Physiological responses to the virtual reality-based Trier social stress test in patients with psychosis

Author:

Lee Bo Mi,Kang Chae Yeong,Li LingORCID,Rami Fatima ZahraORCID,Chung Young-ChulORCID

Abstract

Abstract Objectives The Trier social stress test (TSST) is one of the most reliable and widely used laboratory tests for evaluating the physiological stress response. We developed a virtual reality-based TSST (VR-TSST) and investigated the physiological responses to this test in patients with psychosis and healthy controls (HCs). Methods The participants comprised 60 patients with psychosis and 66 HCs. The VR-TSST consisted of three scenarios: a resting phase (baseline; 2 min), a job interview (5 min), and a mental arithmetic task (5 min). Blood cortisol levels were measured at baseline, during the test, and at 5–10 min and 30 min after the test. The skin conductance level, heart rate, and RR intervals were measured at baseline, during the job interview, and during the arithmetic task. Results The VR-TSST produced no discernible cortisol response in patients with psychosis compared to the HCs. However, a higher skin conductance level and heart rate and shorter RR intervals were found in the patients than in the HCs at baseline, during the job interview, and during the arithmetic task. Conclusion These findings suggest that the current version of the VR-TSST induces stronger autonomic and cardiovascular, but not endocrine, responses in patients with psychosis than in HCs. The VR-TSST could be a valuable tool to evaluate or train the stress response in patients with psychosis.

Funder

Korean Mental Health Technology R&D Project, Ministry of Health & Welfare

Korea Health Technology R&D Project through the Korea Health Industry Development Institute

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Software

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3