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Emotion recognition of static and dynamic faces in autism spectrum disorder
Authors:Peter G. Enticott  Hayley A. Kennedy  Patrick J. Johnston  Nicole J. Rinehart  Bruce J. Tonge  John R. Taffe
Affiliation:1. Monash Alfred Psychiatry Research Centre, The Alfred and Central Clinical School, Monash University, Melbourne, VIC, Australia;2. Centre for Developmental Psychiatry and Psychology, School of Psychology and Psychiatry, Monash University, Clayton, VIC, Australia peter.enticott@deakin.edu.au;4. Monash Alfred Psychiatry Research Centre, The Alfred and Central Clinical School, Monash University, Melbourne, VIC, Australia;5. Department of Psychology, University of York, York, UK;6. Centre for Developmental Psychiatry and Psychology, School of Psychology and Psychiatry, Monash University, Clayton, VIC, Australia
Abstract:There is substantial evidence for facial emotion recognition (FER) deficits in autism spectrum disorder (ASD). The extent of this impairment, however, remains unclear, and there is some suggestion that clinical groups might benefit from the use of dynamic rather than static images. High-functioning individuals with ASD (n = 36) and typically developing controls (n = 36) completed a computerised FER task involving static and dynamic expressions of the six basic emotions. The ASD group showed poorer overall performance in identifying anger and disgust and were disadvantaged by dynamic (relative to static) stimuli when presented with sad expressions. Among both groups, however, dynamic stimuli appeared to improve recognition of anger. This research provides further evidence of specific impairment in the recognition of negative emotions in ASD, but argues against any broad advantages associated with the use of dynamic displays.
Keywords:Autism  Asperger's disorder  Facial emotion recognition  Dynamic faces
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