Neurotechnological solutions for post-traumatic stress disorder: A perspective review and concept proposal

IF 2.8 Q3 ENGINEERING, BIOMEDICAL
Richard Laugharne, Mohsen Farid, Christopher James, Anirban Dutta, Christopher Mould, Noelle Molten, Jonathan Laugharne, Rohit Shankar
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引用次数: 0

Abstract

Post-traumatic stress disorder (PTSD) is an anxiety condition caused by exposure to severe trauma. It is characterised by nightmares, flashbacks, hyper-vigilance and avoidance behaviour. These all lead to impaired functioning reducing quality of life. PTSD affects 2–5% of the population globally. Most sufferers cannot access effective treatment, leading to impaired psychological functioning reducing quality of life. Eye movement desensitisation and reprocessing (EMDR) is a non-invasive brain stimulation treatment that has shown significant clinical effectiveness in PTSD. Another treatment modality, that is, trauma-focused cognitive behavioural therapy is also an effective intervention. However, both evidence-based treatments are significantly resource intensive as they need trained therapists to deliver them. A concept of a neuro-digital tool for development is proposed to put to clinical practice of delivering EMDR to improve availability, efficiency and effectiveness of treatment. The evidence in using new technologies to measure sleep, geolocation and conversational analysis of social media to report objective outcome measures is explored. If achieved, this can be fed back to users with data anonymously collated to evaluate and improve the tool. Coproduction would be at the heart of product development so that the tool is acceptable and accessible to people with the condition.

创伤后应激障碍的神经技术解决方案:观点回顾和概念建议
创伤后应激障碍(PTSD)是一种因遭受严重创伤而导致的焦虑症。它的特征是噩梦、倒叙、过度警觉和回避行为。这些都会导致功能受损,降低生活质量。创伤后应激障碍影响着全球 2-5% 的人口。大多数患者无法获得有效的治疗,导致心理功能受损,降低了生活质量。眼动脱敏和再处理疗法(EMDR)是一种非侵入性的脑刺激疗法,对创伤后应激障碍有显著的临床疗效。另一种治疗模式,即创伤认知行为疗法也是一种有效的干预措施。然而,这两种循证疗法都需要训练有素的治疗师来实施,因此需要大量资源。我们提出了一个开发神经数字工具的概念,将其用于提供 EMDR 的临床实践,以提高治疗的可用性、效率和有效性。探讨了使用新技术测量睡眠、地理位置和社交媒体对话分析来报告客观结果测量的证据。如果实现了这一点,就可以将匿名整理的数据反馈给用户,以评估和改进该工具。共同生产将是产品开发的核心,以便该工具能够被患者接受和使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
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