Emotion Recognition In Autism Spectrum Disorder Research Articles

Emotion Recognition in Children and Adolescents with ASD and ADHD: a Systematic Review

AbstractChildren and adolescents with autism spectrum disorder (ASD) and attention deficit and hyperactivity disorder (ADHD) show difficulties in recognizing emotions. Similarities and differences between these two clinical groups’ emotion recognition (ER) have been little explored. This systematic review aims to summarize the results of comparative studies that included samples of cases with ASD and ADHD. A systematic search was conducted following PRISMA guidelines, and 24 papers were included. Behavioral, brain-based, and eye-tracking studies were considered, paying particular attention to the different methods used and to the characteristics of the study groups, such as cognitive factors, age-related differences, and comorbidities. This review provides some insight on the complex process of ER in ASD and ADHD, highlighting important directions for future research.

A Computational Probe into the Behavioral and Neural Markers of Atypical Facial Emotion Processing in Autism.

Despite ample behavioral evidence of atypical facial emotion processing in individuals with autism spectrum disorder (ASD), the neural underpinnings of such behavioral heterogeneities remain unclear. Here, I have used brain-tissue mapped artificial neural network (ANN) models of primate vision to probe candidate neural and behavior markers of atypical facial emotion recognition in ASD at an image-by-image level. Interestingly, the image-level behavioral patterns of the ANNs better matched the neurotypical subjects 'behavior than those measured in ASD. This behavioral mismatch was most remarkable when the ANN behavior was decoded from units that correspond to the primate inferior temporal (IT) cortex. ANN-IT responses also explained a significant fraction of the image-level behavioral predictivity associated with neural activity in the human amygdala (from epileptic patients without ASD), strongly suggesting that the previously reported facial emotion intensity encodes in the human amygdala could be primarily driven by projections from the IT cortex. In sum, these results identify primate IT activity as a candidate neural marker and demonstrate how ANN models of vision can be used to generate neural circuit-level hypotheses and guide future human and nonhuman primate studies in autism.SIGNIFICANCE STATEMENT Moving beyond standard parametric approaches that predict behavior with high-level categorical descriptors of a stimulus (e.g., level of happiness/fear in a face image), in this study, I demonstrate how an image-level probe, using current deep-learning-based ANN models, allows identification of more diagnostic stimuli for autism spectrum disorder enabling the design of more powerful experiments. This study predicts that IT cortex activity is a key candidate neural marker of atypical facial emotion processing in people with ASD. Importantly, the results strongly suggest that ASD-related atypical facial emotion intensity encodes in the human amygdala could be primarily driven by projections from the IT cortex.

The structural neural correlates of atypical facial expression recognition in autism spectrum disorder.

Previous studies have demonstrated that individuals with autism spectrum disorder (ASD) are worse at recognizing facial expressions than are typically developing (TD) individuals. The present study investigated the differences in structural neural correlates of emotion recognition between individuals with and without ASD using voxel-based morphometry (VBM). We acquired structural MRI data from 27 high-functioning adults with ASD and 27 age- and sex-matched TD individuals. The ability to recognize facial expressions was measured using a label-matching paradigm featuring six basic emotions (anger, disgust, fear, happiness, sadness, and surprise). The behavioural task did not find deficits of emotion recognition in ASD after controlling for intellectual ability. However, the VBM analysis for the region of interest showed a positive correlation between the averaged percent accuracy across six basic emotions and the grey matter volume of the right inferior frontal gyrus in TD individuals, but not in individuals with ASD. The VBM for the whole brain region under each emotion condition revealed a positive correlation between the percent accuracy for disgusted faces and thegrey matter volume of the left dorsomedial prefrontal cortex in individuals with ASD, but not in TD individuals. The different pattern of correlations suggests that individuals with and without ASD use different processing mechanisms for recognizing others' facial expressions.

Neural network modeling of altered facial expression recognition in autism spectrum disorders based on predictive processing framework

The mechanism underlying the emergence of emotional categories from visual facial expression information during the developmental process is largely unknown. Therefore, this study proposes a system-level explanation for understanding the facial emotion recognition process and its alteration in autism spectrum disorder (ASD) from the perspective of predictive processing theory. Predictive processing for facial emotion recognition was implemented as a hierarchical recurrent neural network (RNN). The RNNs were trained to predict the dynamic changes of facial expression movies for six basic emotions without explicit emotion labels as a developmental learning process, and were evaluated by the performance of recognizing unseen facial expressions for the test phase. In addition, the causal relationship between the network characteristics assumed in ASD and ASD-like cognition was investigated. After the developmental learning process, emotional clusters emerged in the natural course of self-organization in higher-level neurons, even though emotional labels were not explicitly instructed. In addition, the network successfully recognized unseen test facial sequences by adjusting higher-level activity through the process of minimizing precision-weighted prediction error. In contrast, the network simulating altered intrinsic neural excitability demonstrated reduced generalization capability and impaired emotional clustering in higher-level neurons. Consistent with previous findings from human behavioral studies, an excessive precision estimation of noisy details underlies this ASD-like cognition. These results support the idea that impaired facial emotion recognition in ASD can be explained by altered predictive processing, and provide possible insight for investigating the neurophysiological basis of affective contact.

Executive function, motivation, and emotion recognition in high-functioning autism spectrum disorder

BackgroundSeveral neurocognitive theories have been put forward to explain autism spectrum disorder (ASD). However, the specificity of executive cognitive, motivational (i.e., reward-related), and emotion-recognition impairments in ASD, and the role of early language delay in these impairments remain largely unclear. AimThis study aimed to examine executive cognitive, motivational, and emotion-recognition functions while considering the potential effect of language delay in ASD. MethodsTwenty-two adolescents with high-functioning ASD (20 males) and 22 typically developing (TD) adolescents (16 males) aged 11–18 years were recruited. Each completed seven computerized tasks measuring executive cognitive (i.e., set-shifting, inhibition, updating, and access/generativity), motivational (i.e., flexible reinforcement learning and affective decision-making), and emotion-recognition functions (i.e., facial emotion recognition). ResultsWe found that ASD participants with early language delay (n = 10) had poorer executive cognitive, motivational, and emotion-recognition functioning than TD controls, and had poorer executive cognitive and motivational functioning than ASD participants without language delay (n = 12). ASD participants without language delay only had poorer emotion recognition than TD controls. Conclusion and implicationsThese preliminary findings suggest impairments in executive cognitive and motivational functions as well as emotion recognition in ASD with language delay, and impairment only in emotion recognition in ASD without language delay. They implicate a potential partial distinction in mental abilities between ASD with and without early language delay, highlighting the importance of considering language delay when evaluating executive cognitive and motivational functions in ASD.

Impaired Recognition of Negative Facial Expressions is Partly Related to Facial Perception Deficits in Adolescents with High-Functioning Autism Spectrum Disorder.

Accumulating studies have reported facial emotion recognition or facial perception impairments in autism spectrum disorder (ASD). To clarify the specificity of the emotion recognition impairment, this study examined the relationships between facial emotion recognition and facial perception abilities in ASD. Twenty-two adolescents with high-functioning ASD (20 males) and 22 typically developing (TD) adolescents (16 males) aged 11-18years undertook a facial emotion labeling task and a facial perception test. We found that adolescents with ASD had deficits in recognizing negative facial expressions, which correlated with both facial perception deficits and severity of social impairment. In addition, the emotion recognition deficits remained after adjusting for facial perception performance. Thus, our findings suggest an emotion-specific impairment in facial emotion recognition in ASD.

Emotion recognition in animated compared to human stimuli in adolescents with autism spectrum disorder.

There is equivocal evidence as to whether there is a deficit in recognising emotional expressions in Autism spectrum disorder (ASD). This study compared emotion recognition in ASD in three types of emotion expression media (still image, dynamic image, auditory) across human stimuli (e.g. photo of a human face) and animated stimuli (e.g. cartoon face). Participants were 37 adolescents (age 11-16) with a diagnosis of ASD (33 male, 4 female). 42 males and 39 females served as typically developing, age-matched controls. Overall there was significant advantage for control groups over the ASD group for emotion recognition in human stimuli but not animated stimuli, across modalities. For static animated images specifically, those with ASD significantly outperformed controls. The findings are consistent with the ASD group using atypical explicit strategies.

Facial emotion recognition in 4- to 8-year-olds with autism spectrum disorder: A developmental trajectory approach

The investigation of emotion recognition in autism spectrum disorder (ASD) has both theoretical and practical implications. However, although many studies have examined facial emotion recognition in ASD, some points remain unclear. We therefore studied facial emotion recognition in young children with ASD across a small age range, in order to determine (1) their ability to recognize emotion and (2) the developmental trajectory of this ability. Twenty-two children with ASD aged 4–8 years were compared with typically developing children matched on either chronological age or verbal mental age. We administered three facial emotion tasks: matching, identification, and labeling. Results showed that children with ASD and typically developing children had difficulty with labeling emotions, but not with matching or identifying them. Happiness was the easiest to recognize, and surprise the hardest. The children with ASD did not exhibit delayed onset in the development of facial emotion recognition. To conclude, emotion recognition difficulties in children with ASD primarily concern the recognition of negative emotions and the identification of surprise, as they do in TD groups. This should be taken into account in future research, as well as in the design of future intervention programs.

Underconnectivity of the superior temporal sulcus predicts emotion recognition deficits in autism

Neurodevelopmental disconnections have been assumed to cause behavioral alterations in autism spectrum disorders (ASDs). Here, we combined measurements of intrinsic functional connectivity (iFC) from resting-state functional magnetic resonance imaging (fMRI) with task-based fMRI to explore whether altered activity and/or iFC of the right posterior superior temporal sulcus (pSTS) mediates deficits in emotion recognition in ASD. Fifteen adults with ASD and 15 matched-controls underwent resting-state and task-based fMRI, during which participants discriminated emotional states from point light displays (PLDs). Intrinsic FC of the right pSTS was further examined using 584 (278 ASD/306 controls) resting-state data of the Autism Brain Imaging Data Exchange (ABIDE). Participants with ASD were less accurate than controls in recognizing emotional states from PLDs. Analyses revealed pronounced ASD-related reductions both in task-based activity and resting-state iFC of the right pSTS with fronto-parietal areas typically encompassing the action observation network (AON). Notably, pSTS-hypo-activity was related to pSTS-hypo-connectivity, and both measures were predictive of emotion recognition performance with each measure explaining a unique part of the variance. Analyses with the large independent ABIDE dataset replicated reductions in pSTS-iFC to fronto-parietal regions. These findings provide novel evidence that pSTS hypo-activity and hypo-connectivity with the fronto-parietal AON are linked to the social deficits characteristic of ASD.