Suppr超能文献

一项使用微表情训练工具调查情感识别矫正对精神分裂症有效性的初步研究。

A pilot study to investigate the effectiveness of emotion recognition remediation in schizophrenia using the micro-expression training tool.

作者信息

Russell Tamara A, Chu Elvina, Phillips Mary L

机构信息

Section of Neuroscience and Emotion, Institute of Psychiatry, London, UK.

出版信息

Br J Clin Psychol. 2006 Nov;45(Pt 4):579-83. doi: 10.1348/014466505X90866.

Abstract

OBJECTIVE

Emotion recognition impairments are a common feature of schizophrenia. This pilot study investigates the effectiveness of the 'micro-expressions training tool' (METT) to help improve this skill.

METHOD

Twenty patients with schizophrenia and 20 healthy matched control participants completed the assessment, training and practice subsections of the METT. They were additionally evaluated pre- and post-training on an emotion-matching task (EMT).

RESULTS

Both groups improved with METT training; patients with schizophrenia improved to a level that did not distinguish them from pre-trained controls (on both METT and EMT assessments).

CONCLUSIONS

Patients with schizophrenia make significant improvements in emotion recognition following training with this tool, suggesting that brief remediation therapy may be a valuable adjunct to existing treatment programmes.

摘要

目的

情绪识别障碍是精神分裂症的常见特征。这项试点研究调查了“微表情训练工具”(METT)在帮助提高这项技能方面的有效性。

方法

20名精神分裂症患者和20名匹配的健康对照参与者完成了METT的评估、训练和练习部分。他们还在训练前和训练后接受了情绪匹配任务(EMT)的评估。

结果

两组在METT训练后都有改善;精神分裂症患者的改善程度达到了在METT和EMT评估中与训练前的对照组没有差异的水平。

结论

使用该工具训练后,精神分裂症患者在情绪识别方面有显著改善,这表明简短的矫正治疗可能是现有治疗方案的有价值辅助手段。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验