Emotion Recognition Difficulties Research Articles

Facial emotion recognition and social-emotional problems in middle childhood: Assessment of directional effects

Research has consistently shown that difficulties in facial emotion recognition (FER) are associated with peer problems and internalizing symptoms during middle childhood. However, no longitudinal research has investigated the direction of effects, that is, how these constructs influence each other across time. In this preregistered three-wave panel study, we tested the directional effects between FER, peer problems, and internalizing symptoms among Finnish school-aged children (n = 3,607; Mage = 8.20, SDage = 0.86; 51% female). The results of random-intercept cross-lagged panel models showed that a low FER accuracy and high biases toward happiness and sadness correlated with higher levels of peer problems and internalizing symptoms at the between-person level. However, we found no evidence of directional effects at the within-person level. Overall, our findings suggest that these constructs might be associated because of shared underlying causes, rather than mutually influencing one another in middle childhood.

No association between alexithymia and emotion recognition or theory of mind in a sample of adolescents enhanced for autistic traits.

Alexithymia is a sub-clinical condition characterised by difficulties identifying and describing one's own emotions, which is found in many, but not all autistic people. The alexithymia hypothesis suggests that certain aspects of socio-cognitive functioning typically attributed to autism, namely difficulties in emotion recognition, might be better explained by often co-occurring alexithymia. It is important to understand what is specific to autism and what is due to other co-occurring characteristics to develop appropriate support for autistic people. However, most research on this topic has been conducted in adults, which limits our knowledge about the relevance of this theory to younger autistic populations. This study tested whether difficulties in emotion recognition and theory of mind traditionally associated with autism might be better explained by alexithymia in a sample of adolescents with and without a diagnosis of autism. Results found that difficulties in emotion recognition and theory of mind were both associated with autistic traits, and this was not accounted for by individual differences in levels of alexithymia. This research suggests that more work is needed to understand the applicability of the alexithymia hypothesis in younger populations, but that at least in adolescents and when using parent-report measures, alexithymia may not account for emotion recognition or theory of mind difficulties associated with autistic traits.

Differential deficits in social versus monetary reinforcement learning in schizophrenia: Associations with facial emotion recognition.

Despite evidence that individuals with schizophrenia (SZ) have an intact desire for social relationships, they have small social networks and report high levels of loneliness. Difficulty with reinforcement learning (RL), the ability to update behavior based on feedback, may inhibit the formation and maintenance of social relationships in SZ. However, impaired RL in SZ has largely been demonstrated via monetary tasks. Thus, it remains unclear whether SZ are similarly impaired in social and monetary RL, or whether social-specific factors may further inhibit their ability to learn from social feedback. Thirty-one individuals with SZ and 31 healthy controls (HCs) participated in a RL paradigm to test hypotheses about social versus monetary RL. SZ exhibited impaired RL compared to HCs in both social and monetary tasks. Further, a Group × Task interaction demonstrated that SZ was more impaired when learning from social than monetary reinforcement, F(1, 59) = 5.99, p = .017. This differential deficit to social RL was not accounted for by reported pleasure from social feedback, which did not differ between groups. Instead, SZ had poorer emotion recognition than HCs, t(1, 60) = 4.80, p < .001, particularly for negative emotions, and controlling for this eliminated the differential social RL impairment. These results suggest the possibility that difficulty recognizing social cues, especially those indicating negative feedback, may relate to a reduced ability to learn from others' feedback. Thus, future research could elucidate whether targeting these emotion recognition difficulties in treatment could serve as a potential mechanism for improving social functioning in SZ. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The inside out model of emotion recognition: how the shape of one’s internal emotional landscape influences the recognition of others’ emotions

Some people are exceptional at reading emotional expressions, while others struggle. Here we ask whether the way we experience emotion “on the inside” influences the way we expect emotions to be expressed in the “outside world” and subsequently our ability to read others’ emotional expressions. Across multiple experiments, incorporating discovery and replication samples, we develop EmoMap (N = 20; N = 271) and ExpressionMap (N = 98; replication N = 193) to map adults’ experiences of emotions and visual representations of others’ emotions. Some individuals have modular maps, wherein emotional experiences and visual representations are consistent and distinct—anger looks and feels different from happiness, which looks and feels different from sadness. In contrast, others have experiences and representations that are variable and overlapping—anger, happiness, and sadness look and feel similar and are easily confused for one another. Here we illustrate an association between these maps: those with consistent and distinct experiences of emotion also have consistent and distinct visual representations of emotion. Finally (N = 193), we construct the Inside Out Model of Emotion Recognition, which explains 60.8% of the variance in emotion recognition and illuminates multiple pathways to emotion recognition difficulties. These findings have important implications for understanding the emotion recognition difficulties documented in numerous clinical populations.

Facial emotion recognition based on improved ResNet

A common and difficult task in computer vision is the identification of facial expressions of emotion. Facial emotion recognition has shown great promise in many areas including healthcare, robotic communication and customer service. However, the variability of human appearance and muscle movement leads to difficulties in facial emotion recognition. Therefore, deeper convolutional neural networks are introduced to recognize facial emotions. The residual network (ResNet) can be built in a deep architecture that can solve the degradation problem when the depth of the network increases. In this paper, an improved ResNet50 is proposed to implement facial emotion recognition. Specifically, the proposed model appends two blocks consisting of fully connected layers to the ResnNet50. The layers are stacked with shortcut connections to solve the degradation problem and to make the training process smoother. The accuracy achieved by the improved model on the Facial Emotion Recognition 2013 dataset (FER-2013) is 13.31% higher than that of the ResNet50. Experimental data indicate that the improved model performs efficiently in facial emotion recognition due to shortcut connectivity and the addition of fully connected layers. Meanwhile, the degradation and gradient disappearance problems are improved.

The Role of Auditory and Visual Cues in the Perception of Mandarin Emotional Speech in Male Drug Addicts

Evidence from previous neurological studies has revealed that drugs can cause severe damage to the human brain structure, leading to significant cognitive disorders in emotion processing, such as psychotic-like symptoms (e.g., speech illusion: reporting positive/negative responses when hearing white noise) and negative reinforcement. Due to these emotion processing disorders, drug addicts may experience difficulties in emotion recognition and speech illusion, which are essential for interpersonal communication and a healthy life experience. However, previous research has yielded divergent results regarding whether drug addicts are more attracted to negative stimuli or positive stimuli. Additionally, little attention has been paid to the speech illusion experienced by drug addicts. Therefore, the current study aimed to investigate the effect of drugs on patterns of emotion recognition through two basic channels: auditory (speech) and visual (facial expression), as well as the speech illusions of drug addicts. The current study conducted a perceptual experiment in which 52 stimuli of four emotions (happy, angry, sad, and neutral) in three modalities (auditory, visual, auditory + visual [congruent & incongruent]) were presented to address Question 1 regarding the multi-modal emotional speech perception of drug addicts. Additionally, 26 stimuli of white noise and speech of three emotions in two noise conditions were presented to investigate Question 2 concerning the speech illusion of drug addicts. A total of thirty-five male drug addicts (25 heroin addicts and 10 ketamine addicts) and thirty-five male healthy controls were recruited for the perception experiment. The results, with heroin and ketamine addicts as examples, revealed that drug addicts exhibited lower accuracies in multi-modal emotional speech perception and relied more on visual cues for emotion recognition, especially when auditory and visual inputs were incongruent. Furthermore, both heroin and ketamine addicts showed a higher incidence of emotional responses when only exposed to white noise, suggesting the presence of psychotic-like symptoms (i.e., speech illusion) in drug addicts. Our results preliminarily indicate a disorder or deficit in multi-modal emotional speech processing among drug addicts, and the use of visual cues (e.g., facial expressions) may be recommended to improve their interpretation of emotional expressions. Moreover, the speech illusions experienced by drug addicts warrant greater attention and awareness. This paper not only fills the research gap in understanding multi-modal emotion processing and speech illusion in drug addicts but also contributes to a deeper understanding of the effects of drugs on human behavior and provides insights for the theoretical foundations of detoxification and speech rehabilitation for drug addicts.

Assessing the effectiveness of online emotion recognition training in healthy volunteers.

Facial emotion recognition (ER) difficulties are associated with mental health and neurodevelopmental conditions, including autism and poorer social functioning. ER interventions may therefore have clinical potential. We investigated the efficacy of ER training (ERT). We conducted three online studies with healthy volunteers completing one ERT session. Studies 1 and 2 included active and control/sham training groups and tested the efficacy of (i) four-emotion ERT (angry, happy, sad and scared) (n = 101), and (ii) six-emotion ERT (adding disgusted and surprised) (n = 109). Study 3 tested generalizability of ERT to non-trained stimuli with groups trained and tested on the same stimuli, or different stimuli (n = 120). Training effects on total correct hits were estimated using linear mixed effects models. We did not observe clear evidence of improvement in study 1 but note the effect was in the direction of improvement (b = 0.02, 95% confidence interval (CI) = -0.02 to 0.07). Study 2 indicated greater total hits following training (b = 0.07, 95% CI = 0.03-0.12). Study 3 demonstrated similar improvement across groups (b = -0.01, 95% CI = -0.05 to 0.02). Our results indicate improved ER (as measured by our task), which generalizes to different facial stimulus sets. Future studies should further explore generalizability, longer-term effects and ERT in populations with known ER difficulties.

The early development of emotion recognition in autistic children: Decoding basic emotions from facial expressions and from emotion-provoking situations.

Autism is associated with challenges in emotion recognition. Yet, little is known about how emotion recognition develops over time in autistic children. This four-wave longitudinal study followed the development of three emotion-recognition abilities regarding four basic emotions in children with and without autism aged 2.5 to 6 years over three years. Behavioral tasks were used to examine whether children could differentiate facial expressions (emotion differentiation), identify facial expressions with verbal labels (emotion identification), and attribute emotions to emotion-provoking situations (emotion attribution). We confirmed previous findings that autistic children experienced more difficulties in emotion recognition than non-autistic children and the group differences were present already from the preschool age. However, the group differences were observed only when children processed emotional information from facial expressions. When emotional information could be deduced from situational cues, most group differences disappeared. Furthermore, this study provided novel longitudinal evidence that emotion recognition improved with age in autistic children: compared to non-autistic children, autistic children showed similar learning curves in emotion discrimination and emotion attribution, and they showed greater improvements in emotion identification. We suggest that inclusion and respect in an environment free of stereotyping are likely to foster the development of emotion recognition among autistic children.

Autism-associated gene shank3 is necessary for social contagion in zebrafish

BackgroundAnimal models enable targeting autism-associated genes, such as the shank3 gene, to assess their impact on behavioural phenotypes. However, this is often limited to simple behaviours relevant for social interaction. Social contagion is a complex phenotype forming the basis of human empathic behaviour and involves attention to the behaviour of others for recognizing and sharing their emotional or affective state. Thus, it is a form of social communication, which constitutes the most common developmental impairment across autism spectrum disorders (ASD).MethodsHere we describe the development of a zebrafish model that identifies the neurocognitive mechanisms by which shank3 mutation drives deficits in social contagion. We used a CRISPR-Cas9 technique to generate mutations to the shank3a gene, a zebrafish paralogue found to present greater orthology and functional conservation relative to the human gene. Mutants were first compared to wild types during a two-phase protocol that involves the observation of two conflicting states, distress and neutral, and the later recall and discrimination of others when no longer presenting such differences. Then, the whole-brain expression of different neuroplasticity markers was compared between genotypes and their contribution to cluster-specific phenotypic variation was assessed.ResultsThe shank3 mutation markedly reduced social contagion via deficits in attention contributing to difficulties in recognising affective states. Also, the mutation changed the expression of neuronal plasticity genes. However, only downregulated neuroligins clustered with shank3a expression under a combined synaptogenesis component that contributed specifically to variation in attention.LimitationsWhile zebrafish are extremely useful in identifying the role of shank3 mutations to composite social behaviour, they are unlikely to represent the full complexity of socio-cognitive and communication deficits presented by human ASD pathology. Moreover, zebrafish cannot represent the scaling up of these deficits to higher-order empathic and prosocial phenotypes seen in humans.ConclusionsWe demonstrate a causal link between the zebrafish orthologue of an ASD-associated gene and the attentional control of affect recognition and consequent social contagion. This models autistic affect-communication pathology in zebrafish and reveals a genetic attention-deficit mechanism, addressing the ongoing debate for such mechanisms accounting for emotion recognition difficulties in autistic individuals.

Hemispheric contributions toward interoception and emotion recognition in left-vs right-semantic dementia

BackgroundThe hemispheric contributions toward interoception, the perception of internal bodily cues, and emotion recognition remains unclear. Semantic dementia cases with either left-dominant (i.e., left-SD) or right-dominant (i.e., right-SD) anterior temporal lobe atrophy experience emotion recognition difficulties, however, little is known about interoception in these syndromes. Here, we hypothesised that right-SD would show worse interoception and emotion recognition due to right-dominant atrophy. MethodsThirty-five participants (8 left-SD; 6 right-SD; 21 controls) completed a monitoring task. Participants pressed a button when they: (1) felt their heartbeat, without pulse measurement (Interoception); or (2) heard a recorded heartbeat (Exteroception-control). Simultaneous ECG was recorded. Accuracy was calculated by comparing the event frequency (i.e., heartbeat or sound) to response frequency. Emotion recognition was assessed via the Facial Affect Selection Task. Voxel-based morphometry analyses identified neural correlates of interoception and emotion recognition. ResultsRight-SD showed worse interoception than controls and left-SD (both p's < 0.001). Both patient groups showed worse emotion recognition than controls (right-SD: p < .001; left-SD: p = .018), and right-SD showed worse emotion recognition than left-SD (p = .003). Regression analyses revealed that worse emotion recognition was predicted by right-SD (p = .002), left-SD (p = .005), and impaired interoception (p = .004). Interoception and emotion were associated with the integrity of right-lateralised structures including the insula, temporal pole, thalamus, superior temporal gyrus, and hippocampus. ConclusionOur study provides the first evidence for impaired interoception in right-SD, suggesting that impaired emotion recognition in this syndrome is driven by inaccurate internal monitoring. Further we identified a common neurobiological basis for interoception and emotion in the right hemisphere.

Fully robotic social environment for teaching and practicing affective interaction: Case of teaching emotion recognition skills to children with autism spectrum disorder, a pilot study.

21st century brought along a considerable decrease in social interactions, due to the newly emerged lifestyle around the world, which became more noticeable recently of the COVID-19 pandemic. On the other hand, children with autism spectrum disorder have further complications regarding their social interactions with other humans. In this paper, a fully Robotic Social Environment (RSE), designed to simulate the needed social environment for children, especially those with autism is described. An RSE can be used to simulate many social situations, such as affective interpersonal interactions, in which observational learning can take place. In order to investigate the effectiveness of the proposed RSE, it has been tested on a group of children with autism, who had difficulties in emotion recognition, which in turn, can influence social interaction. An A-B-A single case study was designed to show how RSE can help children with autism recognize four basic facial expressions, i.e., happiness, sadness, anger, and fear, through observing the social interactions of two robots speaking about these facial expressions. The results showed that the emotion recognition skills of the participating children were improved. Furthermore, the results showed that the children could maintain and generalize their emotion recognition skills after the intervention period. In conclusion, the study shows that the proposed RSE, along with other rehabilitation methods, can be effective in improving the emotion recognition skills of children with autism and preparing them to enter human social environments.

Beyond impairment of language: empathy deficit in logopenic variant of Primary Progressive Aphasia (P5-6.002)

<h3>Objective:</h3> The aim of this study is to assess possible empathy deficits and their neural basis in lv-PPA compared to amnesic AD. <h3>Background:</h3> Empathy is the ability to understand (cognitive empathy) and to feel (affective empathy) what others feel. Evidence about empathy in logopenic variant of Primary Progressive Aphasia (lv-PPA) are rare and not conclusive. <h3>Design/Methods:</h3> We included 18 lv-PPA and 38 amnesic AD patients. Informer-rated Interpersonal Reactivity Index (IRI) was used to explore cognitive (Perspective Taking-PT and Fantasy-F subscales) and affective (Empathic Concern-EC and Personal Distress-PD subscales) empathy, before (T0) and after (T1) cognitive symptoms’ onset. Emotion recognition was tested through Ekman-60 Faces Test. Eighteen lv-PPA and 30 amnesic AD patients underwent Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) and amyloid biomarker analysis. SPM analysis on FDG-PET was performed in 16 lv-PPA and 26 amnesic AD patients. <h3>Results:</h3> From T0 to T1, PT scores decreased, and PD scores increased in both lv-PPA (PT z=−3.43, <i>p</i>=0.001; PD z=−3.62, <i>p</i>&lt;0.001) and in amnesic AD (PT z=−4.57, <i>p</i>&lt;0.001; PD z=−5.20, <i>p</i>&lt;0.001). Lv-PPA performed poorer than amnesic AD in happiness recognition (7.54±2.18 vs 8.94±1.04, <i>p</i>=0.001). Delta-PT(T0–T1) negatively correlated with metabolic disfunction of left superior and middle frontal gyri, inferior parietal lobule and insula in lv-PPA, and of right superior temporal gyrus and middle frontal gyrus in amnesic AD (<i>p</i>&lt;0.005). Delta-PD(T0–T1) positively correlated with metabolic disfunction of left insula, inferior parietal lobule and superior frontal gyrus in lv-PPA (<i>p</i>&lt;0.005) and of right inferior frontal gyrus in amnesic AD (<i>p</i>&lt;0.001). <h3>Conclusions:</h3> Beyond language impairment, lv-PPA patients seems to present empathy changes and difficulties in emotion recognition. Lv-PPA and amnesic AD share the same empathic changes, with a damage of cognitive empathy and a heightening of person distress along time. Differences of neural correlates of empathy impairment might be due to the different vulnerability of specific brain regions in the two AD phenotypes. <b>Disclosure:</b> Ms. Giacomucci has nothing to disclose. Cristina Polito has nothing to disclose. Valentina Berti has nothing to disclose. Sonia Padiglioni has nothing to disclose. Dr. Galdo has nothing to disclose. Mr. Mazzeo has nothing to disclose. Dr. Bergamin has nothing to disclose. Miss Moschini has nothing to disclose. Miss Morinelli has nothing to disclose. Miss Nuti has nothing to disclose. Dr. De Cristofaro has nothing to disclose. Dr. Bagnoli has nothing to disclose. Benedetta Nacmias has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Elsevier. Sandro Sorbi has nothing to disclose. Valentina Bessi has nothing to disclose.

Thinking versus feeling: How interoception and cognition influence emotion recognition in behavioural-variant frontotemporal dementia, Alzheimer's disease, and Parkinson's disease

Disease-specific mechanisms underlying emotion recognition difficulties in behavioural-variant frontotemporal dementia (bvFTD), Alzheimer's disease (AD), and Parkinson's disease (PD) are unknown. Interoceptive accuracy, accurately detecting internal cues (e.g., one's heart beating), and cognitive abilities are candidate mechanisms underlying emotion recognition.One hundred and sixty-eight participants (52 bvFTD; 41 AD; 24 PD; 51 controls) were recruited. Emotion recognition was measured via the Facial Affect Selection Task or the Mini-Social and Emotional Assessment Emotion Recognition Task. Interoception was assessed with a heartbeat detection task. Participants pressed a button each time they: 1) felt their heartbeat (Interoception); or 2) heard a recorded heartbeat (Exteroception-control). Cognition was measured via the Addenbrooke's Cognitive Examination-III or the Montreal Cognitive Assessment. Voxel-based morphometry analyses identified neural correlates associated with emotion recognition and interoceptive accuracy.All patient groups showed worse emotion recognition and cognition than controls (all P's ≤ .008). Only the bvFTD showed worse interoceptive accuracy than controls (P < .001). Regression analyses revealed that in bvFTD worse interoceptive accuracy predicted worse emotion recognition (P = .008). Whereas worse cognition predicted worse emotion recognition overall (P < .001). Neuroimaging analyses revealed that the insula, orbitofrontal cortex, and amygdala were involved in emotion recognition and interoceptive accuracy in bvFTD.Here, we provide evidence for disease-specific mechanisms for emotion recognition difficulties. In bvFTD, emotion recognition impairment is driven by inaccurate perception of the internal milieu. Whereas, in AD and PD, cognitive impairment likely underlies emotion recognition deficits. The current study furthers our theoretical understanding of emotion and highlights the need for targeted interventions.

Exploring Emotion Recognition Patterns Among Iranian People Using CANTAB as an Approved Neuro-Psychological Assessment.

Emotion recognition is the main component of social cognition and has various patterns in different cultures and nationalities. The present study aimed to investigate emotion recognition patterns among Iranians using the Cambridge neuro-psychological test automated battery (CANTAB) as a valid neuropsychological test. In this descriptive-analytical study, 117 males and females (Mean±SD of age 32.1±6.4) were initially assessed by computerized intelligence and progressive matrices of RAVEN-2. Furthermore, the excitement recognition subtest taken from the Cambridge neuro-psychological test automated battery (CANTAB) was performed. The correct response of participants to each of the six basic emotions as well as the recognition time was used for analysis. The maximum correct response rate was 75.83% related to happy emotion. The correct responses for sadness, surprise, disgust, anger, and fear were 70%, 68.48%, 47.84%, 42.54%, and 38.26%, respectively. Moreover, the shortest recognition time was related to disgust at 322 ms, while sadness with a mean response time of 1800 ms and fear response time at 1529 ms indicated the longest recognition time. In addition, participants recognized happiness with a mean response time of 1264 ms better than other emotions; however, post-hoc t-test analyses showed that only the correct responses for sadness and surprised emotions did not differ significantly, (t(112)=-0.59, P=0.55, d=0.05). These results suggested that different emotions have various correct responses. However, sadness and surprise did not differ. The findings of this study could be beneficial for evaluating cognitive elements, as well as cognitive abilities and inabilities among the Iranian population. Moreover, the findings could be used for investigating social cognition in this population. Emotion recognition patterns among Iranians were investigated using a valid neuropsychological test.Iranians showed higher accuracy in recognizing happiness and lower accuracy in recognizing fear.Disgust was recognized with the shortest response time, while sadness and fear had the longest recognition time.The findings highlight cultural differences in emotion recognition and can aid in evaluating cognitive abilities and social cognition in the Iranian population.The study emphasizes the importance of considering cultural factors in assessing and understanding emotion recognition. Understanding how people recognize emotions is crucial for effective communication and building social connections. However, the ability to recognize emotions can vary across cultures. This study aimed to investigate how Iranians recognize emotions using a reliable test. The researchers assessed 117 Iranian adults, both males and females, using a computer-based test. Participants were asked to identify six basic emotions (happiness, sadness, anger, disgust, fear, and surprise) displayed on a screen. The researchers measured the participants' accuracy in identifying each emotion and the time it took them to recognize it. The findings revealed that Iranians were most accurate in recognizing happiness and least accurate in recognizing fear. They were better at identifying positive emotions like happiness and surprise compared to negative emotions like disgust and anger. Participants took the least time to recognize disgust and the longest time to recognize sadness and fear. These results show that Iranians have specific patterns in recognizing emotions, which can be influenced by cultural factors. Understanding these patterns is important for assessing cognitive abilities and social cognition in the Iranian population. Moreover, these findings have broader implications. They highlight the need to consider cultural differences in emotion recognition, as it can impact communication and social interactions. The study's outcomes can be valuable for various applications. For instance, they can aid in developing tests to assess emotion recognition difficulties in individuals with conditions such as autism or schizophrenia. Furthermore, these findings can be useful for professionals, such as employees in customer service or mental health providers, who need to accurately interpret others' emotions. By shedding light on cultural variations in emotion recognition, this research contributes to our understanding of human emotions and their role in interpersonal relationships.

Callous-unemotional Traits and Emotion Recognition Difficulties: Do Stimulus Characteristics Play a role?

Emotion recognition difficulties are linked to callous-unemotional (CU) traits, which predict risk for severe antisocial behavior. However, few studies have investigated how stimulus characteristics influence emotion recognition performance, which could give insight into the mechanisms underpinning CU traits. To address this knowledge gap, children aged 7-10years old (N = 45; 53% female, 47% male; 46.3% Black/African-American, 25.9% White, 16.7% Mixed race or Other, 9.3% Asian) completed an emotion recognition task featuring static facial stimuli from child and adult models and facial and full-body dynamic stimuli from adult models. Parents reported on CU traits of children in the sample. Children showed better emotion recognition for dynamic than static faces. Higher CU traits were associated with worse emotion recognition, particularly for sad and neutral expressions. Stimulus characteristics did not impact associations between CU traits and emotion recognition.

Emotion recognition in autism spectrum disorder across age groups: A cross-sectional investigation of various visual and auditory communicative domains.

Previous research on emotion processing in autism spectrum disorder (ASD) has predominantly focused on human faces and speech prosody, with little attention paid to other domains such as nonhuman faces and music. In addition, emotion processing in different domains was often examined in separate studies, making it challenging to evaluate whether emotion recognition difficulties in ASD generalize across domains and age cohorts. The present study investigated: (i) the recognition of basic emotions (angry, scared, happy, and sad) across four domains (human faces, face-like objects, speech prosody, and song) in 38 autistic and 38 neurotypical (NT) children, adolescents, and adults in a forced-choice labeling task, and (ii) the impact of pitch and visual processing profiles on this ability. Results showed similar recognition accuracy between the ASD and NT groups across age groups for all domains and emotion types, although processing speed was slower in the ASD compared to the NT group. Age-related differences were seen in both groups, which varied by emotion, domain, and performance index. Visual processing style was associated with facial emotion recognition speed and pitch perception ability with auditory emotion recognition in the NT group but not in the ASD group. These findings suggest that autistic individuals may employ different emotion processing strategies compared to NT individuals, and that emotion recognition difficulties as manifested by slower response times may result from a generalized, rather than a domain-specific underlying mechanism that governs emotion recognition processes across domains in ASD.

Vocal Emotion Recognition in Autism: Behavioral Performance and Event-Related Potential (ERP) Response.

Autistic youth display difficulties in emotion recognition, yet little research has examined behavioral and neural indices of vocal emotion recognition (VER). The current study examines behavioral and event-related potential (N100, P200, Late Positive Potential [LPP]) indices of VER in autistic and non-autistic youth. Participants (N=164) completed an emotion recognition task, the Diagnostic Analyses of Nonverbal Accuracy (DANVA-2) which includedVER, during EEG recording. The LPP amplitude was larger in response to high intensity VER, and social cognition predicted VER errors. Verbal IQ, not autism, was related to VER errors. An interaction between VER intensity and social communication impairments revealed these impairments were related to larger LPP amplitudes during low intensity VER. Taken together, differences in VER may be due to higher order cognitive processes, not basic, early perception (N100, P200), and verbal cognitive abilities may underlie behavioral, yet occlude neural, differences in VER processing.

Hormonal abnormalities in alexithymia.

Alexithymia is a personality trait characterized by difficulties in emotion recognition and regulation that is associated with deficits in social cognition. High alexithymia levels are considered a transdiagnostic risk factor for a range of psychiatric and medical conditions, including depression, anxiety, and autism. Hormones are known to affect social-emotional cognition and behavior in humans, including the neuropeptides oxytocin and vasopressin, the steroid hormones testosterone and estradiol, the stress hormone cortisol as well as thyroid hormones. However, few studies have investigated hormonal effects on alexithymia and on alexithymia-related impairments in emotion regulation and reactivity, stress response, and social cognition. Here, we provide a brief overview of the evidence linking alexithymia to abnormalities in hormone levels, particularly with regard to cortisol and oxytocin, for which most evidence exists, and to thyroid hormones. We address the current lack of research on the influence of sex hormones on alexithymia and alexithymia-related deficits, and lastly provide future directions for research on associations between hormonal abnormalities and deficits in emotion regulation and social cognition associated with alexithymia.

Adapting cognitive behaviour therapy for adults with autism: a lived experience-led consultation with specialist psychological therapists

Abstract The aim of this study was to investigate, from a lived experience perspective, specialist psychological therapists’ views on therapeutic adaptations to cognitive behaviour therapy (CBT) for autism that are most helpful for service users and enable best practice. Psychological therapist participants took part in semi-structured interviews led by a researcher with lived experience of autism. A thematic analysis was carried out. Participants (n=8) reported that challenges for service users were anxiety about the therapeutic relationship; communication difficulties with understanding and being understood; emotion recognition difficulties impeding trust and development of the therapeutic relationship; relationships with family interfering with the intervention; information processing impairments, necessitating a slower pace to the intervention; and avoidance of therapy due to anxiety. Goals were forming relationships and building social confidence and skills. Demographic differences were age, with older service users deemed less open to change and younger service users less mature and more often accompanied by family; and gender, with female service users deemed more socially able than males. Therapeutic adaptations were to increase collaboration; support emotional literacy, to help service users understand their own and others’ emotions; focus on special interests; use visual prompts, to improve communication and understanding; be consistent, to build trust and reduce anxiety; accommodate sensory needs, to reduce anxiety and build engagement; avoid metaphors, to reduce communication difficulties; and use role-play, to build and enhance social skills. Therefore, adapting CBT may support clinicians and reduce challenges for people with autism, while lived experience perspectives ensure adaptations meet service users’ needs. Key learning aims (1) To use a lived experience perspective to explore expert psychological therapists’ views of challenges and adaptations when delivering CBT for adults with autism. (2) To investigate the benefits of adapting CBT when working with adults with autism. (3) To understand the importance of involving people with lived experience in the development and co-production of psychological interventions.

Associations between emotion recognition and autistic and callous-unemotional traits: differential effects of cueing to the eyes.

Although autism and callous-unemotional (CU) traits are distinct conditions, both are associated with difficulties in emotion recognition. However, it is unknown whether the emotion recognition difficulties characteristic of autism and CU traits are driven by comparable underpinning mechanisms. We tested whether cueing to the eyes improved emotion recognition in relation to autistic and CU traits in a heterogeneous sample of children enhanced for social, emotional and behavioural difficulties. Participants were 171 (n=75 male) children aged 10-16 years with and without a diagnosis of autism (n=99 autistic), who completed assessments of emotion recognition with and without cueing to the eyes. Parents completed the assessment of autistic and CU traits. Associations between autistic and CU traits and emotion recognition accuracy were dependent upon gaze cueing. CU traits were associated with an overall decrease in emotion recognition in the uncued condition, but better fear recognition when cued to the eyes. Conversely, autistic traits were associated with decreased emotion recognition in the cued condition only, and no interactions between autistic traits and emotion were found. The differential effect of cueing to the eyes in autistic and CU traits suggests different mechanisms underpin emotion recognition abilities. Results suggest interventions designed to promote looking to the eyes may be beneficial for children with CU traits, but not for children with autistic characteristics. Future developmental studies of autism and CU characteristics are required to better understand how different pathways lead to overlapping socio-cognitive profiles.