How well can young people with Asperger's disorder recognize threat and learn about affect in faces?: A pilot study

Miyahara, Motohide; Ruffman, Ted; Fujita, Chikako; Tsujii, Masatsugu

doi:10.1016/j.rasd.2009.09.010

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…Pelphrey and Carter, 2008). Using the same prisoners' faces as stimuli, we found that individuals with very high-functioning autism could distinguish prisoners' faces from control faces equally well as neurotypical individuals who were matched for non-verbal ability (Miyahara et al, 2010). In our previous study, however, a pair of MUR and CON faces was presented on a sheet of paper in order for the participants to compare their perceived dangerousness.…”

Section: Discussionmentioning

confidence: 86%

Functional connectivity between amygdala and facial regions involved in recognition of facial threat

Miyahara

Harada

Ruffman

et al. 2011

Social Cognitive and Affective Neuroscience

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The recognition of threatening faces is important for making social judgments. For example, threatening facial features of defendants could affect the decisions of jurors during a trial. Previous neuroimaging studies using faces of members of the general public have identified a pivotal role of the amygdala in perceiving threat. This functional magnetic resonance imaging study used face photographs of male prisoners who had been convicted of first-degree murder (MUR) as threatening facial stimuli. We compared the subjective ratings of MUR faces with those of control (CON) faces and examined how they were related to brain activation, particularly, the modulation of the functional connectivity between the amygdala and other brain regions. The MUR faces were perceived to be more threatening than the CON faces. The bilateral amygdala was shown to respond to both MUR and CON faces, but subtraction analysis revealed no significant difference between the two. Functional connectivity analysis indicated that the extent of connectivity between the left amygdala and the face-related regions (i.e. the superior temporal sulcus, inferior temporal gyrus and fusiform gyrus) was correlated with the subjective threat rating for the faces. We have demonstrated that the functional connectivity is modulated by vigilance for threatening facial features.

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Section: Discussionmentioning

confidence: 86%

Functional connectivity between amygdala and facial regions involved in recognition of facial threat

Miyahara

Harada

Ruffman

et al. 2011

Social Cognitive and Affective Neuroscience

Self Cite

View full text Add to dashboard Cite

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“…Five studies found a significant main effect of time only when evaluating FER measures (i.e. Beaumont & Sofronoff, 2008; Chung et al, 2016; Dadds et al, 2014; Miyahara et al, 2010; Silver & Oakes, 2001).…”

Section: Resultsmentioning

confidence: 99%

Measuring change in facial emotion recognition in individuals with autism spectrum disorder: A systematic review

Wieckowski

Flynn

Richey

et al. 2020

Autism

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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.

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Facial Emotion Recognition in Children with High Functioning Autism and Children with Social Phobia

Wong

Beidel

Sarver

et al. 2012

Child Psychiatry Hum Dev

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Recognizing facial affect is essential for effective social functioning. This study examines emotion recognition abilities in children aged 7-13 years with High Functioning Autism (HFA = 19), Social Phobia (SP = 17), or typical development (TD = 21). Findings indicate that all children identified certain emotions more quickly (e.g., happy < anger, disgust, sad < fear) and more accurately (happy) than other emotions (disgust). No evidence was found for negative interpretation biases in children with HFA or SP (i.e., all groups showed similar ability to discriminate neutral from non-neutral facial expressions). However, distinct between-group differences emerged when considering facial expression intensity. Specifically, children with HFA detected mild affective expressions less accurately than TD peers. Behavioral ratings of social effectiveness or social anxiety were uncorrelated with facial affect recognition abilities across children. Findings have implications for social skills treatment programs targeting youth with skill deficits.

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How well can young people with Asperger's disorder recognize threat and learn about affect in faces?: A pilot study

Cited by 5 publications

References 33 publications

Functional connectivity between amygdala and facial regions involved in recognition of facial threat

Functional connectivity between amygdala and facial regions involved in recognition of facial threat

Measuring change in facial emotion recognition in individuals with autism spectrum disorder: A systematic review

Facial Emotion Recognition in Children with High Functioning Autism and Children with Social Phobia

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