A systematic review and meta-analysis of facial emotion recognition in autism spectrum disorder: The specificity of deficits and the role of task characteristics

Author(s):  
Michael K. Yeung
2019 ◽  
Vol 40 (6) ◽  
pp. 1421-1454 ◽  
Author(s):  
Tamar Kalandadze ◽  
Valentina Bambini ◽  
Kari-Anne B. Næss

AbstractIndividuals with autism spectrum disorder (ASD) often experience difficulty in comprehending metaphors compared to individuals with typical development (TD). However, there is a large variation in the results across studies, possibly related to the properties of the metaphor tasks. This preregistered systematic review and meta-analysis (a) explored the properties of the metaphor tasks used in ASD research, and (b) investigated the group difference between individuals with ASD and TD on metaphor comprehension, as well as the relationship between the task properties and any between-study variation. A systematic search was undertaken in seven relevant databases. Fourteen studies fulfilled our predetermined inclusion criteria. Across tasks, we detected four types of response format and a great variety of metaphors in terms of familiarity, syntactic structure, and linguistic context. Individuals with TD outperformed individuals with ASD on metaphor comprehension (Hedges’ g = −0.63). Verbal explanation response format was utilized in the study showing the largest effect size in the group comparison. However, due to the sparse experimental manipulations, the role of task properties could not be established. Future studies should consider and report task properties to determine their role in metaphor comprehension, and to inform experimental paradigms as well as educational assessment.


2014 ◽  
Vol 159 (2-3) ◽  
pp. 509-514 ◽  
Author(s):  
Michael Sachse ◽  
Sabine Schlitt ◽  
Daniela Hainz ◽  
Angela Ciaramidaro ◽  
Henrik Walter ◽  
...  

Autism ◽  
2020 ◽  
Vol 24 (7) ◽  
pp. 1607-1628
Author(s):  
Andrea Trubanova Wieckowski ◽  
L Taylor Flynn ◽  
J Anthony Richey ◽  
Denis Gracanin ◽  
Susan W White

Children and adults with autism spectrum disorder are less accurate in facial emotion recognition, which is thought to contribute to impairment in social functioning. Although many interventions have been developed to improve facial emotion recognition, there is no consensus on how to best measure facial emotion recognition in people with autism spectrum disorder. This lack of agreement has led to wide variability in how facial emotion recognition is measured and, subsequently, inconsistent findings related to impact of intervention targeting facial emotion recognition impairment. The purpose of this review is to synthesize the extant research on measurement of facial emotion recognition in the context of treatment. We conducted an electronic database search to identify relevant, peer-reviewed articles published between January 1998 and November 2019 to identify studies evaluating change in facial emotion recognition in autism spectrum disorder. Sixty-five studies met inclusion criteria, utilizing a total of 36 different assessment measures for facial emotion recognition in individuals with autism spectrum disorder. Only six of the measures were used in multiple studies conducted by different investigative teams. The outcomes of the studies are reported and summarized with the goal of informing future research. Lay 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.


Author(s):  
Tai-Ling Liu ◽  
Peng-Wei Wang ◽  
Yi-Hsin Connie Yang ◽  
Gary Chon-Wen Shyi ◽  
Cheng-Fang Yen

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that is characterized by impaired social interaction, communication and restricted and repetitive behavior. Few studies have focused on the effect of facial emotion recognition on bullying involvement among individuals with ASD. The aim of this study was to examine the association between facial emotion recognition and different types of bullying involvement in adolescents with high-functioning ASD. We recruited 138 adolescents aged 11 to 18 years with high-functioning ASD. The adolescents’ experiences of bullying involvement were measured using the Chinese version of the School Bullying Experience Questionnaire. Their facial emotion recognition was measured using the Facial Emotion Recognition Task (which measures six emotional expressions and four degrees of emotional intensity). Logistic regression analysis was used to examine the association between facial emotion recognition and different types of bullying involvement. After controlling for the effects of age, gender, depression, anxiety, inattention, hyperactivity/impulsivity and opposition, we observed that bullying perpetrators performed significantly better on rating the intensity of emotion in the Facial Emotion Recognition Task; bullying victims performed significantly worse on ranking the intensity of facial emotion. The results of this study support the different deficits of facial emotion recognition in various types of bullying involvement among adolescents with high-functioning ASD. The different directions of association between bully involvement and facial emotion recognition must be considered when developing prevention and intervention programs.


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