Suppr超能文献

精神分裂症和双相情感障碍中的面部表情识别与信息处理

Facial affect recognition and information processing in schizophrenia and bipolar disorder.

作者信息

Addington J, Addington D

机构信息

Department of Psychiatry, University of Calgary, Foothills Hospital, Alberta, Canada.

出版信息

Schizophr Res. 1998 Aug 17;32(3):171-81. doi: 10.1016/s0920-9964(98)00042-5.

Abstract

This study assessed facial affect recognition and visual attention in a sample of 40 individuals with schizophrenia, at hospitalization and 3 months later during an out-patient phase of relative remission. Secondly, at the out-patient phase the performance of the individuals with schizophrenia on tasks of visual attention, facial affect recognition and facial recognition was compared to the performances of a non-psychiatric control group and a bipolar group on these tasks. Attention was measured with the Continuous Performance Test and the Span of Apprehension task. Facial affect recognition was measured with a discrimination task and an identification task. A measure of facial recognition was also used. The schizophrenia patients performed more poorly on measures of facial affect recognition and facial recognition than both control groups. Despite a significant improvement in symptoms over time, there was no change in facial affect recognition for the schizophrenia subjects. For the schizophrenia subjects there were significant associations between attention tasks and the facial tasks. These results suggest that for individuals with schizophrenia, deficits in facial affect recognition are stable deficits that are related to other impairments in neurocognition. This has implications for psychosocial treatments.

摘要

本研究评估了40名精神分裂症患者在住院时以及相对缓解门诊阶段3个月后的面部表情识别和视觉注意力。其次,在门诊阶段,将精神分裂症患者在视觉注意力、面部表情识别和面部识别任务上的表现与非精神科对照组和双相情感障碍组在这些任务上的表现进行了比较。注意力通过连续操作测试和领悟广度任务进行测量。面部表情识别通过辨别任务和识别任务进行测量。还使用了面部识别测量方法。精神分裂症患者在面部表情识别和面部识别测量上的表现比两个对照组都差。尽管随着时间推移症状有显著改善,但精神分裂症患者的面部表情识别没有变化。对于精神分裂症患者,注意力任务与面部任务之间存在显著关联。这些结果表明,对于精神分裂症患者,面部表情识别缺陷是稳定的缺陷,与神经认知的其他损伤有关。这对心理社会治疗有启示意义。

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