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aimed to analyze research on epilepsy in autism and autism in epilepsy using VOSviewer and CiteSpace to identify research hotspots and future directions. Methods: We searched the Web of Science Core Collection (WoSCC) for relevant studies about epilepsy in autism and autism in epilepsy published from inception to 31 May 2022. VOSviewer and CiteSpace were used to analyze the authors, institutions, countries, publishing journals, reference co-citation patterns, keyword co-occurrence, keyword clustering, keywords with citation bursts, and other aspects to construct a knowledge atlas. Results: A total of 473 publications related to epilepsy/autism were retrieved. The number of publications about epilepsy/ASD has generally increased over time, with some fluctuations. The USA (202 papers) and University of California-Los Angeles (15 papers) were the leading country and institution, respectively, in this field. Frye, Richard E. was the most published author (9 papers). Notably, collaboration between institutions, countries, and authors does not appear to be active. Hot topics and research frontiers include intellectual disability and exploring the mechanism of epilepsy/ASD from a genetics perspective. Conclusion: This analysis identified the most influential publications, authors, journals, institutions, and countries in the field of epilepsy/ASD research. Using co-occurrence and evolution analyses, the status of the field was identified and future trends were predicted. [ABSTRACT FROM AUTHOR]

This research used an alternating treatment design to investigate the relative effectiveness of participant specific social stories delivered using two distinct formats (i.e., technology-based, paper/book), on increasing the frequency of initiations and responses of two adolescents with ASD. Visual analysis of baseline, intervention, maintenance, and generalization data results indicated the intervention increased the frequency of initiations and on-topic responses regardless of delivery format; however, calculation of Percentage of Nonoverlapping Pairs and TAU-U for both formats indicated variable levels of effectiveness for each condition, with ranges of 43–86% and 0.02381–0.76190 respectively. Finally, despite varied results, both participants preferred the technology-based social story format and parents of both participants agreed the social story intervention increased communicative skills. [ABSTRACT FROM AUTHOR]

Background: In recent years, a significant proportion of inpatient facilities for people with intellectual disabilities and/or autism has been de-commissioned in England, This has resulted in individuals with intellectual disabilities being sent to distant hospitals far away from their families and carers leading to challenges in follow-up, community care and interventions. The impact of de-institutionalisation, has often caused patient trauma, family distress and subsequent discharge difficulties. Not every individual with intellectual disabilities and/or autism requires inpatient care but inpatient care when needed has to be local, adequate and appropriate. Aims: To evaluate current evidence of utility of inpatient models for people with intellectual disabilities and outline best clinical practice. Method: PubMed, CINAHL, EMBASE, Cochrane Library, Scopus, Web of Science were searched with key search terms. The search was conducted by the information specialist and identified abstracts screened further for inclusion criteria, methodological issues, and other appropriate characteristics. Twenty-three papers were included in the rapid review. Papers shortlisted had the inclusion criteria applied against the full text version independently by two reviewers. Disagreements regarding eligibility of studies was resolved by discussion and consensus within the project team. Key data related to in-patient models of care was extracted from the included papers, which included year of study, design, study objectives, target population, method/s tested, outcomes reported, country of study/studies, and results. Data extraction was performed by two reviewers and reviewed by the project team. Results: From the review of services for people with intellectual disabilities, we came across four broad models/frameworks/approaches. Evidence on what worked for inpatient service provision tended to be based on models developed and implemented locally. Conclusions: We make recommendations for the best clinical practice and standards. Both clinical service providers and policymakers need to be aware of specific needs of individuals with intellectual disability and/or autism. [ABSTRACT FROM AUTHOR]

Lay abstracts are brief descriptions or summaries of research that are targeted at a general audience. They are held as an important means for the research community to provide greater transparency to the general public and to increase visibility of the pertinent research. This study aims to examine the extent to which lay abstracts published in the journal Autism are comprehensible to a lay audience in terms of readability measures. Results showed that lay abstracts published in Autism were more readable than their corresponding abstracts but were less readable than plain English texts (e.g. news reports). To our knowledge, this is probably the first comparative study on the readability of lay abstracts. Possible explanations for and implications of these findings were offered. Research papers are sometimes hard to follow. Lay abstracts give a short account of research papers. However, it is unclear whether lay abstracts are readable to the lay people. This study examined the readability of 570 abstracts and lay abstracts published between 2020 and 2022 in the journal Autism. We found that that lay abstracts are easier to read than abstracts but are harder to read than news reports. The findings suggest that lay abstracts, on average, are hard to read for the lay people. We propose that the journal and its authors may invite reviewers from outside the research community to test whether a lay abstract is readable. [ABSTRACT FROM AUTHOR]

An ability to create good graphic output requires effective transitive movements related to the use of a tool, e.g., a pen. There is evidence that individuals with autism spectrum disorder (ASD) and neurotypicals show differences in graphic skill. Such differences can be due to anomalies in one's transitive movements. One needs to quantify such differences through indices e.g., those related to pen-tip pressure and temporal aspects. To study such indices, researchers are shifting their focus to use of digital medium, e.g., pressure tablets from the pen-and-paper based settings for which acquiring these indices might be a challenge. Though pressure tablets have been used by various research groups for graphic execution by individuals with ASD, none have explored these indices for a spiral drawing task that needs precision of performance and is more difficult than drawing of simple shapes. In our present work, we have designed a digitized dot-guided spiral (DDoS) drawing platform offering clockwise spiral drawing task. We chose the clockwise spiral since individuals with ASD may demonstrate torque i.e., a tendency to draw shapes in the clockwise direction. Results of our study with 20 individuals with ASD and 17 typically developing individuals using DDoS platform indicated that for a clockwise spiral drawing, the pen-tip pressure and temporal indices were differentiated among the two participant groups. The indices offered by DDoS platform can provide information to the caregivers and therapists while assisting in identifying deficits and designing individualized intervention, that can benefit the children. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to outline the process of developing a new co-produced virtual group support programme called Positive Family Connections (PFC) aimed at family carers of children with a learning disability, or who are autistic, aged between 8 and 13 years. Design/methodology/approach: Development process: family carers were recruited to develop PFC prior to a feasibility randomised controlled trial being conducted (not reported in this paper). The programme was positively oriented and family systems-focused. PFC was developed by family carers, along with the research team, and designed to be delivered by family carer facilitators. The development process included several meetings to design the format and content of the programme. An initial pilot was then delivered and further amendments made to the programme in response to the pilot participants' feedback. Findings: The programme: the co-produced PFC programme involved attending six weekly sessions on Zoom; each 2-h session focused on different themes (e.g. communication and activities). Research limitations/implications: Reflections on the co-production process: key ingredients of co-production included ensuring clarity on roles, positive communication and understanding of the family carers' situation and utilising the varied skills family carers can bring to research and practise. Originality/value: This is the first family systems-focused programme that the authors know of, that has been co-produced with family carers and solely delivered virtually by trained family carer facilitators from the outset. [ABSTRACT FROM AUTHOR]

The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has dramatically transformed the landscape of medical diagnosis. People often exhibit fear and apprehension towards conditions they lack understanding of, and ASD being a complex affliction, poses challenges in comprehending its intricacies. Researchers have harnessed AI applications to improve the precision of disease diagnosis by utilizing Magnetic Resonance Imaging (MRI), Electroencephalography (EEG), genetic, sociodemographic, and medical data. However, the development of AI systems for early diagnosis and triage in healthcare is still in its nascent stages. In particular, studies have revealed a global increase in the prevalence of ASD, with an estimated 1 in 59 children being diagnosed. However, there is a lack of up-to-date information regarding the current status of ASD. This study aims to provide a systematic review of AI applications in early diagnosis and triage for ASD, supplementing the findings of previous studies and offering a comprehensive overview of the evidence. To achieve this, a rigorous literature search method and selection criteria were employed, resulting in the identification of 46 recent contributions on the applications of AI in ASD from various databases, including ScienceDirect (SD), IEEE Xplore digital library (IEEE), Web of Science (WOS), PubMed, and Scopus. The selected papers were categorized into three main categories: ASD triage levels, clinical diagnosis for ASD, and diagnosis based on telemedicine, with further subcategories under the clinical diagnosis category. Theoretical and practical aspects of AI methods used for ASD diagnosis, as well as the presentation utilizing data analytics, were presented. The paper presents a systematic and comprehensive analysis of previous studies, examining the challenges, motivations, and recommendations, thereby paving the way for potential future research. Additionally, the work provides decisive evidence for the use of AI in ASD healthcare diagnosis and triage, offering nine critical analyses of the current state-of-the-art and addressing relevant research gaps. To the best of our knowledge, this study is innovative in exploring the feasibility of using AI in ASD medical diagnosis and triage. It highlights essential pieces of information, including Explainable AI (XAI), Auto machine learning (AutoML), Internet of Things (IoT)-based AI, robot-assisted therapy-based AI, telemedicine, data fusion techniques, and available ASD datasets with different aspects. The analysis of the revised contributions reveals crucial implications for academics and practitioners. The paper also proposes potential methodological aspects to enhance the triage and prioritization of autistic patients using AI applications in the medical sector, as well as addressing theoretical and practical application aspects and five methodology phases using fuzzy Multi-Criteria Decision Making (MCDM) methods in ASD triage and prioritization. [ABSTRACT FROM AUTHOR]

In this paper I, as an autistic actor-trainer who was once an autistic student-actor, explore some of the access issues faced by autistic student-actors. I look at the practices commonly taught on actor-training programmes, and uncover what exclusionary 'dominant narratives' they hold, and why these create issues for autistic students. This paper focuses specifically on the example of empathy, asking how it is used within the practices of Stanislavski and Meisner, among others. This research moves away from the deficit model of autism. Instead, I look to autistic experience – my own and that of others – to investigate what acknowledging, welcoming, and maximising upon these experiences can contribute to these actor-training practices. The result is an example adaptation, where I reframe actor-training exercises to be more accessible for autistic students and consider what benefits these changes might have for all actors within the space. This paper is timely as it follows on from other research into training actors with dyslexia and dyspraxia, and moves to address the absence of writing on training autistic actors. By positioning itself within the neurodiversity paradigm it questions what contributions autistic experience could make to the field of actor-training, if disabling barriers were removed. [ABSTRACT FROM AUTHOR]

We recently read the interesting and informative paper entitled "Empathic accuracy and cognitive and affective empathy in young adults with and without autism spectrum disorder" (McKenzie et al. in Journal of Autism and Developmental Disorders 52: 1–15, 2021). This paper expands recent findings from our lab (Ben-David in Journal of Autism and Developmental Disorders 50: 741-756, 2020a; International Journal of Audiology 60: 319–321, 2020b) and a recent theoretical framework (Icht et al. in Autism Research 14: 1948–1964, 2021) that may suggest a new purview for McKenzie et al.'s results. Namely, these papers suggest that young adults with autism spectrum disorder without intellectual disability can successfully recruit their cognitive abilities to distinguish between different simple spoken emotions, but may still face difficulties processing complex, subtle emotions. McKenzie et al. (Journal of Autism and Developmental Disorders 52: 1–15, 2021) extended these findings to the processing of emotions in video clips, with both visual and auditory information. [ABSTRACT FROM AUTHOR]

Autism and neurodiversity are key topics in current public debate and in the social sciences. A vast multidisciplinary literature has explored spatial dimensions of neurodiversity, particularly by analyzing autistic experiences in private and public spaces and the design of autistic-friendly environments. Building on this literature and by presenting my personal experience as the father of an autistic child, this paper explores connections between critical urban studies and the social and political dimensions of neurodiversity. Focusing on different meanings, positions, and discourses shaping autistic experiences and neurodivergent identities in the capitalist city, the paper draws on the notions of 'queering' and 'cripping' autism. Lastly, the paper presents four tentative propositions about autistic cities, with two goals in mind: imagining more just, liveable and empowering cities, and suggesting that critical urban studies can themselves be stimulated by the encounter with neurodiversities. [ABSTRACT FROM AUTHOR]

This article traces the origin, sustenance and implications of a persistent rumour that is responsible for low measles mumps and rubella (MMR) vaccination uptake in the Somali diaspora in a number of countries across the globe. The rumour stipulates that the MMR vaccine – the silent shot – causes autism spectrum disorder (ASD). Although the association between MMR and ASD is non-causal, and various public health initiatives have promoted health information campaigns, the rumour continues to circulate in the Somali diaspora in many countries, including Sweden. This paper shows that there are valid reasons for this. The findings from this paper draw on a systematic scoping review and qualitative interview data from Sweden. The results show that the Somali community experiences higher than average rates of ASD compared to the general population. Moreover, ASD does not exist in the Somali language or their home country, is considered a Western disease that only affects Somali children in the diaspora, and is a highly stigmatised disease. Also, the Somali diaspora has had negative experiences with ASD diagnosis and care. The rumour has been sustained by the absence of an answer to their ASD fear and through active diaspora networks on social media. The network that surrounds the rumour has arguably further helped to create an epistemic community for a community whose concerns have been silenced. [ABSTRACT FROM AUTHOR]

Discussions surrounding early years' theorist Piaget's philosophy of learning schema styles and their potential impact upon children with a diagnosis of Autism Spectrum Disorder will be highlighted within this position paper. Furthermore, this paper will also focus on the need for a Schematic Driven Pedagogy implementation to connect both additional learning needs and early years pedagogies by exploring relevant literature within this field. The conclusions drawn from the most current literature suggests that a specific schema curriculum implementation designed for individual schemas could potentially provide many benefits for autistic children. Potential benefits explored within this paper include improvement within some social skills through the exploration of play-based situations adapted to individual schemas. [ABSTRACT FROM AUTHOR]

Autism is a neurodevelopmental condition, behaviourally identified, which is generally characterised by social communication differences, and restrictive and repetitive patterns of behaviour and interests. It has long been claimed that it is more common in males. This observed preponderance of males in autistic populations has served as a focussing framework in all spheres of autism-related issues, from recognition and diagnosis through to theoretical models and research agendas. One related issue is the near total absence of females in key research areas. For example, this paper reports a review of over 120 brain-imaging studies of social brain processes in autism that reveals that nearly 70% only included male participants or minimal numbers (just one or two) of females. Authors of such studies very rarely report that their cohorts are virtually female-free and discuss their findings as though applicable to all autistic individuals. The absence of females can be linked to exclusionary consequences of autism diagnostic procedures, which have mainly been developed on male-only cohorts. There is clear evidence that disproportionately large numbers of females do not meet diagnostic criteria and are then excluded from ongoing autism research. Another issue is a long-standing assumption that the female autism phenotype is broadly equivalent to that of the male autism phenotype. Thus, models derived from male-based studies could be applicable to females. However, it is now emerging that certain patterns of social behaviour may be very different in females. This includes a specific type of social behaviour called camouflaging or masking, linked to attempts to disguise autistic characteristics. With respect to research in the field of sex/gender cognitive neuroscience, there is emerging evidence of female differences in patterns of connectivity and/or activation in the social brain that are at odds with those reported in previous, male-only studies. Decades of research have excluded or overlooked females on the autistic spectrum, resulting in the construction of inaccurate and misleading cognitive neuroscience models, and missed opportunities to explore the brain bases of this highly complex condition. A note of warning needs to be sounded about inferences drawn from past research, but if future research addresses this problem of male bias, then a deeper understanding of autism as a whole, as well as in previously overlooked females, will start to emerge. Plain Language Summary: Autism is a neurodevelopmental condition, behaviourally identified, which is generally characterised by social communication differences, and restrictive and repetitive patterns of behaviour and interests. It has long been claimed that it is more common in males, with oft-quoted ratios of 4M: 1F. This has been reflected in the development of diagnostic criteria for autism and, consequently, of measures of eligibility for autism research programmes, with females being (as is now emerging) disproportionately excluded. As outlined in this review, this issue has been particularly problematic in brain-based studies of autism. Many studies have only tested male autistic participants, or minimal numbers of autistic females. By default, sex differences were not examined. But the impression given by such research reports has commonly been that the findings would be applicable to all autistic individuals. Recent psychological and clinical research has shown that there are a significant number of autistic females who have been missed by traditional diagnostic practices. Their inclusion has increased their eligibility for autism research studies. With respect to brain research, it has become possible to devise studies with matched numbers of autistic females and males, and to replicate studies that have previously only tested males. Newly emerging findings from such studies are demonstrating that the 'robust' autism-related differences previously observed in autistic male-only cohorts do not fully generalise to autistic females. It will be necessary to exercise caution in drawing inferences from previous male-biased studies of the autistic brain. However, the identification and inclusion of previously excluded female autistic participants hopefully offers more accurate insights into this highly complex and heterogeneous condition. Highlights: Several decades of neuroimaging research into autism has been based almost entirely on males; even big data sets show strong evidence of male bias. There is clear evidence that autistic females are being excluded from the research process by failures in diagnostic practices that have been developed on male-biased cohorts. Models of autism which inform research protocols are based on male autism phenotypes; it appears to have been assumed that the substantially fewer females that are diagnosed will present with equivalent, if milder, patterns of autistic differences. Newly emerging findings from social cognitive neuroscience research studies investigating sex/gender differences in autistic behaviour and associated biological correlates are demonstrating that the 'robust' autism-related differences previously observed in autistic male-only cohorts do not fully generalise to autistic females. Autism research programmes should prioritise the exploration of sex/gender effects. [ABSTRACT FROM AUTHOR]

The plan of the paper is to study autism spectrum disorder (ASD) in children as complex conditions that affect cognitive, emotional, social, and physical health. Broadly tracing the medical journey of the condition, it addresses the challenges faced by parents as they make sense of, and navigate their way through the appearance of early symptoms, impediments in correct diagnosis, acceptance, and adapt to live with the condition. The paper attempts to understand autism in medical and neurological terms, as well as the challenges faced by children and parents through the case study of Kyari (meaning a flower bed), a lone centre providing accessible autism care in about 150 km around Moradabad (west UP, India), which has been instrumental in raising an awareness of autism and has a reach that is unprecedented in the city in bringing sensitive autism intervention. It further comprehensively studies the symptoms of ASD, and the role of augmentative and alternative communication, behaviour modification, and the work of organisations like the Centre for Autism, CBSE mandate for inclusive education as applied in the case and Indian government policy for autism. [ABSTRACT FROM AUTHOR]

Background: Video‐based interventions (VBIs) are an approach that can be used to promote social behavioural skills for autistic children and young people. Despite an abundance of literature in this area, previous evidence syntheses are limited by their exclusive search strategies and eligibility criteria. Therefore, there is a lack of comprehensive evidence syntheses to provide insight on whether these interventions work, for whom, and in what circumstances. Evidence and Gap Maps (EGMs) are used to collate vast literature on a broad topic area such as this, highlighting areas for synthesis, and identifying gaps for future research. Objectives: To identify, map and synthesise existing primary research on VBIs promoting social behavioural skills for autistic children and young people, creating a live, searchable and publicly available EGM. Search Methods: Searches were conducted in electronic databases (n = 8), web search engines, and other repositories including published papers and grey literature. The search strategy was developed around two concepts including (1) terms related to autism, and (2) terms related to VBIs. Searches were conducted in May 2021. Selection Criteria: All primary studies evaluating the effectiveness of VBIs in promoting social behaviours for autistic children and young people aged 3–18 were included in the EGM. Data Collection and Analysis: Search results were imported into Eppi‐Reviewer where duplicates of identical studies were removed. Titles and abstracts were then screened by two independent reviewers. Potentially eligible full texts were located and also screened by two reviewers. Data were then extracted on study design, participant characteristics, type of intervention, type of outcome, and country of study, by one of three reviewers. EPPI‐Mapper was used to create the interactive EGM. Main Results: The current EGM contains 438 studies reporting on 394 single subject research designs, 25 randomised controlled trials, 15 non‐randomised group designs, and 8 pretest–posttest designs. Included studies evaluated VBIs in all male (n = 238), mixed gender (n = 172) or all female (n = 17) samples. VBIs employed included video modelling (n = 273), video self‐modelling (n = 82), point‐of‐view modelling (n = 61), video prompting (n = 57), video feedback (n = 12) and computer‐based video instruction (n = 4). The most frequently used models were adults (n = 191) and peers (n = 135). In relation to social outcomes, almost half evaluated social engagement (n = 199) with limited studies looking at safety (n = 9) and community (n = 7) skills. Authors' Conclusions: This EGM provides a valuable resource for policy‐makers, practitioners, researchers, funders and members of the public to access evidence on VBIs promoting social behavioural skills in autistic children and young people. The map has identified areas of sufficient research where evidence can undergo synthesis. In addition, important gaps in the evidence were highlighted and suggest further research is warranted in all female samples and less frequently evaluated types of VBIs and social outcomes. Evidence included in this EGM will be further explored via systematic review and meta‐analysis on control group designs. [ABSTRACT FROM AUTHOR]

Epigenetics plays a crucial role in various clinical diseases, such as autism, by mediating the impact of environmental variables on genomic regulation. Autism spectrum disorder (ASD) is a neurological disorder influenced by both genetic and environmental factors that affect the developing brain. DNA methylation, histone tail modifications, and noncoding RNA activity can change the function of genes without altering nucleotide sequences. Genes and environment combine to produce the etiology of ASD. One of the main areas of ASD research now being studied is the effects of epigenetic factors on gene expression, such as DNA methylation. Autistic patients exhibit evidence of oxidative stress and impaired methylation, which may reflect the effects of toxic exposure on sulfur metabolism that may lead to cellular damage in the brain and altered expression of epigenetic genes. This review paper summarizes the findings of the supplementary therapy studies of ASD, showing that supplements, including B9, B12, B6, D, E, C, glutathione, omega-3, and choline, are highly effective in modifying methylation in autism, improving many nutrient and metabolic problems, and resulting in significant improvements in symptoms. [ABSTRACT FROM AUTHOR]

Autism is a neurodevelopmental disorder, the prevalence of which has increased dramatically in the United States over the past two decades. It is characterized by stereotyped behaviors and impairments in social interaction and communication. In this paper, we present evidence that autism can be viewed as a PIN1 deficiency syndrome. Peptidyl‐prolyl cis/trans isomerase, NIMA‐Interacting 1 (PIN1) is a peptidyl‐prolyl cis/trans isomerase, and it has widespread influences in biological organisms. Broadly speaking, PIN1 deficiency is linked to many neurodegenerative diseases, whereas PIN1 over‐expression is linked to cancer. Death‐associated protein kinase 1 (DAPK1) strongly inhibits PIN1, and the hormone melatonin inhibits DAPK1. Melatonin deficiency is strongly linked to autism. It has recently been shown that glyphosate exposure to rats inhibits melatonin synthesis as a result of increased glutamate release from glial cells and increased expression of metabotropic glutamate receptors. Glyphosate's inhibition of melatonin leads to a reduction in PIN1 availability in neurons. In this paper, we show that PIN1 deficiency can explain many of the unique morphological features of autism, including increased dendritic spine density, missing or thin corpus callosum, and reduced bone density. We show how PIN1 deficiency disrupts the functioning of powerful high‐level signaling molecules, such as nuclear factor erythroid 2‐related factor 2 (NRF2) and p53. Dysregulation of both of these proteins has been linked to autism. Severe depletion of glutathione in the brain resulting from chronic exposure to oxidative stressors and extracellular glutamate leads to oxidation of the cysteine residue in PIN1, inactivating the protein and further contributing to PIN1 deficiency. Impaired autophagy leads to increased sensitivity of neurons to ferroptosis. It is imperative that further research be conducted to experimentally validate whether the mechanisms described here take place in response to chronic glyphosate exposure and whether this ultimately leads to autism. [ABSTRACT FROM AUTHOR]

While the needs and care for children on the autism spectrum have been widely investigated, the intervention and services available to autistic adults have been overlooked for a long time. This survey paper reviewed 32 articles that described and evaluated assistive technologies that have been developed and evaluated through a complete circle of interactive product design from ideation, prototype, and user evaluation. These assistive technologies aim to improve independence and living quality in autistic adults. We extracted information from the perspective of requirement gathering, technology designing, and effectiveness of evaluation in the design cycle. We found a general lack of requirements-driven design, and the evaluation process was not standardized either. The lack of requirement gathering results in designs purely based on existing literature without targeting actual user needs. Our synthesis of included paper contributes to developing iterative design considerations in assistive technologies for autistic adults. We also suggest that assistive technologies for autistic adults shift some attention from assisting only autistic adults who require at least substantial support to embracing also those who have been living independently but rather have difficulties in social interaction. Assistive technologies for them have the potentials to help them consolidate and enhance their experiences in independent living. [ABSTRACT FROM AUTHOR]

One of the most challenging problems when diagnosing autism spectrum disorder (ASD) is the need for long sets of data. Collecting data during such long periods is challenging, particularly when dealing with children. This challenge motivates the investigation of possible classifiers of ASD that do not need such long data sets. In this paper, we use eye-tracking data sets covering only 5 s and introduce one metric able to distinguish between ASD and typically developed (TD) gaze patterns based on such short time-series and compare it with two benchmarks, one using the traditional eye-tracking metrics and one state-of-the-art AI classifier. Although the data can only track possible disorders in visual attention and our approach is not a substitute to medical diagnosis, we find that our newly introduced metric can achieve an accuracy of 93 % in classifying eye gaze trajectories from children with ASD surpassing both benchmarks while needing fewer data. The classification accuracy of our method, using a 5 s data series, performs better than the standard metrics in eye-tracking and is at the level of the best AI benchmarks, even when these are trained with longer time series. We also discuss the advantages and limitations of our method in comparison with the state of the art: besides needing a low amount of data, this method is a simple, understandable, and straightforward criterion to apply, which often contrasts with "black box" AI methods. [ABSTRACT FROM AUTHOR]

This paper represents a sociological approach to autism spectrum disorder that critiques the terms neurodiverse and it obverse, neurotypical, because they promote a cognitive approach that mystifies what is actual and real about human activity in everyday life. It is in dynamic interactional practices rather than putative cognitive states that human diversity is manifest or observable. The empirical part of the paper, following Bleuler, defines and examines “autistic talk” as a turning away from the ordinary social world or commonsense “reality,” and engaging self‐oriented practices and orientations. However, the range of participants who produce such talk is not confined to those on the putative autism spectrum. Rather, that range encompasses the entire human span. If so, then a question is raised about what autism is as a “condition,” which term individualizes social difficulties rather than appreciating that they are always about diverse social actions‐in‐interaction. [ABSTRACT FROM AUTHOR]

Early detection and diagnosis of Autism Spectrum Disorder (ASD) can significantly improve the quality of life for affected individuals. Identifying ASD based on brain functional connectivity (FC) poses a challenge due to the high heterogeneity of subjects’ fMRI data in different sites. Meanwhile, deep learning algorithms show efficacy in ASD identification but lack interpretability. In this paper, a novel approach for ASD recognition is proposed based on graph attention networks. Specifically, we treat the region of interest (ROI) of the subjects as node, conduct wavelet decomposition of the BOLD signal in each ROI, extract wavelet features, and utilize them along with the mean and variance of the BOLD signal as node features, and the optimized FC matrix as the adjacency matrix, respectively. We then employ the self-attention mechanism to capture long-range dependencies among features. To enhance interpretability, the node-selection pooling layers are designed to determine the importance of ROI for prediction. The proposed framework are applied to fMRI data of children (younger than 12  years old) from the Autism Brain Imaging Data Exchange datasets. Promising results demonstrate superior performance compared to recent similar studies. The obtained ROI detection results exhibit high correspondence with previous studies and offer good interpretability. [ABSTRACT FROM AUTHOR]

Background: Neurodevelopmental conditions such as intellectual disability (ID) and autism spectrum disorder (ASD) can stem from a broad array of inherited and de novo genetic differences, with marked physiological and behavioral impacts. We currently know little about the psychiatric phenotypes of rare genetic variants associated with ASD, despite heightened risk of psychiatric concerns in ASD more broadly. Understanding behavioral features of these variants can identify shared versus specific phenotypes across gene groups, facilitate mechanistic models, and provide prognostic insights to inform clinical practice. In this paper, we evaluate behavioral features within three gene groups associated with ID and ASD – ADNP, CHD8, and DYRK1A – with two aims: (1) characterize phenotypes across behavioral domains of anxiety, depression, ADHD, and challenging behavior; and (2) understand whether age and early developmental milestones are associated with later mental health outcomes. Methods: Phenotypic data were obtained for youth with disruptive variants in ADNP, CHD8, or DYRK1A (N = 65, mean age = 8.7 years, 40% female) within a long-running, genetics-first study. Standardized caregiver-report measures of mental health features (anxiety, depression, attention-deficit/hyperactivity, oppositional behavior) and developmental history were extracted and analyzed for effects of gene group, age, and early developmental milestones on mental health features. Results: Patterns of mental health features varied by group, with anxiety most prominent for CHD8, oppositional features overrepresented among ADNP, and attentional and depressive features most prominent for DYRK1A. For the full sample, age was positively associated with anxiety features, such that elevations in anxiety relative to same-age and same-sex peers may worsen with increasing age. Predictive utility of early developmental milestones was limited, with evidence of early language delays predicting greater difficulties across behavioral domains only for the CHD8 group. Conclusions: Despite shared associations with autism and intellectual disability, disruptive variants in ADNP, CHD8, and DYRK1A may yield variable psychiatric phenotypes among children and adolescents. With replication in larger samples over time, efforts such as these may contribute to improved clinical care for affected children and adolescents, allow for earlier identification of emerging mental health difficulties, and promote early intervention to alleviate concerns and improve quality of life. [ABSTRACT FROM AUTHOR]

Background: Education should be inclusive, nurturing each individual's potential, talents, and creativity. However, criticisms have emerged regarding support for autistic learners, particularly in addressing disproportionately high absence levels within this group. The demand for accessible, person-centered, neuro-affirming approaches is evident. This paper provides a program description of a structured absence support framework, developed and implemented during and following the Covid-19 pandemic. We detail creation, content, and implementation. Methods: We collaborated with stakeholders, reviewed literature and drew on existing theoretical frameworks to understand absence in autistic learners, and produced draft guidance detailing practical approaches and strategies for supporting their return to school. The final resource was disseminated nationally and made freely available online with a supporting program of work around inclusive practices. Results: The resource is rooted in neuro-affirming perspectives, rejecting rewardbased systems and deficit models of autism. It includes key messages, case studies and a planning framework. It aims to cultivate inclusive practices with an autisminformed lens. The principles promoted include recognizing the child's 24-hour presentation, parental partnership, prioritizing environmental modifications, and providing predictable, desirable and meaningful experiences at school. Feedback to date has been positive in terms of feasibility, face validity, and utility. Conclusion: This novel, freely available resource provides a concise, practical framework for addressing absence in autistic learners by cultivating a more inclusive, equitable, and supportive educational system in which autistic individuals can thrive. [ABSTRACT FROM AUTHOR]

Background Aims Methods and procedures Outcomes and results Conclusions and implications What this paper adds What is already known on the subject What this paper adds to existing knowledge What are the potential or actual clinical implications of this work? In typically developing (TD) children, gesture emerges around 9 months of age, allowing children to communicate prior to speech. Due to the important role gesture plays in the early communication of autistic and TD children, various tasks have been used to assess gesture ability. However, few data exist on whether and how tasks differentially elicit gesture, particularly for samples of racially and ethnically diverse autistic children.In this study, we explored if task (a naturalistic parent–child interaction [NPCI]; structured assessment of child communication) differentially elicited rate or type of gesture production for young autistic children.This secondary analysis included baseline data from 80 racially and ethnically diverse autistic children aged 18–59 months who participated in one of two larger studies. Video recordings of NPCIs and an assessment of child communication with standardised administration procedures were collected at baseline. Child gesture rate (number of gestures produced per 10 min) and type were extracted from these recordings and analysed.The structured assessment elicited more gestures than the NPCI. In terms of gesture type, points, gives, and reaches accounted for 76% of child gestures. Points (which are developmentally more advanced than reaches and gives) were produced at the highest rates within book exploration. Distal points (which are more developmentally advanced than proximal or contact points) were produced at the highest rates when children were tempted to request.Our findings indicate elicitation tasks differentially elicit type and rate of gesture for young autistic children. To assess the gesture production of young autistic children, a structured task designed to elicit child requests will probe the developmental sophistication of the child's gesture repertoire, eliciting both the most gestures and the most developmentally advanced gestures. Because of the importance of gesture in early communication for autistic and typically developing children, various tasks have been used to assess it. However, little is known about whether tasks differentially elicit type or rate of gesture for young autistic children from diverse racial and ethnic backgrounds. Elicitation tasks differentially elicit type and rate of gesture for young autistic children in the early stages of gesture. We recommend a structured task designed to elicit child requests to assess the developmental sophistication of a child's gesture repertoire. [ABSTRACT FROM AUTHOR]

This paper considers current workforce issues facing psychological professionals working in NHS services, examining the challenges, and identifying opportunities to better meet the needs of autistic people and people with an intellectual disability (PwID) across the lifespan. The aim of this paper is to identify and publicly articulate the need for a coherent approach to guide the practice of psychological professionals when helping autistic people and/or PwID. It should be noted that the scope of the paper is limited to autism and intellectual disability. In addressing these broad groups and their co-occurring conditions and needs, we anticipate that many principles could be applied to other neurodevelopmental conditions. We also note the significant potential challenges in linking intellectual disability and autistic populations, hence have attempted – in drawing together a working group to write this paper – to ensure representation from a range of psychological professionals including those in policy, leadership, and training roles, those working in specialist or generic mental health services and undertaking clinical research across the lifespan. Objectives: ■ To help define and support clear action so that all sectors welcome and adequately support people with neurodevelopmental differences, including autistic people and/or PwID. ■ To play a role in the development, planning and evaluation of new psychological professions roles such as the Clinical Associates in Psychology (CAPS) and Education Mental Health Practitioners (EMHPs). ■ To reflect on the obstacles to recruiting to autism and learning disability services and to propose approaches to developing a sustainable psychological workforce in these areas. ■ To recognise where good examples of education and training programmes exist to address training, confidence and competence for all psychological professionals working with those who may be autistic and/or have an ID, and consider how to establish a more consistent approach to education, training and CPD across the workforce. ■ To engage in policy discussions around the current gaps, such as the demand for diagnostic assessments and support which significantly outstrips capacity, whilst highlighting unrealised opportunities, through for example, a systematic approach to training. ■ To advocate for the need for the voice of autistic people and PwID and their families/carers which is often absent from the design and offer of help. [ABSTRACT FROM AUTHOR]

This paper discusses the literature on language acquisition in individuals with autism spectrum disorders (ASD), highlighting rapid changes in the field. Researchers in psycholinguistics are exploring language acquisition theories due to ASD's significant differences across language, social, and cognitive domains. The study highlights areas where knowledge is lacking and explores potential future directions. While pragmatic deficits are commonly associated with ASD, clinicians and researchers should consider phonological, morph syntactic differences and rehabilitation to change the condition of phonological errors, which impact language comprehension and production. [ABSTRACT FROM AUTHOR]

Recent studies have shown that white–gray contrast (WGC) of either cortical or subcortical gray matter provides for accurate predictions of age in typically developing (TD) children, and that, at least for the cortex, it changes differently with age in subjects with autism spectrum disorder (ASD) compared to their TD peers. Our previous study showed different patterns of contrast change between ASD and TD in sensorimotor and association cortices. While that study was confined to the cortex, we hypothesized that subcortical structures, particularly the thalamus, were involved in the observed cortical dichotomy between lower and higher processing. The current paper investigates that hypothesis using the WGC measures from the thalamus in addition to those from the cortex. We compared age‐related WGC changes in the thalamus to those in the cortex. To capture the simultaneity of this change across the two structures, we devised a metric capturing the co‐development of the thalamus and cortex (CoDevTC), proportional to the magnitude of cortical and thalamic age‐related WGC change. We calculated this metric for each of the subjects in a large homogeneous sample taken from the Autism Brain Imaging Data Exchange (ABIDE) (N = 434). We used structural MRI data from the largest high‐quality cross‐sectional sample (NYU) as well as two other large high‐quality sites, GU and OHSU, all three using Siemens 3T scanners. We observed that the co‐development features in ASD and TD exhibit contrasting patterns; specifically, some higher‐order thalamic nuclei, such as the lateral dorsal nucleus, exhibited reduction in codevelopment with most of the cortex in ASD compared to TD. Moreover, this difference in the CoDevTC pattern correlates with a number of behavioral measures across multiple cognitive and physiological domains. The results support previous notions of altered connectivity in autism, but add more specific evidence about the heterogeneity in thalamocortical development that elucidates the mechanisms underlying the clinical features of ASD. [ABSTRACT FROM AUTHOR]

The neurodiversity movement has introduced a new era for autism research. Yet, the neurodiversity paradigm and the autism clinic remain largely unconnected. With the present work, we aim to contribute to filling this lacuna by putting forward phenomenology as a foundation for developing neurodiversity-affirming clinical interventions for autism. In the first part of this paper, we highlight that autistic people face a severe mental health crisis. We argue that approaches focused on reducing autistic 'symptoms' are unlikely to solve the problem, as autistic mental health is positively correlated with autism acceptance and perceived quality of support provided, not necessarily with lack of 'symptomatologic severity'. Therefore, the development and dissemination of neurodiversity-affirming clinical interventions is key for addressing the autism mental health crisis. However, therapists and researchers exploring such neurodiversity-affirming practices are faced with two significant challenges. First, they lack concrete methodological principles regarding the incorporation of neurodiversity into clinical work. Second, they need to find ways to acknowledge rightful calls to respect the 'autistic self' within the clinic, while also challenging certain beliefs and behaviors of autistic clients in a manner that is sine qua non for therapy, irrespective of neurotype. In the second part of the paper, we introduce phenomenological psychology as a potential resource for engaging with these challenges in neurodiversity-affirming approaches to psychotherapy. In this vein, we put forward specific directions for adapting cognitive behavioral and interpersonal psychotherapy for autism. [ABSTRACT FROM AUTHOR]