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Stress contributes to transdiagnostic morbidity and mortality across a wide range of physical and mental health problems. VR tasks have been validated as stressors with robust effect sizes for VR-based stressors to evoke stress across the most common autonomic and adrenocortical stress biomarkers. However, meta-analytic validation of VR stressors have resulted in inconsistent logic: why should something that isn't real evoke a very real suite of stress responses? This review posits that conceptually addressing this question requires differentiating a cause, "stressor", from effects, "stress". Stress comprises a series of well-delineated perturbations in biological systems, such as autonomic and adrenocortical biomarkers in response to stressors. Despite their ubiquity, decades of literature have back-calculated stressor intensity based on the magnitude of a stress response. This causal directionality is not logical, yet remains pervasive because seemingly objective stress indices have generated a wealth of findings showing how stress gets under the skin and skull. This has created challenges for providing clear guidance and strategies to measure acute stressor intensity. Binary thinking about whether something is (not) real has stifled advances in understanding how to measure the dosage of a stressful environment. As a function of being programmed, individualizable, and titrated, virtual reality (VR) based stressors offer the field a platform for quantifying the dose of a stressor and generating reliable dose-response curves. This also raises the possibility to safely and ethically integrate psychosocial stressor administration into clinical and therapeutic settings. For example, Social Evaluative Threat experiments effectively trigger a stress response both in a laboratory setting and in built environments, while also upholding hard-fought trust and rapport with care providers. By focusing attention on the measurement of the stressor, VR paradigms can advance tangible understanding of stressors themselves and the pathways to the stress response., (© 2024. The Author(s).)

This report examined whether Virtual Reality Exposure Therapy (VRET) could be used in the treatment of posttraumatic stress disorder (PTSD) symptoms in the aftermath of a serious motor vehicle accident. Six individuals reporting either full or severe subsyndromal PTSD completed 10 sessions of VRET, which was conducted using software designed to create real-time driving scenarios. Results indicated significant reductions in posttrauma symptoms involving reexperiencing, avoidance, and emotional numbing, with effect sizes ranging from d=.79 to d=1.49. Indices of clinically significant and reliable change suggested that the magnitude of these changes was meaningful. Additionally, high levels of perceived reality ("presence") within the virtual driving situation were reported, and patients reported satisfaction with treatment. Results are discussed in light of the possibility for VRET to be useful in guiding exposure in the treatment of PTSD following road accidents.