A selective impairment in extracting fearful information from another's eyes in Autism

Promoting gaze toward the eyes of emotional faces in individuals with high autistic traits using group cognitive behavioral therapy: An eye-tracking study

BACKGROUND

Individuals with subclinical autistic traits exhibit a pattern of eye avoidance similar to that of typical autism. Our study aimed to test the efficacy of group cognitive behavioral therapy (G-CBT) in promoting gaze toward the eye area of facial expressions, specifically orienting to emotional faces, in individuals with high autistic traits (high AT).

METHODS

Twenty-six high AT individuals and 30 low AT individuals participated. High AT individuals were assigned to eight sessions of G-CBT intervention. Eye-tracking measurements were acquired before and after treatment.

RESULTS

We observed the following: (a) the eye avoidance in high AT individuals was prominent for all facial expressions in relative to low AT individuals; (b) G-CBT primarily improved gaze toward the eyes of happy and fearful faces but not for neutral face expressions in high AT individuals; (c) after 8 sessions of G-CBT, the fixation time on the eyes of emotional faces improved significantly. For happy faces, the fixation time on the eyes of faces was markedly increased in epochs between 500 ms and 1000 ms after the face onset; for fearful faces, the improvement in participants existed between about 1000 ms and 1500 ms after the face appeared.

LIMITATION

Our results may not be generalized to other patients with ASD.

CONCLUSIONS

Our findings demonstrate that G-CBT significantly promotes gaze toward the eyes of emotional faces in high AT individuals. These results are encouraging, and suggest that the emotional face processing in autism spectrum disorder (ASD) might stand to benefit from similar psychotherapeutic treatment.

Multimodal Evidence of Atypical Processing of Eye Gaze and Facial Emotion in Children With Autistic Traits

According to the shared signal hypothesis (SSH) the impact of facial expressions on emotion processing partially depends on whether the gaze is directed toward or away from the observer. In autism spectrum disorder (ASD) several aspects of face processing have been found to be atypical, including attention to eye gaze and the identification of emotional expressions. However, there is little research on how gaze direction affects emotional expression processing in typically developing (TD) individuals and in those with ASD. This question is investigated here in two multimodal experiments. Experiment 1 required processing eye gaze direction while faces differed in emotional expression. Forty-seven children (aged 9-12 years) participated. Their Autism Diagnostic Observation Schedule (ADOS) scores ranged from 0 to 6 in the experiment. Event-related potentials (ERPs) were sensitive to gaze direction and emotion, but emotion processing did not depend on gaze direction. However, for angry faces the gaze direction effect on the N170 amplitude, as typically observed in TD individuals, diminished with increasing ADOS score. For neutral expressions this correlation was not significant. Experiment 2 required explicit emotion classifications in a facial emotion composite task while eye gaze was manipulated incidentally. A group of 22 children with ASD was compared to a propensity score-matched group of TD children (mean age = 13 years). The same comparison was carried out for a subgroup of nine children with ASD who were less trained in social cognition, according to clinician's report. The ASD group performed overall worse in emotion recognition than the TD group, independently of emotion or gaze direction. However, for disgust expressions, eye tracking data revealed that TD children fixated relatively longer on the eyes of the stimulus face with a direct gaze as compared with averted gaze. In children with ASD we observed no such modulation of fixation behavior as a function of gaze direction. Overall, the present findings from ERPs and eye tracking confirm the hypothesis of an impaired sensitivity to gaze direction in children with ASD or elevated autistic traits, at least for specific emotions. Therefore, we conclude that multimodal investigations of the interaction between emotional processing and stimulus gaze direction are promising to understand the characteristics of individuals differing along the autism trait dimension.

Autistic traits influence the strategic diversity of information sampling: Insights from two-stage decision models

Information sampling can reduce uncertainty in future decisions but is often costly. To maximize reward, people need to balance sampling cost and information gain. Here we aimed to understand how autistic traits influence the optimality of information sampling and to identify the particularly affected cognitive processes. Healthy human adults with different levels of autistic traits performed a probabilistic inference task, where they could sequentially sample information to increase their likelihood of correct inference and may choose to stop at any moment. We manipulated the cost and evidence associated with each sample and compared participants’ performance to strategies that maximize expected gain. We found that participants were overall close to optimal but also showed autistic-trait-related differences. Participants with higher autistic traits had a higher efficiency of winning rewards when the sampling cost was zero but a lower efficiency when the cost was high and the evidence was more ambiguous. Computational modeling of participants’ sampling choices and decision times revealed a two-stage decision process, with the second stage being an optional second thought. Participants may consider cost in the first stage and evidence in the second stage, or in the reverse order. The probability of choosing to stop sampling at a specific stage increases with increasing cost or increasing evidence. Surprisingly, autistic traits did not influence the decision in either stage. However, participants with higher autistic traits inclined to consider cost first, while those with lower autistic traits considered cost or evidence first in a more balanced way. This would lead to the observed autistic-trait-related advantages or disadvantages in sampling optimality, depending on whether the optimal sampling strategy is determined only by cost or jointly by cost and evidence.

Children with autism can spend hours practicing lining up toys or learning all about cars or lighthouses. This kind of behaviors, we think, may reflect suboptimal information sampling strategies, that is, a failure to balance the gain of information with the cost (time, energy, or money) of information sampling. We hypothesized that suboptimal information sampling is a general characteristic of people with autism or high level of autistic traits. In our experiment, we tested how participants may adjust their sampling strategies with the change of sampling cost and information gain in the environment. Though all participants were healthy young adults who had similar IQs, higher autistic traits were associated with higher or lower efficiency of winning rewards under different conditions. Counterintuitively, participants with different levels of autistic traits did not differ in the general tendency of oversampling or undersampling, or in the decision they would reach when a specific set of sampling cost or information gain was considered. Instead, participants with higher autistic traits consistently considered sampling cost first and only weighed information gain during a second thought, while those with lower autistic traits had more diverse sampling strategies that consequently better balanced sampling cost and information gain.

Selective Impairment of Basic Emotion Recognition in People with Autism: Discrimination Thresholds for Recognition of Facial Expressions of Varying Intensities

Autism spectrum disorders (ASD) are characterized by early onset qualitative impairments in reciprocal social development. However, whether individuals with ASD exhibit impaired recognition of facial expressions corresponding to basic emotions is debatable. To investigate subtle deficits in facial emotion recognition, we asked 14 children diagnosed with high-functioning autism (HFA)/AS and 17 typically developing peers to complete a new highly sensitive test of facial emotion recognition. The test stimuli comprised faces expressing increasing degrees of emotional intensity that slowly changed from a neutral to a full-intensity happiness, sadness, surprise, anger, disgust, or fear expression. We assessed individual differences in the intensity of stimuli required to make accurate judgments about emotional expressions. We found that, different emotions had different identification thresholds and the two groups were generally similar in terms of the sequence of discrimination threshold of six basic expressions. It was easier for individuals in both groups to identify emotions that were relatively fully expressed (e.g., intensity > 50%). Compared with control participants, children with ASD generally required stimuli with significantly greater intensity for the correct identification of anger, disgust, and fear expressions. These results suggest that individuals with ASD do not have a general but rather a selective impairment in basic emotion recognition.

Emotional face recognition in individuals withattention-deficit/hyperactivity disorder: a review article

This review focuses on facial emotion recognition (FER) in individuals with attention- deficit/hyperactivity disorder (ADHD). Behavioral studies of FER in ADHD have resulted in inconsistent findings. Here, we discuss the factors that vary across studies and the way that they influence FER processes in ADHD. Across reviewed studies, fear was the most deficient facial expression to be recognized. Our review suggested that FER deficit in ADHD does not alleviate across development and is partially distinct from ADHD symptoms. In conclusion, assessment of FER in ADHD and targeting that in interventional plans could lead to social skills improvement in ADHD.