.

Heart rate variability recovery during virtual reality simulations can predict post-traumatic stress disorder (PTSD) treatment response in veterans. Greater HRV recovery suggests better treatment outcomes, aiding in resource optimization.

Keywords:
attentional biascombat disordersheart rateheart rate variabilitypost-traumaticpredictionstress disorders

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Area of Science:

  • Psychiatry
  • Neuroscience
  • Veterans Health

Background:

  • Predicting treatment response is crucial for optimizing mental health resources and patient expectations.
  • Post-traumatic stress disorder (PTSD) affects many veterans, necessitating effective and personalized treatment strategies.

Purpose of the Study:

  • To investigate if physiological measures like heart rate (HR) and heart rate variability (HRV), along with a modified Stroop task (mStroop), can predict treatment response in veterans with PTSD.
  • To identify specific HRV recovery patterns during virtual reality (VR) exposure that correlate with reduced PTSD symptom severity.

Main Methods:

  • An observational, longitudinal study involving 45 U.S. veterans undergoing outpatient PTSD treatment.
  • Collected HR and HRV data before, during, and after VR simulations (combat and civilian scenes).
  • Assessed PTSD symptoms using the Clinician Administered PTSD Scale (CAPS) at baseline and 6 months, controlling for baseline CAPS and combat experience.

Main Results:

  • Baseline HRV recovery variables, specifically standard deviation of normal beat to beat interval (SDNN) and low-frequency (LF HRV) recovery during VR scenes, significantly predicted 6-month CAPS scores.
  • Greater HRV recovery was associated with lower PTSD symptom severity at 6 months.
  • HRV at rest, HR reactivity, HR recovery, and mStroop scores did not predict treatment response.

Conclusions:

  • HRV recovery during standardized VR stressors is a significant predictor of PTSD treatment response in veterans.
  • These findings suggest that physiological markers of stress recovery can offer valuable insights into treatment efficacy.
  • Further research is needed to replicate these exploratory findings in larger, diverse veteran populations.