Suppr超能文献

精神疾病中的情绪表达:临床医生的新技术。

Emotional expression in psychiatric conditions: New technology for clinicians.

机构信息

Department of Psychiatry, Adult Psychiatry Clinic, Faculty of Medicine, Medical University of Gdansk, Gdansk, Poland.

Neurodevelopmental Disorders Research Lab, Institute of Experimental and Clinical Medicine, Faculty of Medicine, University of Rzeszow, Rzeszow, Poland.

出版信息

Psychiatry Clin Neurosci. 2019 Feb;73(2):50-62. doi: 10.1111/pcn.12799. Epub 2018 Dec 25.

Abstract

AIM

Emotional expressions are one of the most widely studied topics in neuroscience, from both clinical and non-clinical perspectives. Atypical emotional expressions are seen in various psychiatric conditions, including schizophrenia, depression, and autism spectrum conditions. Understanding the basics of emotional expressions and recognition can be crucial for diagnostic and therapeutic procedures. Emotions can be expressed in the face, gesture, posture, voice, and behavior and affect physiological parameters, such as the heart rate or body temperature. With modern technology, clinicians can use a variety of tools ranging from sophisticated laboratory equipment to smartphones and web cameras. The aim of this paper is to review the currently used tools using modern technology and discuss their usefulness as well as possible future directions in emotional expression research and treatment strategies.

METHODS

The authors conducted a literature review in the PubMed, EBSCO, and SCOPUS databases, using the following key words: 'emotions,' 'emotional expression,' 'affective computing,' and 'autism.' The most relevant and up-to-date publications were identified and discussed. Search results were supplemented by the authors' own research in the field of emotional expression.

RESULTS

We present a critical review of the currently available technical diagnostic and therapeutic methods. The most important studies are summarized in a table.

CONCLUSION

Most of the currently available methods have not been adequately validated in clinical settings. They may be a great help in everyday practice; however, they need further testing. Future directions in this field include more virtual-reality-based and interactive interventions, as well as development and improvement of humanoid robots.

摘要

目的

情绪表达是神经科学中研究最广泛的课题之一,无论是从临床还是非临床的角度来看都是如此。在各种精神疾病中,如精神分裂症、抑郁症和自闭症谱系障碍中,都会出现情绪表达异常的情况。了解情绪表达和识别的基础知识对于诊断和治疗程序至关重要。情绪可以通过面部表情、手势、姿势、声音和行为来表达,并影响生理参数,如心率或体温。随着现代技术的发展,临床医生可以使用各种工具,从复杂的实验室设备到智能手机和网络摄像头。本文的目的是回顾目前使用现代技术的工具,并讨论它们在情绪表达研究和治疗策略中的有用性以及可能的未来方向。

方法

作者在 PubMed、EBSCO 和 SCOPUS 数据库中进行了文献综述,使用了以下关键词:“情绪”、“情绪表达”、“情感计算”和“自闭症”。确定并讨论了最相关和最新的出版物。搜索结果还补充了作者在情绪表达领域的自有研究。

结果

我们对当前可用的技术诊断和治疗方法进行了批判性评价。最重要的研究在表格中进行了总结。

结论

目前大多数可用的方法尚未在临床环境中得到充分验证。它们可能对日常实践有很大帮助;然而,它们需要进一步的测试。该领域的未来发展方向包括更多基于虚拟现实和互动的干预措施,以及人形机器人的开发和改进。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验