1. Alshaban FA, Ghazal I, Al-Harahsheh ST, Lotfy M, Al-Shammari H, Al-Faraj F, Thompson IR, Ratto AB, Nasir A, Tolefat M. Effects of COVID-19 on Autism Spectrum Disorder in Qatar. Front Psychiatry;2024;15:1322011.

INTRODUCTION: The unprecedented impact of the coronavirus pandemic (COVID-19) has had profound implications on the ASD community, including disrupting daily life, increasing stress and emotional dysregulation in autistic children, and worsening individual and family well-being. METHODS: This study used quantitative and qualitative survey data from parents in Qatar (n=271), to understand the impact of the COVID-19 pandemic on autistic children and their families in Qatar. The questionnaire was a combination of open-ended (qualitative) and closed-ended (quantitative) questions to explore patterns in the experiences of the different families, as well as to contrive themes. The survey was created in a way to evaluate the psychological, academic/intervention, economic, and other impacts of the pandemic related measures on a sample of multicultural families residing in the State of Qatar during the peak period of confinement and physical distancing in 2020. Data acquisition involved the utilization of Google Forms. Subsequent quantitative analysis employed the SPSS software and chi-square analysis for numerical examination, enabling the characterization of the studied population and exploration of associations between parental stress levels and variables such as employment status, therapy accessibility, presence of hired assistance, and alterations in their childs skills. Concurrently, qualitative data from written responses underwent thorough categorization, encompassing themes such as emotional isolation, mental or financial challenges, and difficulties in obtaining support. RESULTS: Parents expressed distress and disturbance in their daily lives, including profound disruptions to their childrens access to treatment, education, and activities. Most parents reported deteriorations in their childrens sleep (69.4%), behavioral regulation (52.8%), and acquired skills across multiple domains (54.2%). Parents also reported decreased access to family and social support networks, as well as decreased quality of clinical and community support. Qualitative analysis of parental responses revealed that child developmental regression was an important source of parental stress. DISCUSSION AND CONCLUSION: The greater impact of the pandemic on autistic children and their families emphasizes the need for accessible and affordable health, education, and family services to manage their special needs.

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2. Devroe S, Bleeser T, Lucas N. Decoding labour epidural analgesia and autism: Navigating the abyss between statistical significance, biological plausibility and clinical relevance. Eur J Anaesthesiol;2024 (Apr 1);41(4):257-259.

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3. Harris CP, Jones B, Walker K, Berry MS. Case report: Adult with bipolar disorder and autism treated with ketamine assisted psychotherapy. Front Psychiatry;2024;15:1322679.

BACKGROUND: Evidence has increased in recent years regarding the potential for ketamine to serve as a novel treatment option for a range of conditions, particularly depression (unipolar and bipolar). However, research regarding ketamine as a potential therapeutic for Autism Spectrum Disorder (ASD) is lacking, despite high overlap with bipolar depression and theoretical foundations for its use. CASE PRESENTATION: A 29-year-old man with bipolar disorder and Autism Spectrum Disorder, type 2 diabetes, presented with mood swings and suicidal thoughts, and anger outbursts occurring daily. The patient was referred by a psychiatrist due to irritability and outbursts during the previous 5 months. These outbursts were unable to be controlled by the medications prescribed, included yelling and screaming, and the patient was unable to speak with the psychiatrist. The patient underwent ketamine assisted psychotherapy with 6 initial IV infusions of ketamine over a 1 month period followed by 2 booster IV ketamine infusions. Following ketamine treatment, dramatic reductions in outbursts were observed as well as reductions in anxiety, suicidality, and depression scores. CONCLUSION: This case study adds to the scant literature regarding ketamine treatment for individuals with bipolar disorder and ASD. We did not find ASD to be a contraindication for IV ketamine and ketamine assisted psychotherapy. Reductions in anger outbursts, anxiety, suicidality, and depression suggest ketamine treatment might be tailored to individuals with bipolar disorder and ASD, and additional systematized research is warranted. Although potential mechanisms of action are not clear, these data add to the discussion regarding clinical practice considerations and the potential for ketamine to improve quality of life and associated metrics.

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4. Houben F, den Heijer CD, Dukers-Muijrers NH, Smeets-Peels C, Hoebe CJ. Perceived barriers and facilitators to infection prevention and control in Dutch residential care facilities for people with intellectual and developmental disabilities: a cross-sectional study. BMC Public Health;2024 (Mar 5);24(1):704.

BACKGROUND: Adequate implementation of infection prevention and control (IPC) in residential care facilities (RCFs) for people with intellectual and developmental disabilities (IDDs) is crucial to safeguarding this vulnerable population. Studies in this field are scarce. This study aimed to identify perceived barriers to and facilitators of IPC among professionals working in these settings, along with recommendations to improve IPC, to inform the development of targeted interventions. METHODS: We administered an online questionnaire to 319 professionals from 16 Dutch RCFs for people with IDDs (March 2021-March 2022). Perceived multilevel barriers and facilitators (guideline, client, interpersonal, organisational, care sector, and policy level) were measured on a 5-point Likert scale (totally disagree-totally agree). Recommendations were assessed using a 5-point Likert scale (not at all helpful-extremely helpful), supplemented by an open-ended question. Barriers, facilitators, and recommendations were analysed by descriptive statistics. Open answers to recommendations were analysed through thematic coding. RESULTS: Barriers to IPC implementation included the client group (e.g., lack of hygiene awareness) (63%), competing values between IPC and the home-like environment (42%), high work pressure (39%), and the overwhelming quantity of IPC guidelines/protocols (33%). Facilitators included perceived social support on IPC between professionals and from supervisors (90% and 80%, respectively), procedural clarity of IPC guidelines/protocols (83%), and the sense of urgency for IPC in the organisation (74%). Main recommendations included the implementation of clear IPC policies and regulations (86%), the development of a practical IPC guideline (84%), and the introduction of structural IPC education and training programmes (for new staff members) (85%). Professionals also emphasised the need for IPC improvement efforts to be tailored to the local care context, and to involve clients and their relatives. CONCLUSIONS: To improve IPC in disability care settings, multifaceted strategies should be adopted. Initial efforts should involve clients (and relatives), develop a practical and context-specific IPC guideline, encourage social support among colleagues through interprofessional coaching, reduce workload, and foster an IPC culture including shared responsibility within the organisation.

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5. Hu Y, Sun X, Yao C, Luo S, Liu B, Xue M, Lyu H. Object-centered family interactions for young autistic children: a diary study. Sci Rep;2024 (Mar 5);14(1):5460.

Autistic Children often struggle with social interaction and communication, studies have found that many of them prefer to interact with objects than people. However, there is a lack of research exploring the specific characteristics and factors involved in interactions within families with autistic children where objects are the center of the interaction. This paper describes the process and findings of a diary study exploring how young autistic children interact with their families through objects in natural scenarios. A one-week diary study was conducted with six families with young autistic children. Diary videos were recorded onsite and coded later according to a social interaction behavior scheme with corresponding diary entries. Qualitative data analysis was conducted to reveal possible patterns. Results revealed ongoing difficulties in establishing and maintaining family interaction and identified influential factors of object-centered family interaction. The most prevalent pattern observed was parents taking the lead in interactions, followed by the child’s confirmation response. Remarkably, daily necessities emerged as potential physical mediums for enhancing family interactions, opening avenues for exploring tangible designs in human-computer interaction. These findings offer valuable implications for future research and the development of innovative designs that promote enriching interactions for autistic children and their families.

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6. Jeong JH, Lee H, Kim D, Park E, Woo J, Cho Y, Keum G, Lee A, Kang T, Kim J, Choo H, Lee S, Jeon B. Identification of an Antagonist Targeting G Protein and β-Arrestin Signaling Pathways of 5-HT(7)R. ACS Chem Neurosci;2024 (Mar 6);15(5):1026-1041.

In consideration of the limited number of FDA-approved drugs for autism spectrum disorder (ASD), significant efforts have been devoted to identifying novel drug candidates. Among these, 5-HT(7)R modulators have garnered considerable attention due to their potential in alleviating autism-like behaviors in ASD animal models. In this study, we designed and synthesized biphenyl-3-ylmethylpyrrolidines 3 and biphenyl-3-yl-dihydroimidazoles 4 as 5-HT(7)R modulators. Through extensive biological tests of 3 and 4 in G protein and β-arrestin signaling pathways of 5-HT(7)R, it was determined that 2-(2′-methoxy-[1,1′-biphenyl]-3-yl)-4,5-dihydro-1H-imidazole 4h acted as a 5-HT(7)R antagonist in both signaling pathways. In in vivo study with Shank3(-/-) transgenic (TG) mice, the self-grooming behavior test was performed with 4h, resulting in a significant reduction in the duration of self-grooming. In addition, an immunohistochemical experiment with 4h restored reduced neurogenesis in Shank3(-/-) TG mice, which is confirmed by the quantification of doublecortin (DCX) positive neurons, suggesting the promising therapeutic potential of 4h.

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7. Jin X, Zhang K, Lu B, Li X, Yan CG, Du Y, Liu Y, Lu J, Luo X, Gao X, Liu J. Correction to: Shared atypical spontaneous brain activity pattern in early onset schizophrenia and autism spectrum disorders: evidence from cortical surface-based analysis. Eur Child Adolesc Psychiatry;2024 (Mar 6)

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8. Li S, Machida K, Burrows EL, Johnson KA. Quicker Exogenous Orienting and Slower Endogenous Orienting in Autistic People. J Autism Dev Disord;2024 (Mar 6)

Research is equivocal on whether attention orienting is atypical in autism. This study investigated two types of attention orienting in autistic people and accounted for the potential confounders of alerting level, co-occurring symptoms of attention-deficit/hyperactivity disorder (ADHD) and anxiety, age, and sex. Twenty-seven autistic participants (14 males; 9-43 years) and 22 age- and sex-matched non-autistic participants (13 males; 9-42 years) completed the exogenous and endogenous Posner tasks. Response time and pupillometric data were recorded. Autistic participants were faster at orienting attention to valid cues in the exogenous task and slower at disengaging from invalid cues in the endogenous task compared to non-autistic participants. With increasing age, autistic participants showed faster exogenous and endogenous orienting, whereas non-autistic participants showed faster exogenous orienting but stable speed of endogenous orienting. Higher ADHD symptoms were associated with slower exogenous orienting in both groups, whereas higher anxiety symptoms were associated with faster exogenous orienting only in autistic participants. No group differences were noted for alerting levels, sex, or pupillary responses. This study provides new evidence of superior exogenous orienting and inefficient endogenous orienting in autistic people and suggests that age and co-occurring symptoms are important to consider when assessing attention orienting in autism.

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9. Liang X, Haegele JA, Tse AC, Li M, Zhang H, Zhao S, Li SX. The impact of the physical activity intervention on sleep in children and adolescents with autism spectrum disorder: A systematic review and meta-analysis. Sleep Med Rev;2024 (Feb 23);74:101913.

Pharmacological treatments (i.e., melatonin) and non-pharmacological therapies (e.g., parent-based sleep education programs and behavioural interventions) have been found to result in improved sleep in children and adolescents with autism spectrum disorder (ASD). However, there are several limitations to these treatment approaches, including concerns about the possible side-effects and safety, high-cost and uncertainties of long-term effects. Physical activity (PA) intervention is a promising behavioural intervention that has received increasing attention. However, the effects of PA intervention on sleep are still unclear in this clinical group. This study aimed to synthesize available empirical studies concerning the effects of PA interventions on sleep in children and adolescents with ASD. Following PRISMA guidelines, seven electronic databases: APA PsychInfo, CINAHL Ultimate, ERIC, MEDLINE, PubMed, SPORTDiscus, and Web of Science, were searched from inception to March 2023. Randomized controlled trials/quasi-experimental designs with comparison groups were included. Initially, 444 articles were identified, 13 articles underwent systematic review, and 8 studies with control groups and sufficient statistical data were selected for meta-analysis. Compared to no-treatment control groups, PA interventions had a large positive effect on parent-reported general sleep problems, night awakenings, sleep resistance, sleep duration and actigraphy-assessed sleep efficiency in children and adolescents with ASD.

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10. Lin Y, Mason D, Hirsch C, Happé F. Intolerance of Uncertainty and Anxiety (but not Alexithymia) Mediate the Association Between Autistic Traits and Quality of Life. J Autism Dev Disord;2024 (Mar 6)

Previous research has indicated that autistic individuals report lower quality of life (QoL) than non-autistic people. It is unclear whether it is the autism traits themselves or co-occurring thinking styles or mental health difficulties that most impair QoL. This study tested a hypothesised model to explore how ‘intolerance of uncertainty’ (IU), alexithymia (difficulty in identifying and describing own emotions), and anxiety play into the association between autistic traits and QoL. Online survey data were analysed from 116 autistic and 51 non-autistic adults who completed six standardised questionnaires measuring autistic traits, alexithymia, IU, anxiety and QoL (physical health, psychological health, social relations, and environment domains). The autistic group reported higher scores for alexithymia, IU and anxiety, and lower scores for QoL across domains, compared to the non-autistic group. Across the entire sample, autistic traits, alexithymia, IU and anxiety were positively correlated with one another, and negatively related to the four domains of QoL. Finally, IU and anxiety partially serially mediated the pathways from autistic traits to physical health and environment domains of QoL, and fully mediated the pathways from autistic traits to psychological health and social relations domains of QoL, across the full sample. The lower QoL experienced by autistic people may be explained in part by the mediating effect of both IU and anxiety (but not alexithymia). This study highlights the need for evidence-based interventions to address both IU and anxiety to improve QoL for autistic people/those with high levels of autistic traits.

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11. Liu X, Sun X, Guo C, Huang ZF, Chen YR, Feng FM, Wu LJ, Chen WX. Untargeted urine metabolomics and machine learning provide potential metabolic signatures in children with autism spectrum disorder. Front Psychiatry;2024;15:1261617.

BACKGROUND: Complementary to traditional biostatistics, the integration of untargeted urine metabolomic profiling with Machine Learning (ML) has the potential to unveil metabolic profiles crucial for understanding diseases. However, the application of this approach in autism remains underexplored. Our objective was to delve into the metabolic profiles of autism utilizing a comprehensive untargeted metabolomics platform coupled with ML. METHODS: Untargeted metabolomics quantification (UHPLC/Q-TOF-MS) was performed for urine analysis. Feature selection was conducted using Lasso regression, and logistic regression, support vector machine, random forest, and extreme gradient boosting were utilized for significance stratification. Pathway enrichment analysis was performed to identify metabolic pathways associated with autism. RESULTS: A total of 52 autistic children and 40 typically developing children were enrolled. Lasso regression identified ninety-two urinary metabolites that significantly differed between the two groups. Distinct metabolites, such as prostaglandin E2, phosphonic acid, lysine, threonine, and phenylalanine, were revealed to be associated with autism through the application of four different ML methods (p<0.05). The alterations observed in the phosphatidylinositol and inositol phosphate metabolism pathways were linked to the pathophysiology of autism (p<0.05). CONCLUSION: Significant urinary metabolites, including prostaglandin E2, phosphonic acid, lysine, threonine, and phenylalanine, exhibit associations with autism. Additionally, the involvement of the phosphatidylinositol and inositol phosphate pathways suggests their potential role in the pathophysiology of autism.

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12. Quirke MB, Alexander D, Cassidy L, Walsh C, Masterson K, Hill K, Brenner M. Adolescents with Rett syndrome at critical care pathway junctures: Examining clinicians’ decision to initiate invasive long-term ventilation. Eur J Paediatr Neurol;2024 (Mar 6);49:113-119.

BACKGROUND: The initiation of invasive long-term ventilation (I-LTV) for an adolescent with Rett Syndrome (RTT) involves many serious bioethical considerations. In moving towards a more inclusive model of patient participation, transparency surrounding the main influencing factors around this decision is important. OBJECTIVE: We aimed to identify the main drivers influencing a clinician’s decision to support initiation of I-LTV for an adolescent with RTT. METHOD: We used an anonymous online vignette-based factorial survey. The survey was distributed internationally through eight professional multi-disciplinary organisations to reach clinicians working in paediatrics. RESULTS: We analysed 504 RTT vignettes completed by 246 clinicians using mixed effect regression modelling. The main three significant influencing factors identified were: parental agreement with the decision to support initiation, the family’s support network, and proximity to a tertiary care centre. Additional comments from participants focused on family support, and the importance of on-going communication with the family. CONCLUSION: As the rights of those with disabilities improve and participation of adolescents in decision-making becomes more established, effective communications with the family around goals of care and particular sensitivity and reflective practice around methods of consensus building will likely contribute to a positive decision-making process at this difficult time.

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13. Rubio-Martín S, García-Ordás MT, Bayón-Gutiérrez M, Prieto-Fernández N, Benítez-Andrades JA. Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing. Health Inf Sci Syst;2024 (Dec);12(1):20.

PURPOSE: The main aim of our study was to explore the utility of artificial intelligence (AI) in diagnosing autism spectrum disorder (ASD). The study primarily focused on using machine learning (ML) and deep learning (DL) models to detect ASD potential cases by analyzing text inputs, especially from social media platforms like Twitter. This is to overcome the ongoing challenges in ASD diagnosis, such as the requirement for specialized professionals and extensive resources. Timely identification, particularly in children, is essential to provide immediate intervention and support, thereby improving the quality of life for affected individuals. METHODS: We employed natural language processing (NLP) techniques along with ML models like decision trees, extreme gradient boosting (XGB), k-nearest neighbors algorithm (KNN), and DL models such as recurrent neural networks (RNN), long short-term memory (LSTM), bidirectional long short-term memory (Bi-LSTM), bidirectional encoder representations from transformers (BERT and BERTweet). We extracted a dataset of 404,627 tweets from Twitter users using the platform’s API and classified them based on whether they were written by individuals claiming to have ASD (ASD users) or by those without ASD (non-ASD users). From this dataset, we used a subset of 90,000 tweets (45,000 from each classification group) for the training and testing of these models. RESULTS: The application of our AI models yielded promising results, with the predictive model reaching an accuracy of almost 88% when classifying texts that potentially originated from individuals with ASD. CONCLUSION: Our research demonstrated the potential of using AI, particularly DL models, in enhancing the accuracy of ASD detection and diagnosis. This innovative approach signifies the critical role AI can play in advancing early diagnostic techniques, enabling better patient outcomes and underlining the importance of early identification of ASD, especially in children.

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14. Shrivastava T, Singh V, Agrawal A. Autism spectrum disorder detection with kNN imputer and machine learning classifiers via questionnaire mode of screening. Health Inf Sci Syst;2024 (Dec);12(1):18.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder. ASD cannot be fully cured, but early-stage diagnosis followed by therapies and rehabilitation helps an autistic person to live a quality life. Clinical diagnosis of ASD symptoms via questionnaire and screening tests such as Autism Spectrum Quotient-10 (AQ-10) and Quantitative Check-list for Autism in Toddlers (Q-chat) are expensive, inaccessible, and time-consuming processes. Machine learning (ML) techniques are beneficial to predict ASD easily at the initial stage of diagnosis. The main aim of this work is to classify ASD and typical developed (TD) class data using ML classifiers. In our work, we have used different ASD data sets of all age groups (toddlers, adults, children, and adolescents) to classify ASD and TD cases. We implemented One-Hot encoding to translate categorical data into numerical data during preprocessing. We then used kNN Imputer with MinMaxScaler feature transformation to handle missing values and data normalization. ASD and TD class data is classified using Support vector machine, k-nearest-neighbor (KNN), random forest (RF), and artificial neural network classifiers. RF gives the best performance in terms of the accuracy of 100% with different training and testing data split for all four types of data sets and has no over-fitting issue. We have also examined our results with already published work, including recent methods like Deep Neural Network (DNN) and Convolution Neural Network (CNN). Even using complex architectures like DNN and CNN, our proposed methods provide the best results with low-complexity models. In contrast, existing methods have shown accuracy upto 98% with log-loss upto 15%. Our proposed methodology demonstrates the improved generalization for real-time ASD detection during clinical trials.

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15. Skaletski EC, Barry K, Dennis E, Donnelly R, Huerta C, Jones A, Schmidt K, Kabakov S, Ausderau KK, Li JJ, Travers BG. Sensorimotor Features and Daily Living Skills in Autistic Children With and Without ADHD. J Autism Dev Disord;2024 (Mar 5)

Attention-deficit/hyperactivity disorder (ADHD) commonly co-occurs in autistic children. However, additional research is needed to explore the differences in motor skills and sensory features in autistic children with and without ADHD, as well as the impacts of these factors on daily living skills (DLS). This observational study sought to fill this gap with 67 autistic children (6.14-10.84 years-old), 43 of whom had ADHD. Autistic children with ADHD demonstrated higher sensory features and lower motor skills than autistic children without ADHD. In examining autism and ADHD features dimensionally, we found that overall sensory features, seeking, and hyporesponsiveness were driven by both autism and ADHD features, whereas motor skills, enhanced perception, and hyperresponsiveness were driven by only autism features. Additionally, in using these dimensional variables of autism and ADHD features, we found that differences in motor skills, sensory and autism features, but not ADHD features, impact DLS of autistic children, with autism features and motor skills being the strongest individual predictors of DLS. Together, these results demonstrate the uniqueness of motor skills and sensory features in autistic children with and without ADHD, as well as how autism features, sensory features, and motor skills contribute to DLS, emphasizing the importance of a comprehensive understanding of each individual and complexities of human development when supporting autistic children.

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16. Soumier A, Lio G, Demily C. Current and future applications of light-sheet imaging for identifying molecular and developmental processes in autism spectrum disorders. Mol Psychiatry;2024 (Mar 5)

Autism spectrum disorder (ASD) is identified by a set of neurodevelopmental divergences that typically affect the social communication domain. ASD is also characterized by heterogeneous cognitive impairments and is associated with cooccurring physical and medical conditions. As behaviors emerge as the brain matures, it is particularly essential to identify any gaps in neurodevelopmental trajectories during early perinatal life. Here, we introduce the potential of light-sheet imaging for studying developmental biology and cross-scale interactions among genetic, cellular, molecular and macroscale levels of circuitry and connectivity. We first report the core principles of light-sheet imaging and the recent progress in studying brain development in preclinical animal models and human organoids. We also present studies using light-sheet imaging to understand the development and function of other organs, such as the skin and gastrointestinal tract. We also provide information on the potential of light-sheet imaging in preclinical drug development. Finally, we speculate on the translational benefits of light-sheet imaging for studying individual brain-body interactions in advancing ASD research and creating personalized interventions.

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17. Xu H. Comment on « Preterm birth and weight-for-gestational age for risks of autism spectrum disorder and intellectual disability: A nationwide population-based cohort study ». J Formos Med Assoc;2024 (Mar 4)

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18. Zhang S, Yang J, Ji D, Meng X, Zhu C, Zheng G, Glessner J, Qu HQ, Cui Y, Liu Y, Wang W, Li X, Zhang H, Xiu Z, Sun Y, Sun L, Li J, Hakonarson H, Li J, Xia Q. NASP gene contributes to autism by epigenetic dysregulation of neural and immune pathways. J Med Genet;2024 (Mar 5)

BACKGROUND: Epigenetics makes substantial contribution to the aetiology of autism spectrum disorder (ASD) and may harbour a unique opportunity to prevent the development of ASD. We aimed to identify novel epigenetic genes involved in ASD aetiology. METHODS: Trio-based whole exome sequencing was conducted on ASD families. Genome editing technique was used to knock out the candidate causal gene in a relevant cell line. ATAC-seq, ChIP-seq and RNA-seq were performed to investigate the functional impact of knockout (KO) or mutation in the candidate gene. RESULTS: We identified a novel candidate gene NASP (nuclear autoantigenic sperm protein) for epigenetic dysregulation in ASD in a Chinese nuclear family including one proband with autism and comorbid atopic disease. The de novo likely gene disruptive variant tNASP(Q289X) subjects the expression of tNASP to nonsense-mediated decay. tNASP KO increases chromatin accessibility, promotes the active promoter state of genes enriched in synaptic signalling and leads to upregulated expression of genes in the neural signalling and immune signalling pathways. Compared with wild-type tNASP, tNASP(Q289X) enhances chromatin accessibility of the genes with enriched expression in the brain. RNA-seq revealed that genes involved in neural and immune signalling are affected by the tNASP mutation, consistent with the phenotypic impact and molecular effects of nasp-1 mutations in Caenorhabditis elegans. Two additional patients with ASD were found carrying deletion or deleterious mutation in the NASP gene. CONCLUSION: We identified novel epigenetic mechanisms mediated by tNASP which may contribute to the pathogenesis of ASD and its immune comorbidity.

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19. Zhao S, Cao R, Lin C, Wang S, Yu H. Differences in the link between social trait judgment and socio-emotional experience in neurotypical and autistic individuals. Sci Rep;2024 (Mar 5);14(1):5400.

Neurotypical (NT) individuals and individuals with autism spectrum disorder (ASD) make different judgments of social traits from others’ faces; they also exhibit different social emotional responses in social interactions. A common hypothesis is that the differences in face perception in ASD compared with NT is related to distinct social behaviors. To test this hypothesis, we combined a face trait judgment task with a novel interpersonal transgression task that induces measures social emotions and behaviors. ASD and neurotypical participants viewed a large set of naturalistic facial stimuli while judging them on a comprehensive set of social traits (e.g., warm, charismatic, critical). They also completed an interpersonal transgression task where their responsibility in causing an unpleasant outcome to a social partner was manipulated. The purpose of the latter task was to measure participants’ emotional (e.g., guilt) and behavioral (e.g., compensation) responses to interpersonal transgression. We found that, compared with neurotypical participants, ASD participants’ self-reported guilt and compensation tendency was less sensitive to our responsibility manipulation. Importantly, ASD participants and neurotypical participants showed distinct associations between self-reported guilt and judgments of criticalness from others’ faces. These findings reveal a novel link between perception of social traits and social emotional responses in ASD.

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