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重症肌无力的面部表情识别。

Facial affect recognition in myasthenia gravis.

机构信息

Universidad de Deusto (Spain).

出版信息

Span J Psychol. 2013;16:E52. doi: 10.1017/sjp.2013.59.

DOI:10.1017/sjp.2013.59
PMID:23866249
Abstract

The assessment of facial expression is an important aspect of a clinical neurological examination, both as an indicator of a mood disorder and as a sign of neurological damage. To date, although studies have been conducted on certain psychosocial aspects of myasthenia, such as quality of life and anxiety, and on neuropsychological aspects such as memory, no studies have directly assessed facial emotion recognition accuracy. The aim of this study was to assess the facial emotion recognition accuracy (fear, surprise, sadness, happiness, anger, and disgust), empathy, and reaction time of patients with myasthenia. Thirty-five patients with myasthenia and 36 healthy controls were tested for their ability to differentiate emotional facial expressions. Participants were matched with respect to age, gender, and education level. Their ability to differentiate emotional facial expressions was evaluated using the computer-based program Feel Test. The data showed that myasthenic patients scored significantly lower (p < 0.05) than healthy controls in the total Feel score, fear, surprise, and higher reaction time. The findings suggest that the ability to recognize facial affect may be reduced in individuals with myasthenia.

摘要

面部表情评估是临床神经病学检查的一个重要方面,既是情绪障碍的指标,也是神经损伤的迹象。迄今为止,尽管已经对重症肌无力的某些社会心理方面(如生活质量和焦虑)和神经心理学方面(如记忆力)进行了研究,但尚无研究直接评估面部情绪识别的准确性。本研究旨在评估重症肌无力患者的面部情绪识别准确性(恐惧、惊讶、悲伤、快乐、愤怒和厌恶)、同理心和反应时间。对 35 名重症肌无力患者和 36 名健康对照者进行了测试,以评估他们区分情绪面部表情的能力。参与者在年龄、性别和教育水平方面相匹配。他们区分情绪面部表情的能力是通过基于计算机的 Feel Test 程序进行评估的。数据显示,重症肌无力患者在 Feel 总分、恐惧、惊讶和更高的反应时间方面的得分明显低于健康对照组(p < 0.05)。研究结果表明,重症肌无力患者识别面部情感的能力可能会降低。

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