Detecting subtle facial emotion recognition deficits in high-functioning Autism using dynamic stimuli of varying intensities

Autism Spectrum Disorders (ASD) are characterised by social and communication impairment, yet evidence for deficits in the ability to recognise facial expressions of basic emotions is conflicting. Many studies reporting no deficits have used stimuli that may be too simple (with associated ceiling effects), for example, 100% ‘full-blown’ expressions. In order to investigate subtle deficits in facial emotion recognition, 21 adolescent males with high-functioning Austism Spectrum Disorders (ASD) and 16 age and IQ matched typically developing control males completed a new sensitive test of facial emotion recognition which uses dynamic stimuli of varying intensities of expressions of the six basic emotions (Emotion Recognition Test; Montagne et al., 2007). Participants with ASD were found to be less accurate at processing the basic emotional expressions of disgust, anger and surprise; disgust recognition was most impaired - at 100% intensity and lower levels, whereas recognition of surprise and anger were intact at 100% but impaired at lower levels of intensity.     

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.     

Effects of diazepam on facial emotion recognition

OBJECTIVE: There have been few studies of the pharmacologic modulation of facial emotion recognition. The present study aimed to replicate and extend the finding that recognition of facial anger was selectively impaired by diazepam. The hypothesis was that, in comparison with placebo, diazepam would impair the recognition of facial anger in healthy volunteers, but not the recognition of 5 other basic emotions: happiness, surprise, fear, sadness and disgust. DESIGN: A randomized, counterbalanced, double-blind, placebo-controlled, within-subjects comparison of diazepam with placebo. SETTING: A university psychopharmacology research unit. PARTICIPANTS: Healthy male (n = 6) and female (n = 22) volunteers, aged 18-45 years. PROCEDURES: Subjects were tested on 2 tasks following the administration of diazepam, 15 mg, and placebo on separate occasions. In the first "multimorph" task, images of facial expressions were morphed to produce continua between the neutral and full expressions of 6 basic emotions. Accuracy and identification thresholds were assessed for stimuli in which the intensity of expression gradually increased. In the second "emotional hexagon" task, facial expressions were morphed between pairs of emotions. Single images were presented, and accuracy and speed of response were assessed. RESULTS: Diazepam produced broad impairments in response accuracy, recognition thresholds and response speed on the facial emotion tasks that were not limited to angry expressions. CONCLUSIONS: The present study found that diazepam, 15 mg, impaired facial emotion recognition, but not selectively. In the emotional hexagon task, a reaction-time analysis suggested that the identification of facial anger might be differentially sensitive to variations in stimulus duration, complicating the interpretation of this paradigm.     

Recognition of facial expressions of emotion by persons with mental retardation. A matched comparison study.

Children and adults with mental retardation were tested on their ability to recognize facial expressions of emotion. The sample consisted of 80 children and adults with mental retardation and a control group of 80 nonhandicapped children matched on mental age and gender. Ekman and Friesen's normed photographs of the six basic emotions (anger, disgust, fear, happiness, sadness, and surprise) were used in a recognition task of facial expressions. Subjects were individually read two-sentence stories identifying a specific emotion, presented with a randomized array of the six photographs of the basic facial expressions of emotion, and then asked to select the photograph that depicted the emotion identified in the story. This procedure was repeated with 24 different stories, with each of the six basic emotions being represented four times. Results showed that, as a group, individuals with mental retardation were not as proficient as their mental-age-matched nonhandicapped control subjects at recognizing facial expressions of emotion. Although adults with mild mental retardation were more proficient at this task than those with moderate mental retardation, this finding was not true for children. There was a modest difference between the children with moderate mental retardation and their nonhandicapped matched controls in their ability to recognize facial expression of disgust.     

Emotion Recognition in Children with Autism Spectrum Disorders: Relations to Eye Gaze and Autonomic State

Respiratory Sinus Arrhythmia (RSA), heart rate, and accuracy and latency of emotion recognition were evaluated in children with autism spectrum disorders (ASD) and typically developing children while viewing videos of faces slowly transitioning from a neutral expression to one of six basic emotions (e.g., anger, disgust, fear, happiness, sadness, and surprise). Children with ASD were slower in emotion recognition and selectively made more errors in detecting anger. ASD children had lower amplitude RSA and faster heart rate. Within the ASD group, children with higher amplitude RSA recognized emotions faster. Less severe ASD symptoms and increased gaze to the eye region in children with ASD were related to more accurate emotion recognition.     

Perception of emotional facial expressions at different intensities in early-symptomatic Huntington's disease

BACKGROUND: While there is abundant evidence that patients with Huntington's disease (HD) have an impairment in the recognition of the emotional facial expression of disgust, previous studies have only examined emotion perception using full-blown facial expressions. OBJECTIVE: The current study examines the perception of facial emotional expressions in HD at different levels of intensity to investigate whether more subtle deficits can be detected, possible also in other emotions. METHOD: We compared early symptomatic HD patients with healthy matched controls on emotion perception, presenting short video clips of a neutral face changing into one of the six basic emotions (happiness, anger, fear, surprise, disgust and sadness) with increasing intensity. Overall face perception ability as well as depressive symptoms were taken into account. RESULTS: A specific impairment in recognizing the emotions disgust and anger was found, which was present even at low emotion intensities. CONCLUSION: These results extend previous findings and support the use of more sensitive emotion perception paradigms, which enable the detection of subtle neurobehavioral deficits even in the pre- and early symptomatic stages of the disease.     

Recognition of emotion from moving facial and prosodic stimuli in depressed patients

BACKGROUND: It has been suggested that depressed patients have a "negative bias" in recognising other people's emotions; however, the detailed structure of this negative bias is not fully understood. OBJECTIVES: To examine the ability of depressed patients to recognise emotion, using moving facial and prosodic expressions of emotion. METHODS: 16 depressed patients and 20 matched (non-depressed) controls selected one basic emotion (happiness, sadness, anger, fear, surprise, or disgust) that best described the emotional state represented by moving face and prosody. RESULTS: There was no significant difference between depressed patients and controls in their recognition of facial expressions of emotion. However, the depressed patients were impaired relative to controls in their recognition of surprise from prosodic emotions, judging it to be more negative. CONCLUSIONS: We suggest that depressed patients tend to interpret neutral emotions, such as surprise, as negative. Considering that the deficit was seen only for prosodic emotive stimuli, it would appear that stimulus clarity influences the recognition of emotion. These findings provide valuable information on how depressed patients behave in complicated emotional and social situations.     

Rôle de la flexibilité cognitive dans la reconnaissance d’expressions émotionnelles chez les personnes atteintes de Troubles du Spectre Autistique

The present research tested whether young children with Autism Spectrum Disorders (ASDs) shows impaired recognition of basic-emotion expressions (anger, fear, happiness, sadness, disgust) and the same emotions embedded in a social background (i.e. simple versus complex facial emotion recognition), compared with typically developing (TD) children. Moreover, we investigated whether cognitive flexibility could be linked with these faces processing skills. Our results showed that performance in ASD children was similar to the group of TD children for simple emotion recognition whereas TD children outperformed ASDs children in the complex task. In the second part, our study tends to confirm a link between cognitive flexibility and faces processing skills in children with ASD, especially when different contextual cues are present to extract facial emotion. We confirm previous findings demonstrating that individuals with ASDs use an effortful “systematizing” process to recognize emotion expressions, whereas TD individuals use a more holistic process. These results are discussed within the context of current neuropsychological studies on “weak central coherence”, hyper-systemizing theory, and lack of cognitive flexibility in 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.     

Social anxiety is associated with general but not specific biases in emotion recognition

Misreading facial expressions as signals of social disapproval, such as anger and disgust, may maintain social anxiety. If so, manipulating face processing could be therapeutic. It remains unclear, however, whether socially anxious individuals are in fact more sensitive to disapproving emotions. We assessed decoding of, and cost attributions to, emotional expressions in high and low socially anxious females (n=102) using five emotions (anger, disgust, fear, happiness, and sadness) expressed at 15 intensities (9–65%), providing 75 stimuli (see Supplementary Material). The decoding task briefly presented the stimuli and participants identified the emotion. The cost attribution task asked individuals to rate each stimulus for how costly it would be for them to interact with the person. Random effects regression indicated that social anxiety was not associated with overall decoding accuracy but was associated with a response bias. High socially anxious individuals had a lower threshold for decoding emotions but also more frequently classified low intensity emotions incorrectly. These effects were not emotion-specific. Socially anxious individuals also attributed excessive social cost to expressions of negative valence. Our results provide a novel conceptual framework for understanding emotion decoding in social anxiety, indicating the importance of considering both accuracy and response bias.     

Alexithymia,Verbal Ability and Emotion Recognition

Although previous studies seem to indicate that alexithymic individuals have a deficit in their ability to recognize emotional stimuli, none had studied the relationship between alexithymia and verbal and non verbal abilities and their possible role in emotion recognition. The aim of the present study is to further investigate the relationship between alexithymia and emotion recognition ability. In particular we studied whether this relationship is mediated by verbal ability. Thirty-five students were selected from a group of 91 University students previously screened for alexithymia (Toronto Alexithymia Scale; TAS-20). Participants were shown black and white slides depicting facial expression of the following emotions: anger, sadness, disgust, surprise, happiness and fear. Compared to low alexithymic participants, and, more importantly, taking verbal IQ into account, high alexithymic and low alexithymic participants did not differ in emotion recognition.     

Lateralisation effect in comprehension of emotional facial expression: A comparison between EEG alpha band power and behavioural inhibition (BIS) and activation (BAS) systems

Asymmetry in comprehension of facial expression of emotions was explored in the present study by analysing alpha band variation within the right and left cortical sides. Second, the behavioural activation system (BAS) and behavioural inhibition system (BIS) were considered as an explicative factor to verify the effect of a motivational/emotional variable on alpha activity. A total of 19 participants looked at an ample range of facial expressions of emotions (anger, fear, surprise, disgust, happiness, sadness, and neutral) in random order. The results demonstrated that anterior frontal sites were more active than central and parietal sites in response to facial stimuli. Moreover, right and left side responses varied as a function of emotional types, with an increased right frontal activity for negative, aversive emotions vs an increased left response for positive emotion. Finally, whereas higher BIS participants generated more right hemisphere activation for some negative emotions (such as fear, anger, surprise, and disgust), BAS participants were more responsive to positive emotion (happiness) within the left hemisphere. Motivational significance of facial expressions was considered to elucidate cortical differences in participants' responses to emotional types.     

The Change in Facial Emotion Recognition Ability in Inpatients with Treatment Resistant Schizophrenia After Electroconvulsive Therapy

People with schizophrenia have impairments in emotion recognition along with other social cognitive deficits. In the current study, we aimed to investigate the immediate benefits of ECT on facial emotion recognition ability. Thirty-two treatment resistant patients with schizophrenia who have been indicated for ECT enrolled in the study. Facial emotion stimuli were a set of 56 photographs that depicted seven basic emotions: sadness, anger, happiness, disgust, surprise, fear, and neutral faces. The average age of the participants was 33.4 ± 10.5 years. The rate of recognizing the disgusted facial expression increased significantly after ECT (p < 0.05) and no significant changes were found in the rest of the facial expressions (p > 0.05). After the ECT, the time period of responding to the fear and happy facial expressions were significantly shorter (p < 0.05). Facial emotion recognition ability is an important social cognitive skill for social harmony, proper relation and living independently. At least, the ECT sessions do not seem to affect facial emotion recognition ability negatively and seem to improve identifying disgusted facial emotion which is related with dopamine enriched regions in brain.     

Impaired facial expression recognition in children with temporal lobe epilepsy: impact of early seizure onset on fear recognition

The amygdala has been implicated in the recognition of facial emotions, especially fearful expressions, in adults with early-onset right temporal lobe epilepsy (TLE). The present study investigates the recognition of facial emotions in children and adolescents, 8–16 years old, with epilepsy. Twenty-nine subjects had TLE (13 right, 16 left) and eight had fronto-central epilepsy (FCE). Each was matched on age and gender with a control subject. Subjects were asked to label the emotions expressed in pictures of children's faces miming five basic emotions (happiness, sadness, fear, disgust and anger) or neutrality (no emotion). All groups of children with epilepsy performed less well than controls. Patterns of impairment differed according to the topography of the epilepsy: the left-TLE (LTLE) group was impaired in recognizing fear and neutrality, the right-TLE (RTLE) group was impaired in recognizing disgust and, the FCE group was impaired in recognizing happiness. We clearly demonstrated that early seizure onset is associated with poor recognition of facial expression of emotion in TLE group, particularly for fear. Although right-TLE and left-TLE subjects were both impaired in the recognition of facial emotion, their psychosocial adjustment, as measured by the CBCL questionnaire [Achenbach, T. M. (1991). Manual for the Child Behavior Checklist and Youth Self-report. Burlington, VT: University of Vermont Department of Psychiatry], showed that poor recognition of fearful expressions was related to behavioral disorders only in children with right-TLE. Our study demonstrates for the first time that early-onset TLE can compromise the development of recognizing facial expressions of emotion in children and adolescents and suggests a link between impaired fear recognition and behavioral disorders.     

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.     

Facial emotion recognition in trait anxiety

The study investigated the relationship between recognition of emotional facial expressions and trait anxiety. A nonclinical sample of 19 participants with high-trait anxiety was selected, using the trait version of the State-Trait Anxiety Inventory, and compared with a sample of 20 participants with low-trait anxiety on a facial expression recognition task. Visual stimuli were 42 faces, representing seven emotional expressions: anger, sadness, happiness, fear, surprise, disgust and neutral. Participants had to identify the emotion portrayed by each face. Results showed that participants with high-trait anxiety recognized fear faces significantly better while the two groups did not differ in recognition of other facial expressions.     

Emotion recognition and experience in Huntington's disease: is there a differential impairment?

Findings on affective processing deficits in Huntington's disease (HD) have been inconsistent. It is still not clear whether HD patients are afflicted by specific deficits in emotion recognition and experience. We tested 28 symptomatic HD patients and presented them with pictures depicting facial expressions of emotions (Karolinska-Set) and with affective scenes (International Affective Picture System; IAPS). The faces were judged according to the displayed intensity of six basic emotions, whereas the scenes received intensity ratings for the elicited emotions in the viewer. Patients' responses were compared with those of 28 healthy controls. HD patients gave lower intensity ratings for facial expressions of anger, disgust and surprise than controls. Patients' recognition deficits were associated with reduced functional capacity, such as problems with social interactions. Moreover, their classification accuracy was reduced for angry, disgusted, sad and surprised faces. When judging affective scenes for the elicitation of happiness, disgust and fear, HD patients had a tendency to estimate them as more intense than controls. This finding points to a differential impairment in emotion recognition and emotion experience in HD. We found no significant correlations between emotion experience/recognition ratings and CAG repeats, symptom duration and UHDRS Motor Assessment in the patient group.     

Mixed emotions: alcoholics' impairments in the recognition of specific emotional facial expressions

Facial expression recognition is a central feature of emotional and social behaviour and previous studies have found that alcoholics are impaired in this skill when presented with single emotions of differing intensities. The aim of this study was to explore biases in alcoholics' recognition of emotions when they were a mixture of two closely related emotions. The amygdala is intimately involved in encoding of emotions, especially those related to fear. In animals an increased number of withdrawals from alcohol leads to increased seizure sensitivity associated with facilitated transmission in the amygdala and related circuits. A further objective therefore was to explore the effect of previous alcohol detoxifications on the recognition of emotional facial expressions. Fourteen alcoholic inpatients were compared with 14 age and sex matched social drinking controls. They were asked to rate how much of each of six emotions (happiness, surprise, fear, sadness, disgust and anger) were present in morphed pictures portraying a mix of two of those emotions. The alcoholic group showed enhanced fear responses to all of the pictures compared to the controls and showed a different pattern of responding on anger and disgust. There were no differences between groups on decoding of sad, happy and surprised expressions. In addition the enhanced fear recognition found in the alcoholic group was related to the number of previous detoxifications. These results provide further evidence for impairment in facial expression recognition present in alcoholic patients. In addition, since the amygdala has been associated with the processing of facial expressions of emotion, particularly those of fear, the present data furthermore suggest that previous detoxifications may be related to changes within the amygdala.     

Impaired recognition of facial emotions from low-spatial frequencies in Asperger syndrome

The theory of 'weak central coherence' [Happe, F., & Frith, U. (2006). The weak coherence account: Detail-focused cognitive style in autism spectrum disorders. Journal of Autism and Developmental Disorders, 36(1), 5-25] implies that persons with autism spectrum disorders (ASDs) have a perceptual bias for local but not for global stimulus features. The recognition of emotional facial expressions representing various different levels of detail has not been studied previously in ASDs. We analyzed the recognition of four basic emotional facial expressions (anger, disgust, fear and happiness) from low-spatial frequencies (overall global shapes without local features) in adults with an ASD. A group of 20 participants with Asperger syndrome (AS) was compared to a group of non-autistic age- and sex-matched controls. Emotion recognition was tested from static and dynamic facial expressions whose spatial frequency contents had been manipulated by low-pass filtering at two levels. The two groups recognized emotions similarly from non-filtered faces and from dynamic vs. static facial expressions. In contrast, the participants with AS were less accurate than controls in recognizing facial emotions from very low-spatial frequencies. The results suggest intact recognition of basic facial emotions and dynamic facial information, but impaired visual processing of global features in ASDs.