测量自闭症谱系障碍个体面部表情识别能力的变化：一项系统综述。
Measuring change in facial emotion recognition in individuals with autism spectrum disorder: A systematic review.
作者信息
Wieckowski Andrea Trubanova, Flynn L Taylor, Richey J Anthony, Gracanin Denis, White Susan W
机构信息
Drexel University, USA.
Virginia Tech, USA.
出版信息
Autism. 2020 Oct;24(7):1607-1628. doi: 10.1177/1362361320925334. Epub 2020 Jun 18.
Abstract
Children and adults with autism spectrum disorder show difficulty recognizing facial emotions in others, which makes social interaction challenging. While there are many treatments developed to improve facial emotion recognition, there is no agreement on the best way to measure such abilities in individuals with autism spectrum disorder. The purpose of this review is to examine studies that were published between January 1998 and November 2019 and have measured change in facial emotion recognition to evaluate the effectiveness of different treatments. Our search yielded 65 studies, and within these studies, 36 different measures were used to evaluate facial emotion recognition in individuals with autism spectrum disorder. Only six of these measures, however, were used in different studies and by different investigators. In this review, we summarize the different measures and outcomes of the studies, in order to identify promising assessment tools and inform future research.
摘要
患有自闭症谱系障碍的儿童和成人在识别他人面部情绪方面存在困难，这使得社交互动具有挑战性。虽然已经开发出许多治疗方法来改善面部情绪识别能力，但对于如何以最佳方式测量自闭症谱系障碍患者的这种能力，目前尚无定论。本综述的目的是审视1998年1月至2019年11月期间发表的、测量面部情绪识别变化以评估不同治疗方法有效性的研究。我们的检索产生了65项研究，在这些研究中，使用了36种不同的测量方法来评估自闭症谱系障碍患者的面部情绪识别能力。然而，其中只有六种测量方法被不同的研究和不同的研究者使用。在本综述中，我们总结了这些研究的不同测量方法和结果，以便确定有前景的评估工具并为未来的研究提供信息。
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