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

The effectiveness of social training in individuals with autism spectrum disorder (ASD): a systematic review and transfer analysis

Autism spectrum disorders (ASD) are characterized by impaired social communication and interactions, as well as constrained and repetitive manifestations of interests and behaviors. Various interventions at cognitive and behavioral levels aim to address impaired social communication and interaction in individuals with ASD. This study systematically explores the transferability of social training in individuals with ASD, guided by the conceptual model known as the FIELD framework (Function, Implement, Ecology, Level, and Durability). Employing the PRISMA methodology, 52 original experiments were included in the study. The transfer analysis, formulated as a conceptual meta-analysis based on the effect sizes, underscores the significant impact of variables including age, severity of autism, intervention tools, intervention intensity, intervention context, and intervention duration on the transferability of social training in individuals with ASD. The transfer of skills was particularly conspicuous among younger individuals, especially in face-to-face interventions, in contrast to digital alternatives. Moreover, cognitive interventions exhibited superior transferability compared to behavioral interventions, especially when administered with a higher intervention dose.

The influence of dynamism and expression intensity on face emotion recognition in individuals with autistic traits

Face emotion recognition (FER) ability varies across the population, with autistic traits in the general population reported to contribute to this variation. Previous studies used photographs of posed facial expressions, while real social encounters involve dynamic expressions of varying intensity. We used static photographs and dynamic videos, showing peak and partial facial expressions to investigate the influence of dynamism and expression intensity on FER in non-clinical adults who varied in autistic traits. Those with high autistic traits had lower accuracy with both static peak and dynamic partial intensity expressions, when compared to low autistic trait participants. Furthermore, high autistic traits were linked to an accuracy advantage for dynamic compared with static stimuli in both partial and peak expression conditions, while those with low autistic traits demonstrated this dynamic advantage only for partial expressions. These findings reveal the differing importance of dynamism and expression intensity for FER across the non-clinical population and appear linked to self-reported social-communication skills. Furthermore, FER difficulties in autism might relate to the ability to integrate subtle, dynamic information, rather than static emotion categorisation alone.

Temporal characteristics of facial ensemble in individuals with autism spectrum disorder: examination from arousal and attentional allocation

Introduction

Individuals with Autism Spectrum Disorder (ASD) show atypical recognition of facial emotions, which has been suggested to stem from arousal and attention allocation. Recent studies have focused on the ability to perceive an average expression from multiple spatially different expressions. This study investigated the effect of autistic traits on temporal ensemble, that is, the perception of the average expression from multiple changing expressions.

Methods

We conducted a simplified temporal-ensemble task and analyzed behavioral responses, pupil size, and viewing times for eyes of a face. Participants with and without diagnosis of ASD viewed serial presentations of facial expressions that randomly switched between emotional and neutral. The temporal ratio of the emotional expressions was manipulated. The participants estimated the intensity of the facial emotions for the overall presentation.

Results

We obtained three major results: (a) many participants with ASD were less susceptible to the ratio of anger expression for temporal ensembles, (b) they produced significantly greater pupil size for angry expressions (within-participants comparison) and smaller pupil size for sad expressions (between-groups comparison), and (c) pupil size and viewing time to eyes were not correlated with the temporal ensemble.

Discussion

These results suggest atypical temporal integration of anger expression and arousal characteristics in individuals with ASD; however, the atypical integration is not fully explained by arousal or attentional allocation.

Comprehension of irony in autistic children: The role of theory of mind and executive function

Although previous studies have examined irony comprehension in autistic children and potential impact factors, the relationship between theory of mind (ToM), executive function (EF), symptoms of autism, and comprehension of irony in this population remains largely unknown. This study explored irony comprehension in autistic children and examined the roles of ToM and EF in linking autism symptoms to deficits in irony comprehension. Twenty autistic children were compared with 25 typically developing (TD) children in an irony story picture task, ToM task, and EF task. The results showed that autistic children had impaired comprehension of irony compared with TD children, and performance on ironic stories showed a significant moderate discriminatory effect in predicting autistic children. A ToM deficit has also been proposed for autistic children. Comprehension of irony was significantly correlated with second-order ToM (2nd ToM) but was not significantly correlated with any components of EF. Moreover, 2nd ToM can predict the level of irony comprehension and mediate the relationship between symptoms of autism and irony comprehension. Taken together, these findings suggest that irony comprehension may offer a potential cognitive marker for quantifying syndrome manifestations in autistic children, and 2nd ToM may provide insight into the theoretical mechanism underlying the deficit in irony comprehension in this population.

Remediation of theory of mind in children with autism spectrum disorders: Effectiveness and transferability of training effects to behavioral symptoms

BACKGROUND

Children with autism spectrum disorders (ASD) struggle with impaired theory of mind. We aimed to evaluate the effect of remediation of theory of mind on theory of mind, face perception, and behavioral symptoms in children with ASD.

METHODS

Thirty children with ASD were randomly assigned to two equal groups of theory of mind training and active control group. Attentive remediation of theory of mind (ARTOM) and story-telling sessions were used for intervention in the groups. Theory of mind and facial emotion recognition tests as well as Gilliam autism rating scale (GARS) were used for assessment in three baseline, post-intervention, and follow-up sessions. Repeated measures ANOVAs were used for analysis.

RESULTS

The results showed improvement in facial emotion recognition and theory of mind in intervention group. The behavioral symptoms, measured by GARS, were ameliorated in the intervention group. The training effects lasted until follow-up session.

CONCLUSIONS

The results suggest remediation of basic components of theory of mind, without direct intervention on theory of mind, improves theory of mind skill. The results also suggest that the remediation of basic components of theory of mind improves social and communicational performance and ameliorates stereotypes symptoms in children with ASD.

Autistic adults exhibit highly precise representations of others' emotions but a reduced influence of emotion representations on emotion recognition accuracy

To date, studies have not yet established the mechanisms underpinning differences in autistic and non-autistic emotion recognition. The current study first investigated whether autistic and non-autistic adults differed in terms of the precision and/or differentiation of their visual emotion representations and their general matching abilities, and second, explored whether differences therein were related to challenges in accurately recognizing emotional expressions. To fulfil these aims, 45 autistic and 45 non-autistic individuals completed three tasks employing dynamic point light displays of emotional facial expressions. We identified that autistic individuals had more precise visual emotion representations than their non-autistic counterparts, however, this did not confer any benefit for their emotion recognition. Whilst for non-autistic people, non-verbal reasoning and the interaction between precision of emotion representations and matching ability predicted emotion recognition, no variables contributed to autistic emotion recognition. These findings raise the possibility that autistic individuals are less guided by their emotion representations, thus lending support to Bayesian accounts of autism.

Digitally assisted diagnostics of autism spectrum disorder

Digital technologies have the potential to support psychiatric diagnostics and, in particular, differential diagnostics of autism spectrum disorder in the near future, making clinical decisions more objective, reliable and evidence-based while reducing clinical resources. Multimodal automatized measurement of symptoms at cognitive, behavioral, and neuronal levels combined with artificial intelligence applications offer promising strides toward personalized prognostics and treatment strategies. In addition, these new technologies could enable systematic and continuous assessment of longitudinal symptom development, beyond the usual scope of clinical practice. Early recognition of exacerbation and simplified, as well as detailed, progression control would become possible. Ultimately, digitally assisted diagnostics will advance early recognition. Nonetheless, digital technologies cannot and should not substitute clinical decision making that takes the comprehensive complexity of individual longitudinal and cross-section presentation of autism spectrum disorder into account. Yet, they might aid the clinician by objectifying decision processes and provide a welcome relief to resources in the clinical setting.

Effects of temporal properties of facial expressions on the perceived intensity of emotion

A series of multiple facial expressions can be temporally perceived as an averaged facial expression in a process known as ensemble perception. This study examined the effect of temporal parameters on the perceived intensity of facial expression in each emotion, and how the effect varies with autistic traits in typically developing people. In the experiment, we presented facial expressions that switched from emotional to neutral expressions, and vice versa, for 3 s. Participants rated the overall perceived intensity of the facial emotions as a whole rather than rating individual items within the set. For the two tasks, a ratio of duration of emotional faces to duration of neutral faces (emotional ratio) and the timing for transitions were manipulated individually. The results showed that the intensity of facial emotion was perceived more strongly when the presentation ratio increased and when the emotional expression was presented last. The effects were different among the emotions (e.g. relatively weak in the anger expression). Moreover, the perceived intensity of angry expressions decreased with autistic traits. These results suggest that the properties and individual differences in the facial ensemble of each emotion affect emotional perceptions.

An RCT study showing few weeks of music lessons enhance audio-visual temporal processing

Music involves different senses and is emotional in nature, and musicians show enhanced detection of audio-visual temporal discrepancies and emotion recognition compared to non-musicians. However, whether musical training produces these enhanced abilities or if they are innate within musicians remains unclear. Thirty-one adult participants were randomly assigned to a music training, music listening, or control group who all completed a one-hour session per week for 11 weeks. The music training group received piano training, the music listening group listened to the same music, and the control group did their homework. Measures of audio-visual temporal discrepancy, facial expression recognition, autistic traits, depression, anxiety, stress and mood were completed and compared from the beginning to end of training. ANOVA results revealed that only the music training group showed a significant improvement in detection of audio-visual temporal discrepancies compared to the other groups for both stimuli (flash-beep and face-voice). However, music training did not improve emotion recognition from facial expressions compared to the control group, while it did reduce the levels of depression, stress and anxiety compared to baseline. This RCT study provides the first evidence of a causal effect of music training on improved audio-visual perception that goes beyond the music domain.

Comparing Early Pragmatics in Typically Developing Children and Children with Neurodevelopmental Disorders

This study examined the early pragmatic language skills in typically developing (TD) preschool-age children, children with language impairment (LI) and children with autism spectrum disorder (ASD). Two hundred and sixty-two TD children, 73 children with LI, and 16 children with ASD were compared on early pragmatics through direct assessment (DA). Post hoc analysis revealed that children in two clinical groups displayed significant pragmatic language deficits. Children in the ASD group who were older exhibited comparable degree of impairments as their LI peers, suggesting a relatively stagnant development of pragmatic language skills in children with ASD. Findings also supported the use of DA in identifying pragmatic language deficits, which have implications for the adoption of this assessment approach in clinical settings.

Speed and accuracy of emotion recognition in autistic adults: The role of stimulus type, response format, and emotion

Emotion recognition difficulties are considered to contribute to social-communicative problems for autistic individuals. Prior research has been dominated by a focus on forced-choice recognition response accuracy for static face presentations of basic emotions, often involving small samples. Using free-report and multiple-choice response formats, we compared emotion recognition in IQ-matched autistic (N = 63) and nonautistic (N = 67) adult samples using 12 face emotion stimuli presented in three different stimulus formats (static, dynamic, social) that varied the degree of accompanying contextual information. Percent agreement with normative recognition responses (usually labeled "recognition accuracy") was slightly lower for autistic adults. Both groups displayed marked inter-individual variability and, although there was considerable overlap between groups, a very small subset of autistic individuals recorded lower percent agreement than any of the nonautistic sample. Overall, autistic individuals were significantly slower to respond and less confident. Although stimulus type, response format, and emotion affected percent agreement, latency and confidence, their interactions with group were nonsignificant and the associated effect sizes extremely small. The findings challenge notions that autistic adults have core deficits in emotion recognition and are more likely than nonautistic adults to be overwhelmed by increasingly dynamic or complex emotion stimuli and to experience difficulties recognizing specific emotions. Suggested research priorities include clarifying whether longer recognition latencies reflect fundamental processing limitations or adjustable strategic influences, probing age-related changes in emotion recognition across adulthood, and identifying the links between difficulties highlighted by traditional emotion recognition paradigms and real-world social functioning. LAY SUMMARY: It is generally considered that autistic individuals are less accurate than nonautistic individuals at recognizing other people's facial emotions. Using a wide array of emotions presented in various contexts, this study suggests that autistic individuals are, on average, only slightly less accurate but at the same time somewhat slower when classifying others' emotions. However, there was considerable overlap between the two groups, and great variability between individuals. The differences between groups prevailed regardless of how stimuli were presented, the response required or the particular emotion.

Exploratory study on the use of HMD virtual reality to investigate individual differences in visual processing styles

Purpose

Global and local processing is part of human perceptual organisation, where global processing helps extract the “gist” of the visual information and local processing helps perceive the details. Individual differences in these two types of visual processing have been found in autism and ADHD (Attention-Deficit Hyperactivity Disorder). Virtual reality (VR) has become a more available method of research in the last few decades. No previous research has investigated perceptual differences using this technology.

Design/methodology/approach

The objective of the research is to threefold: (1) identify if there is association between ADHD and autistic traits and the performance on the Rey-Osterrieth complex figure (ROCF) task, (2) investigate practical effects of using VR drawing tools for research on perceptual experiences and (3) explore any perceptual differences brought out by the three-dimensional nature of the VR. The standard ROCF test was used as a baseline task to investigate the practical utility of using VR as an experimental platform. A total of 94 participants were tested.

Findings

Attention-to-detail, attention switching and imagination subscales of autism quotient (AQ) questionnaire were found to be predictors of organisational ROCF scores, whereas only the attention-to-detail subscale was predictive of perceptual ROCF scores.

Originality/value

The current study is an example of how classic psychological paradigms can be transferred into the virtual world. Further investigation of the distinct individual preferences in drawing tasks in VR could lead to a better understanding of individual differences in the processing of visuospatial information.

Comparing internal representations of facial expression kinematics between autistic and non-autistic adults

Recent developments suggest that autistic individuals require dynamic angry expressions to have a higher speed in order for them to be successfully identified. Therefore, it is plausible that autistic individuals do not have a 'deficit' in angry expression recognition, but rather their internal representation of these expressions is characterised by very high-speed movement. In this study, matched groups of autistic and non-autistic adults completed a novel emotion-based task which employed dynamic displays of happy, angry and sad point light facial (PLF) expressions. On each trial, participants moved a slider to manipulate the speed of a PLF stimulus until it moved at a speed that, in their 'mind's eye', was typical of happy, angry or sad expressions. Participants were shown three different types of PLFs-those showing the full-face, only the eye region, and only the mouth region, wherein the latter two were included to test whether differences in facial information sampling underpinned any dissimilarities in speed attributions. Across both groups, participants attributed the highest speeds to angry, then happy, then sad, facial motion. Participants increased the speed of angry and happy expressions by 41% and 27% respectively and decreased the speed of sad expressions by 18%. This suggests that participants have 'caricatured' internal representations of emotion, wherein emotion-related kinematic cues are over-emphasised. There were no differences between autistic and non-autistic individuals in the speeds attributed to full-face and partial-face angry, happy and sad expressions respectively. Consequently, we find no evidence that autistic adults possess atypically fast internal representations of anger.

Differences Between Autistic and Non-Autistic Adults in the Recognition of Anger from Facial Motion Remain after Controlling for Alexithymia

To date, studies have not established whether autistic and non-autistic individuals differ in emotion recognition from facial motion cues when matched in terms of alexithymia. Here, autistic and non-autistic adults (N = 60) matched on age, gender, non-verbal reasoning ability and alexithymia, completed an emotion recognition task, which employed dynamic point light displays of emotional facial expressions manipulated in terms of speed and spatial exaggeration. Autistic participants exhibited significantly lower accuracy for angry, but not happy or sad, facial motion with unmanipulated speed and spatial exaggeration. Autistic, and not alexithymic, traits were predictive of accuracy for angry facial motion with unmanipulated speed and spatial exaggeration. Alexithymic traits, in contrast, were predictive of the magnitude of both correct and incorrect emotion ratings.

The influence of emotional face distractors on attentional orienting in Chinese children with autism spectrum disorder

The current study examined how emotional faces impact on attentional control at both involuntary and voluntary levels in children with and without autism spectrum disorder (ASD). A non-face single target was either presented in isolation or synchronously with emotional face distractors namely angry, happy and neutral faces. ASD and typically developing children made more erroneous saccades towards emotional distractors relative to neutral distractors in parafoveal and peripheral conditions. Remote distractor effects were observed on saccade latency in both groups regardless of distractor type, whereby time taken to initiate an eye movement to the target was longest in central distractor conditions, followed by parafoveal and peripheral distractor conditions. The remote distractor effect was greater for angry faces compared to happy faces in the ASD group. Proportions of failed disengagement trials from central distractors, for the first saccade, were higher in the angry distractor condition compared with the other two distractor conditions in ASD, and this effect was absent for the typical group. Eye movement results suggest difficulties in disengaging from fixated angry faces in ASD. Atypical disengagement from angry faces at the voluntary level could have consequences for the development of higher-level socio-communicative skills in ASD.

When Alterations in Social Cognition Meet Subjective Complaints in Autism Spectrum Disorder: Evaluation With the "ClaCoS" Battery

Background: Deficit in social communication is a core feature in Autism Spectrum Disorder but remains poorly assessed in classical clinical practice, especially in adult populations. This gap between needs and practice is partly due to a lack of standardized evaluation tools. The multicentric Research group in psychiatry GDR3557 (Institut de Psychiatrie) developed a new battery for social cognitive evaluation named "ClaCoS," which allows testing the main components of social cognition: Emotion Recognition, Theory of Mind, Attributional Style, and Social Perception and Knowledge. It further provides an assessment of subjective complaints in social cognition. Methods: We compared the social cognition abilities of 45 adults with Autism Spectrum Disorder without intellectual disability and 45 neurotypically developed volunteers using the "ClaCoS" battery, in order to determine its relevance in the evaluation of social cognition impairments in autism. A correlational approach allowed us to test the links between subjective complaints and objectively measured impairments for the different components of social cognition. Results: As expected, the Autism Spectrum Disorder group showed deficits in all four components of social cognition. Moreover, they reported greater subjective complaints than controls regarding their social abilities, correlated to the neuropsychological assessments. Conclusion: The "ClaCoS" battery is an interesting tool allowing to assess social impairments in autism and to specify the altered components, for a better adjustment of tailored social cognition training programs. Our results further suggest that people with Autism Spectrum Disorder have a good social cognitive insight, i.e., awareness into social cognitive functioning, and may thus benefit from social cognitive training tools.

Impaired Recognition of Static and Dynamic Facial Emotions in Children With Autism Spectrum Disorder Using Stimuli of Varying Intensities, Different Genders, and Age Ranges Faces

A multitude of research on facial emotion recognition (FER) in Autism Spectrum Disorders (ASD) have been published since several years. However, these studies have mainly used static high intensity stimuli, including adult and/or children facial emotions. This current study investigated FER in children with ASD using an innovative task, composed of a combination of static (114 pictures) and dynamic (36 videos) subtests, including children, adolescent, and adult male and female faces, with high, medium, and low intensity of basic facial emotions, and neutral expression. The ASD group consisted of 45 Tunisian verbal children, and the control group consisted of 117 tunisian typically developing children. Both groups were aged 7-12 years. After adjusting for sex, age, mental age, and school grade, the ASD group scored lower than controls on all tests except for the recognition of happiness and fear in the static subtest, and the recognition of happiness, fear, and sadness in the dynamic subtest (p ≥ 0.05). In the ASD group, the total score of both the static and the dynamic subtest were positively correlated with the school grade (p < 0.001), but not with age, or mental age. Children with ASD performed better in recognizing facial emotions in children than in adults and adolescents on videos and photos (p < 0.001). Impairments in FER would have negative impact on the child's social development. Thus, the creation of new intervention instruments aiming to improve emotion recognition strategies at an early stage to individuals with ASD seems fundamental.

Facial Emotion Recognition and Polymorphisms of Dopaminergic Pathway Genes in Children with ASD

Background

It is inconclusive whether children with autism spectrum disorder (ASD) experience a deficit in facial emotion recognition. The dopaminergic pathway has been implicated in the pathogenesis of ASD. This study was aimed at determining facial emotion recognition and its correlation with polymorphisms in the dopaminergic pathway genes in children with ASD.

Methods

Facial emotion recognition was examined in 98 children with ASD and 60 age- and gender-matched healthy controls. The severity of ASD was evaluated using the Childhood Autism Rating Scale (CARS). DNA from blood cells was used to analyze the genotypes of single-nucleotide polymorphisms (SNPs) in dopaminergic pathway genes. SNPs of DBH rs1611115, DDC rs6592961, DRD1 rs251937, DRD2 rs4630328, and DRD3 rs167771 were analyzed.

Results

Children with ASD took a significantly longer time to recognize all facial emotions, and their interpretations were less accurate for anger at low intensity and fear at both low and high intensities. The severity of the disease was associated with significant delays in recognition of all facial emotions and with a decrease in accuracy in recognition of happiness and anger at low intensity. Accuracy in recognizing fear at high intensity and sadness at low intensity was associated with rs251937 and rs4630328, respectively, in children with ASD. Multivariate logistic regression analysis revealed that SNP rs167771, response time for the recognition of happiness, sadness and fear, and accuracy in recognition of anger and fear were all associated with the risk of childhood ASD.

Conclusions

Children with ASD experience a deficit in facial emotion recognition. Certain SNPs in the dopaminergic pathway genes are associated with accuracy in recognizing selective facial emotions in children with ASD.

Changing Faces: Dynamic Emotional Face Processing in Autism Spectrum Disorder Across Childhood and Adulthood

BACKGROUND

Autism spectrum disorder (ASD) is classically associated with poor emotional face processing. Few studies, however, have used more ecological dynamic stimuli. We contrasted functional magnetic resonance imaging measures of dynamic emotional face processing in ASD and typically developing (TD) cohorts across a wide age range to determine if the processing and age-related trajectories differed between participants with and without ASD.

METHODS

Functional magnetic resonance imaging data collected from 200 participants (5-42 years old; 107 in ASD cohort, 93 in TD cohort) during the presentation of dynamic emotional faces (neutral-to-happy, neutral-to-angry) and dynamic flowers (closed-to-open) were analyzed. Group differences and group-by-age interactions in the faces versus flowers and between emotion contrasts were investigated.

RESULTS

Differences in activation between dynamic faces and flowers in occipital regions, including the fusiform gyri, were reduced in the ASD group. Contrasting the two emotions, ASD compared with TD participants showed increased engagement of the precentral, postcentral, and superior temporal gyri to happy faces and increased activation to angry faces occipitally. Emotion processing regions, such as insula, temporal pole, and frontal regions, showed increased recruitment with age to happy faces compared with both angry faces and flowers in the TD group, but decreased recruitment with age in the ASD group.

CONCLUSIONS

Using dynamic stimuli, we demonstrated that participants with ASD processed faces similarly to nonface stimuli, and age-related atypicalities were more pronounced to happy faces in participants with ASD. We demonstrated emotion-specific atypicalities in a large group of participants with ASD that underscore persistent difficulties from childhood into mid-adulthood.

The Effect of Sleep Deprivation on Recognition of Ambiguous Emotional Facial Expressions in Individuals With ADHD

Objective: The present study sought to investigate whether young adults with ADHD have more difficulty recognizing emotional facial expressions compared with young adults without ADHD, and whether such a difference worsens following sleep deprivation. Method: Thirty-one young men (M = 25.6) with (n = 15) or without (n = 16) a diagnosis of ADHD were included in this study. The participants were instructed to sleep 7 hr or more each night for one week, and their sleep quality was monitored via actigraph. Subsequently, the participants were kept awake in a controlled environment for 30 hr. The participants completed a visual emotional morph task twice-at the beginning and at the end of this period. The task included presentation of interpolated face stimuli ranging from neutral facial expressions to fully emotional facial expressions of anger, sadness, or happiness, allowing for assessment of the intensity threshold for recognizing these facial emotional expressions. Results: Actigraphy data demonstrated that while the nightly sleep duration of the participants with ADHD was similar to that of participants without ADHD, their sleep efficiency was poorer. At the onset of the experiment, there were no differences in recognition thresholds between the participants with ADHD and those without ADHD. Following sleep deprivation, however, the ADHD group required clearer facial expressions to recognize the presence of angry, sad, and, to a lesser extent, happy faces. Conclusion: Among young adults with ADHD, sleep deprivation may hinder the processing of emotional facial stimuli.

Social performance–based interventions promote gains in social knowledge in the absence of explicit training for youth with autism spectrum disorder

Youth with autism spectrum disorder (ASD) experience deficits in social knowledge. It has long been theorized that these youth must learn these skills explicitly, and social skills interventions (SSIs) have followed suit. Recently, performance-based SSIs have emerged, which promote in vivo opportunities for social engagement without explicit instruction. Effects of performance-based SSIs on social knowledge have not been examined. This study employs two discrete samples (one lab-based, one community-based) of youth with ASD to examine the effects of performance-based interventions on social knowledge. Results largely support the efficacy and effectiveness of improving social knowledge by performance-based interventions without explicit teaching. This indicates that youth with ASD may be able to learn these aspects of social cognition implicitly, rather than exclusively explicitly. The results of the current study also suggest that SSI content, dosage, and intensity may relate to these outcomes, which are important considerations in clinical practice and future studies.

An Integrative Way for Studying Neural Basis of Basic Emotions With fMRI

How emotions are represented in the nervous system is a crucial unsolved problem in the affective neuroscience. Many studies are striving to find the localization of basic emotions in the brain but failed. Thus, many psychologists suspect the specific neural loci for basic emotions, but instead, some proposed that there are specific neural structures for the core affects, such as arousal and hedonic value. The reason for this widespread difference might be that basic emotions used previously can be further divided into more “basic” emotions. Here we review brain imaging data and neuropsychological data, and try to address this question with an integrative model. In this model, we argue that basic emotions are not contrary to the dimensional studies of emotions (core affects). We propose that basic emotion should locate on the axis in the dimensions of emotion, and only represent one typical core affect (arousal or valence). Therefore, we propose four basic emotions: joy-on positive axis of hedonic dimension, sadness-on negative axis of hedonic dimension, fear, and anger-on the top of vertical dimensions. This new model about basic emotions and construction model of emotions is promising to improve and reformulate neurobiological models of basic emotions.

A Model for Basic Emotions Using Observations of Behavior in Drosophila

Emotion plays a crucial role, both in general human experience and in psychiatric illnesses. Despite the importance of emotion, the relative lack of objective methodologies to scientifically studying emotional phenomena limits our current understanding and thereby calls for the development of novel methodologies, such us the study of illustrative animal models. Analysis of Drosophila and other insects has unlocked new opportunities to elucidate the behavioral phenotypes of fundamentally emotional phenomena. Here we propose an integrative model of basic emotions based on observations of this animal model. The basic emotions are internal states that are modulated by neuromodulators, and these internal states are externally expressed as certain stereotypical behaviors, such as instinct, which is proposed as ancient mechanisms of survival. There are four kinds of basic emotions: happiness, sadness, fear, and anger, which are differentially associated with three core affects: reward (happiness), punishment (sadness), and stress (fear and anger). These core affects are analogous to the three primary colors (red, yellow, and blue) in that they are combined in various proportions to result in more complex “higher order” emotions, such as love and aesthetic emotion. We refer to our proposed model of emotions as called the “Three Primary Color Model of Basic Emotions.”

The Characteristics of Intelligence Profile and Eye Gaze in Facial Emotion Recognition in Mild and Moderate Preschoolers With Autism Spectrum Disorder

Childhood autism spectrum disorder (ASD) can easily be misdiagnosed, due to the nonspecific social and communicational deficits associated with the disorder. The present study attempted to profile the mental development and visual attention toward emotion among preschool children with mild or moderate ASD who were attending mainstream kindergartens. A total of 21 children (17 boys and 4 girls) diagnosed with mild or moderate ASD selected from 5,178 kindergarteners from the Xi'an city were recruited. Another group of 21 typically developing (TD) children who were matched with age, gender, and class served as controls. All children were assessed using the Griffiths Mental Development Scales-Chinese (GDS-C), and their social visual attention was assessed during watching 20 ecologically valid film scenes by using eye tracking technique. The results showed that ASD children had lower mental development scores in the Locomotor, Personal-Social, Language, Performance, and Practical Reasoning subscales than the TD peers. Moreover, deficits in recognizing emotions from facial expressions based on naturalistic scene stimuli with voice were found for ASD children. The deficits were significantly correlated with their ability in social interaction and development quotient in ASD group. ASD children showed atypical eye-gaze pattern when compared to TD children during facial emotion expression task. Children with ASD had reduced visual attention to facial emotion expression, especially for the eye region. The findings confirmed the deficits of ASD children in real life multimodal of emotion recognition, and their atypical eye-gaze pattern for emotion recognition. Parents and teachers of children with mild or moderate ASD should make informed educational decisions according to their level of mental development. In addition, eye tracking technique might clinically help provide evidence diagnosing children with mild or moderate ASD.