Trevisan Dominic A, Bowering Marleis, Birmingham Elina
Faculty of Education, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6 Canada.
Linguistics Department, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6 Canada.
Mol Autism. 2016 Nov 11;7:46. doi: 10.1186/s13229-016-0108-6. eCollection 2016.
A prominent diagnostic criterion of autism spectrum disorder (ASD) relates to the abnormal or diminished use of facial expressions. Yet little is known about the mechanisms that contribute to this feature of ASD.
We showed children with and without ASD emotionally charged video clips in order to parse out individual differences in spontaneous production of facial expressions using automated facial expression analysis software.
Using hierarchical multiple regression, we sought to determine whether alexithymia (characterized by difficulties interpreting one's own feeling states) contributes to diminished facial expression production. Across groups, alexithymic traits-but not ASD traits, IQ, or sex-were associated with quantity of facial expression production.
These results accord with a growing body of research suggesting that many emotion processing abnormalities observed in ASD may be explained by co-occurring alexithymia. Developmental and clinical considerations are discussed, and it is argued that alexithymia is an important but too often ignored trait associated with ASD that may have implications for subtyping individuals on the autism spectrum.
自闭症谱系障碍(ASD)的一个突出诊断标准与面部表情的异常使用或减少有关。然而,对于导致ASD这一特征的机制知之甚少。
我们向患有和未患有ASD的儿童展示充满情感的视频片段,以便使用自动面部表情分析软件剖析自发产生面部表情的个体差异。
使用分层多元回归,我们试图确定述情障碍(其特征为难以解释自身的情感状态)是否会导致面部表情产生减少。在所有组中,述情障碍特质——而非ASD特质、智商或性别——与面部表情产生的数量相关。
这些结果与越来越多的研究一致,表明在ASD中观察到的许多情绪处理异常可能由共病的述情障碍来解释。讨论了发育和临床方面的考虑因素,并认为述情障碍是与ASD相关的一个重要但常常被忽视的特质,可能对自闭症谱系中的个体进行亚型分类有影响。