Deficits in facial emotion recognition and implicit attitudes toward emotion among adolescents with high functioning autism spectrum disorder

ObjectiveImpaired social interaction is one of the core characteristics of autism spectrum disorder (ASD). This study was conducted to compare the facial emotion recognition (FER) abilities and emotional interference of adolescents with and without high-functioning ASD by performing the FER Task (FERT) using the faces of Taiwanese people and the Implicit Association Test (IAT), respectively.MethodsThis study recruited 71 adolescents with high-functioning ASD who aged at 11 to 18 years old as the ASD group and 63 adolescents without ASD from the Taiwanese community as the non-ASD group. We investigated FER abilities by conducting the FERT on six types of emotional expression with a three-level intensity rating, and we performed the IAT for evaluating the strength of a person's automatic association with mental representations of emotions in memory.ResultsCompared with the non-ASD group, the ASD group performed significantly worse on facial emotion differentiation and the ranking and rating of emotional intensity in the FERT. The ASD group had higher IAT scores than the non-ASD group.ConclusionThe results suggest that adolescents with high-functioning ASD have subtle deficits in facial emotion processing and emotional interference.     

Are emotion recognition abilities related to everyday social functioning in ASD? A meta-analysis

BackgroundMost developmental theories of autism spectrum disorders (ASD) emphasize a link between the ability to infer others' emotional states with their everyday social functioning. However, rarely has this association been empirically examined in this population.MethodsWe conducted a meta-analysis to quantitatively summarize correlations between performance on facial emotion recognition tasks and theoretically related variables broadly related to social functioning and other cognitive abilities.ResultsSixty-two correlation coefficients from 27 separate articles met our inclusion criteria. Correlations between the ability to recognize facial expressions (FER) and each category of variables were moderate but significant in the expected direction. FER was positively correlated with age, nonverbal and verbal intelligence, Theory of Mind, and adaptive functioning, and negatively correlated with alexithymia and higher ASD symptoms.ConclusionsThe findings of this meta-analysis indicate that FER abilities represent an important social cognitive ability given its relation to real-world social behavior and other characteristics and cognitive abilities. However, the striking lack of studies in this area calls for more research to gain a clearer understanding of the developmental significance of FER, especially in relation to the broader social impairment characteristic of ASD.     

Facial emotion processing and social adaptation in adults with and without autism spectrum disorder

Individuals with autism spectrum disorder (ASD) and individuals with intellectual disabilities without ASD have limited facial emotion recognition abilities, which may adversely impact social adjustment and other adaptive behavior. This study was designed to examine this relationship in adults with and without ASD. Two groups of adults with intellectual disability, one with a comorbid ASD (n = 19) and one without ASD (n = 28) completed two facial emotion tasks and two facial non-emotion tasks, each with two experimental paradigms (labeling and matching-to-sample). Social adaptation was measured with the Socialization, Living Skills, and Communication domains of the Vineland Adaptive Behavior Scales, interview edition (VABS; Sparrow, Balla, & Cicchetti, 1983). An ANCOVA with a repeated measures factor for the two tasks with IQ as the covariate found that ASD group scored significantly lower on both emotion and non-emotion facial processing tasks. Hierarchical multiple regression analyses showed that the association between facial emotion processing accuracy and the level of social adaptation was statistically significance for the ASD group only, and that only facial emotion processing accuracy was associated with social adaptation. Limitations of the study are discussed, explanations for the differential findings for the ASD and non-ASD groups are proposed, and implications for intervention are addressed.     

Diminished sensitivity and specificity at recognising facial emotional expressions of varying intensity underlie emotion-specific recognition deficits in autism spectrum disorders

BackgroundA plethora of research on facial emotion recognition in autism spectrum disorders (ASD) exists and reported deficits in ASD compared to controls, particularly for negative basic emotions. However, these studies have largely used static high intensity stimuli. The current study investigated facial emotion recognition across three levels of expression intensity from videos, looking at accuracy rates to investigate impairments in facial emotion recognition and error patterns (’confusions’) to explore potential underlying factors.MethodTwelve individuals with ASD (9 M/3F; M(age) = 17.3) and 12 matched controls (9 M/3F; M(age) = 16.9) completed a facial emotion recognition task including 9 emotion categories (anger, disgust, fear, sadness, surprise, happiness, contempt, embarrassment, pride) and neutral, each expressed by 12 encoders at low, intermediate, and high intensity.ResultsA facial emotion recognition deficit was found overall for the ASD group compared to controls, as well as deficits in recognising individual negative emotions at varying expression intensities. Compared to controls, the ASD group showed significantly more, albeit typical, confusions between emotion categories (at high intensity), and significantly more confusions of emotions as ‘neutral’ (at low intensity).ConclusionsThe facial emotion recognition deficits identified in ASD, particularly for negative emotions, are in line with previous studies using other types of stimuli. Error analysis showed that individuals with ASD had difficulties detecting emotional information in the face (sensitivity) at low intensity, and correctly identifying emotional information (specificity) at high intensity. These results suggest different underlying mechanisms for the facial emotion recognition deficits at low vs high expression intensity.     

Neurocognitive Functioning in Adolescents with Autism Spectrum Disorder

There is a paucity of research studying comprehensive neurocognitive profiles of adolescents with higher functioning autism spectrum disorders (ASD). This study compared the neurocognitive profiles of higher functioning adolescents with ASD (n = 30, mean age 13.5) with that of typically developing adolescents (n = 30; mean age 13.7). Adolescents with ASD demonstrated a significantly higher mean Verbal Intelligence Quotient compared to the standardized mean. However, the ASD group had significantly lower scores than the control group on the subtests Auditory Attention and Response Set, Memory for Faces, Visuomotor Precision, and Design Copying. Thus, particular strengths were seen in verbal reasoning, while weaknesses were observed in auditory attention, facial recognition memory, and visuomotor functions in adolescents with ASD.     

The misclassification of facial expressions in generalised social phobia

The aim of this study was to investigate facial expression recognition (FER) accuracy in social phobia and in particular to explore how facial expressions of emotion were misclassified. We hypothesised that compared with healthy controls, subjects with social phobia would be no less accurate in their identification of facial emotions (as reported in previous studies) but that they would misclassify facial expressions as expressing threatening emotions (anger, fear or disgust). Thirty individuals with social phobia and twenty-seven healthy controls completed a FER task which featured six basic emotions morphed using computer techniques between 0 percent (neutral) and 100 percent intensity (full emotion). Supporting our hypotheses we found no differences between the groups on measures of the accuracy of emotion recognition but that compared with healthy controls the social phobia group were more likely both to misclassify facial expressions as angry and to interpret neutral facial expressions as angry. The healthy control group were more likely to misclassify neutral expressions as sad. The importance of the role of these biases in social phobia needs further replication but may help in understanding the disorder and provide an interesting area for future research and therapy.     

Facial emotion recognition and alexithymia in adults with somatoform disorders

The primary aim of this study was to investigate facial emotion recognition (FER) in patients with somatoform disorders (SFD). Also of interest was the extent to which concurrent alexithymia contributed to any changes in emotion recognition accuracy. Twenty patients with SFD and 20 healthy, age, sex and education matched, controls were assessed with the Facially Expressed Emotion Labelling Test of FER and the 26-item Toronto Alexithymia Scale. Patients with SFD exhibited elevated alexithymia symptoms relative to healthy controls. Patients with SFD also recognized significantly fewer emotional expressions than did the healthy controls. However, the group difference in emotion recognition accuracy became nonsignificant once the influence of alexithymia was controlled for statistics. This suggests that the deficit in FER observed in the patients with SFD was most likely a consequence of concurrent alexithymia. It should be noted that neither depression nor anxiety was significantly related to emotion recognition accuracy, suggesting that these variables did not contribute the emotion recognition deficit. Impaired FER observed in the patients with SFD could plausibly have a negative influence on these individuals' social functioning.     

Neural correlates of facial affect processing in children and adolescents with autism spectrum disorder

OBJECTIVE: To examine the neural basis of impairments in interpreting facial emotions in children and adolescents with autism spectrum disorders (ASD). METHOD: Twelve children and adolescents with ASD and 12 typically developing (TD) controls matched faces by emotion and assigned a label to facial expressions while undergoing functional magnetic resonance imaging. RESULTS: Both groups engaged similar neural networks during facial emotion processing, including activity in the fusiform gyrus (FG) and prefrontal cortex. However, between-group analyses in regions of interest revealed that when matching facial expressions, the ASD group showed significantly less activity than the TD group in the FG, but reliably greater activity in the precuneus. During the labeling of facial emotions, no between-group differences were observed at the behavioral or neural level. Furthermore, activity in the amygdala was moderated by task demands in the TD group but not in the ASD group. CONCLUSIONS: These findings suggest that children and adolescents with ASD in part recruit different neural networks and rely on different strategies when processing facial emotions. High-functioning individuals with ASD may be relatively unimpaired in the cognitive assessment of basic emotions, yet still show differences in the automatic processing of facial expressions.     

Visual Afterimages of Emotional Faces in High Functioning Autism

Fixating an emotional facial expression can create afterimages, such that subsequent faces are seen as having the opposite expression of that fixated. Visual afterimages have been used to map the relationships among emotion categories, and this method was used here to compare ASD and matched control participants. Participants adapted to a facial expression for 45 s then saw a neutral face for 800 ms and chose a label to describe the latter. The ASD group showed evidence of afterimages, but atypical patterns of opposition: whereas fixating negative emotions uniformly evokes a positive afterimage in the control group, fixating negative emotions was more likely to evoke a negative afterimage in the ASD group. This study was the first to provide evidence of visual aftereffects in ASD and suggests a different psychological organization among emotions in those with ASD.     

Features of the broader autism phenotype in people with epilepsy support shared mechanisms between epilepsy and autism spectrum disorder

Richard, A.E., I.E. Scheffer and S.J. Wilson. Features of the broader autism phenotype in people with epilepsy support shared mechanisms between epilepsy and autism spectrum disorder. NEUROSCI BIOBEHAV REV 21(1) XXX–XXX, 2016. To inform on mechanisms underlying the comorbidity of epilepsy and autism spectrum disorder (ASD), we conducted meta-analyses to test whether impaired facial emotion recognition (FER) and theory of mind (ToM), key phenotypic traits of ASD, are more common in people with epilepsy (PWE) than controls. We contrasted these findings with those of relatives of individuals with ASD (ASD-relatives) compared to controls. Furthermore, we examined the relationship of demographic (age, IQ, sex) and epilepsy-related factors (epilepsy onset age, duration, seizure laterality and origin) to FER and ToM. Thirty-one eligible studies of PWE (including 1449 individuals: 77% with temporal lobe epilepsy), and 22 of ASD-relatives (N = 1295) were identified by a systematic database search. Analyses revealed reduced FER and ToM in PWE compared to controls (p < 0.001), but only reduced ToM in ASD-relatives (p < 0.001). ToM was poorer in PWE than ASD-relatives. Only weak associations were found between FER and ToM and epilepsy-related factors. These findings suggest shared mechanisms between epilepsy and ASD, independent of intellectual disability.     

Neural Correlates of Explicit Versus Implicit Facial Emotion Processing in ASD

The underlying neural mechanisms of implicit and explicit facial emotion recognition (FER) were studied in children and adolescents with autism spectrum disorder (ASD) compared to matched typically developing controls (TDC). EEG was obtained from N?=?21 ASD and N?=?16 TDC. Task performance, visual (P100, N170) and cognitive (late positive potential) event-related-potentials, as well as coherence were compared across groups. TDC showed a task-dependent increase and a stronger lateralization of P100 amplitude during the explicit task and task-dependent modulation of intra-hemispheric coherence in the beta band. In contrast, the ASD group showed no task dependent modulation. Results indicate disruptions in early visual processing and top-down attentional processes as contributing factors to FER deficits in ASD.     

Facial emotion recognition in adolescents with personality pathology

It has been argued that a heightened emotional sensitivity interferes with the cognitive processing of facial emotion recognition and may explain the intensified emotional reactions to external emotional stimuli of adults with personality pathology, such as borderline personality disorder (BPD). This study examines if and how deviations in facial emotion recognition also occur in adolescents with personality pathology. Forty-two adolescents with personality pathology, 111 healthy adolescents and 28 psychiatric adolescents without personality pathology completed the Emotion Recognition Task, measuring their accuracy and sensitivity in recognizing positive and negative emotion expressions presented in several, morphed, expression intensities. Adolescents with personality pathology showed an enhanced recognition accuracy of facial emotion expressions compared to healthy adolescents and clients with various Axis-I psychiatric diagnoses. They were also more sensitive to less intensive expressions of emotions than clients with various Axis-I psychiatric diagnoses, but not more than healthy adolescents. As has been shown in research on adults with BPD, adolescents with personality pathology show enhanced facial emotion recognition.     

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

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.     

Emotion recognition and social/role dysfunction in non-clinical psychosis

As researchers continue to understand non-clinical psychosis (NCP-brief psychotic-like experiences occurring in 5–7% of the general population; van Os et al., 2009), it is becoming evident that functioning deficits and facial emotion recognition (FER) impairment characterize this phenomenon. However, the extent to which these domains are related remains unclear. Social/role functioning and FER were assessed in 65 adolescents/young adults exhibiting low and high-NCP. Results indicate that FER and social/role functioning deficits were present in the High-NCP group, and that the domains were associated in this group alone. Taken together, findings suggest that a core emotive deficit is tied to broader social/role dysfunction in NCP.     

The relevance of social anxiety for understanding social functioning and facial emotion recognition in individuals at clinical high-risk for psychosis

Aim

Individuals at clinical high risk (CHR) for psychosis often experience poor social functioning and impaired facial emotion recognition (FER); however, the impact of frequently comorbid symptoms upon these processes is underexplored. In particular, social anxiety is characteristic of this population and also related to poor social functioning and FER biases, such as misinterpreting neutral faces as negative or threatening; however, little is known about how social anxiety relates to these processes in CHR individuals. The present study examined the overlap of social anxiety, social functioning, and FER accuracy and bias.

Method

Participants (CHR N = 62, healthy controls N = 52) completed the self-report Social Interaction Anxiety Scale (SIAS), Penn Emotion Recognition-40 (ER-40) behavioural task, and interviewer-rated Global Functioning Scale-Social (GFS-S). The ER-40 was used to assess both FER accuracy (e.g., overall number of correct responses) and bias (e.g., mislabelling neutral faces as angry).

Results

Consistent with previous research, relative to controls, CHR participants had more social anxiety (d = −1.07), poorer social functioning (d = −1.62), and performed more poorly on the FER task (e.g., d = −.37). Within CHR participants, social anxiety was related to an anger detection bias (r = .28), above and beyond positive symptom severity, which in turn was related to FER accuracy (r = .26) and social functioning (r = −.28).

Conclusion

These findings suggest that ongoing work examining social processes within CHR individuals needs to account for social anxiety and that social anxiety may be a useful preventive intervention target.     

Reading faces for information about words and emotions in adolescents with autism

Studies of explicit processing of facial expressions by individuals with autism spectrum disorder (ASD) have found a variety of deficits and preserved abilities compared to their typically developing (TD) peers. However, little attention has been paid to their implicit processing abilities for emotional facial expressions. The question has also been raised whether preferential attention to the mouth region of a speaker's face by ASD individuals has resulted in a relative lipreading expertise. We present data on implicit processing of pseudo-dynamic facial emotions and visual speech in adolescents with autism. We compared 25 ASD and 25 TD participants on their ability to recreate the sequences of four dynamic emotional facial expressions (happy, sad, disgust, and fear) as well as four spoken words (with, bath, thumb, and watch) using six still images taken from a video sequence. Typical adolescents were significantly better at recreating the dynamic properties of emotional expressions than those of facial speech, while the autism group showed the reverse accuracy pattern. For Experiment 2 we obscured the eye region of the stimuli and found no significant difference between the 22 adolescents with ASD and 22 TD controls. Fearful faces achieved the highest accuracy results among the emotions in both groups.     

Avatar Assistant: Improving Social Skills in Students with an ASD Through a Computer-Based Intervention

This study assessed the efficacy of FaceSay, a computer-based social skills training program for children with Autism Spectrum Disorders (ASD). This randomized controlled study (N = 49) indicates that providing children with low-functioning autism (LFA) and high functioning autism (HFA) opportunities to practice attending to eye gaze, discriminating facial expressions and recognizing faces and emotions in FaceSay’s structured environment with interactive, realistic avatar assistants improved their social skills abilities. The children with LFA demonstrated improvements in two areas of the intervention: emotion recognition and social interactions. The children with HFA demonstrated improvements in all three areas: facial recognition, emotion recognition, and social interactions. These findings, particularly the measured improvements to social interactions in a natural environment, are encouraging.     

Mechanisms of facial emotion recognition in autism spectrum disorders: Insights from eye tracking and electroencephalography

While behavioural difficulties in facial emotion recognition (FER) have been observed in individuals with Autism Spectrum Disorder (ASD), behavioural studies alone are not suited to elucidate the specific nature of FER challenges in ASD. Eye tracking (ET) and electroencephalography (EEG) provide insights in to the attentional and neurological correlates of performance, and may therefore provide insight in to the mechanisms underpinning FER in ASD. Given that these processes develop over the course of the developmental trajectory, there is a need to synthesise findings in regard to the developmental stages to determine how the maturation of these systems may impact FER in ASD. We conducted a systematic review of fifty-four studies investigating ET or EEG meeting inclusion criteria. Findings indicate divergence of visual processing pathways in individuals with ASD. Altered function of the social brain in ASD impacts the processing of facial emotion across the developmental trajectory, resulting in observable differences in ET and EEG outcomes.     

Emotion Recognition in Children and Adolescents with Autism Spectrum Disorders

We examined upper facial basic emotion recognition in 57 subjects with autism spectrum disorders (ASD) (M = 13.5 years) and 33 typically developing controls (M = 14.3 years) by using a standardized computer-aided measure (The Frankfurt Test and Training of Facial Affect Recognition, FEFA). The ASD group scored lower than controls on the total scores of FEFA and perceived ambiguous stimuli more often as a negative emotion. The older ASD group (≥12 years) performed better than the younger ASD group (<12 years) on the blended emotions of FEFA. The results support the findings that individuals with ASD have difficulties in emotion recognition. However, older subjects with ASD seem to have better skills than younger subjects with ASD.     

Emotional attribution in high-functioning individuals with autistic spectrum disorder: a functional imaging study

OBJECTIVE: To determine whether expertise in the attribution of emotion from basic facial expressions in high-functioning individuals with autistic spectrum disorder (ASD) is supported by the amygdala, fusiform, and prefrontal regions of interest (ROI) and is comparable to that of typically developing individuals. METHOD: Functional magnetic resonance imaging scans were acquired from 14 males with ASD and 10 matched adolescent controls while performing emotion match (EM) (perceptual), emotion label (EL) (linguistic), and control tasks. Accuracy, response time, and average activation were measured for each ROI. RESULTS: There was no significant difference in accuracy, response time, or ROI activation between groups performing the EL task. The ASD group was as accurate as the control group performing the EM task but had a significantly longer response time and lower average fusiform activation. CONCLUSIONS: Expertise in the attribution of emotion from basic facial expressions was task-dependent in the high-functioning ASD group. The hypothesis that the high-functioning ASD group would be less expert and would have reduced fusiform activation was supported in the perceptual task but not the linguistic task. The reduced fusiform activation in the perceptual task was not explained by reduced expertise; it is therefore concluded that reduced fusiform activation is associated with the diagnosis of ASD.