Impairments In Social Communication Research Articles

Prenatal & Perinatal Risk Factors of Autism Spectrum Disorder

Background: Autism spectrum disorder (ASD) is lifelong neurodevelopmental disorder characterized by impairments in social function, communication, and certain behaviors. The etiology of ASD is unclear & it is believed to be multi-factorial, among those several prenatal & perinatal factors are found to be significant. So, the necessity of this study is to detect the presence of known risk factors of ASD which in turn may help in the early diagnosis and intervention for better long-term outcomes. Objective: To find out prenatal and perinatal risk factors of ASD. Method: A case control study was conducted with 112 cases of ASD and 201 controls of 2-6 years of age. The study was carried out in Center for Neurodevelopment and Autism in Children (CNAC), in the department of Paediatrics, Bangabandhu Sheikh Mujib Medical University and Autism Welfare Foundation (AWF). ASD was diagnosed by DSM-IV TR criteria. Mothers were interviewed and data were collected by semistructured questionnaires. Results: Total 5 risk factors were identified as the risk factors of ASD. They were: advanced paternal age (OR=2.84) and maternal age (OR=1.87); male baby (OR=2.01); environmental stress during pregnancy (OR=1.61) and preterm delivery (OR=1.80). Conclusions: It is concluded that advanced paternal age, maternal age, male baby, environmental stress during pregnancy and preterm delivery are associated with increased risk of ASD. BANGLADESH J CHILD HEALTH 2022; VOL 46 (3) : 115-121

Bridging Genetic Insights with Neuroimaging in Autism Spectrum Disorder-A Systematic Review.

Autism Spectrum Disorder (ASD) is an early onset neurodevelopmental disorder characterized by impaired social interaction and communication, and repetitive patterns of behavior. Family studies show that ASD is highly heritable, and hundreds of genes have previously been implicated in the disorder; however, the etiology is still not fully clear. Brain imaging and electroencephalography (EEG) are key techniques that study alterations in brain structure and function. Combined with genetic analysis, these techniques have the potential to help in the clarification of the neurobiological mechanisms contributing to ASD and help in defining novel therapeutic targets. To further understand what is known today regarding the impact of genetic variants in the brain alterations observed in individuals with ASD, a systematic review was carried out using Pubmed and EBSCO databases and following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. This review shows that specific genetic variants and altered patterns of gene expression in individuals with ASD may have an effect on brain circuits associated with face processing and social cognition, and contribute to excitation-inhibition imbalances and to anomalies in brain volumes.

Effects of mini-basketball training program on social communication impairments and regional homogeneity of brain functions in preschool children with autism spectrum disorder

BackgroundSocial communication impairments (SCI) is a core symptom of autism spectrum disorder (ASD) and is marked by challenges in social interaction. Although physical exercise has been shown to improve SCI, this finding has not been supported by comprehensive scientific evidence. Existing research has established a strong link between the SCI in children with ASD and abnormalities in regional homogeneity (ReHo). Therefore, investigating the effects of physical exercise on SCI and Reho in patients with ASD may help to elucidate the neurological mechanisms involved.MethodsThe present study included 30 preschool children diagnosed with ASD, with 15 participants in each group (experimental and control). The experimental group underwent a 12-week mini-basketball training program (MBTP) based on routine behavioral rehabilitation, while the control group only received routine behavioral rehabilitation. The Social Responsiveness Scale-Second Edition (SRS-2) was employed to assess SCI in both groups. Resting-state functional magnetic resonance imaging technology was used to evaluate ReHo in both groups.ResultsAfter 12-week of MBTP, significant group × time interactions were observed between the experimental and control groups in total SRS-2 scores (F = 14.514, p < 0.001, ηp2 = 0.341), as well as in the domains of social cognition (F = 15.620, p < 0.001, ηp2 = 0.358), social communication (F = 12.460, p < 0.01, ηp2 = 0.308), and autistic mannerisms (F = 9.970, p < 0.01, ηp2 = 0.263). No statistical difference was found in the scores for the social awareness subscale and social motivation subscale in the group × time interaction (all p > 0.05). The experimental group exhibited increased ReHo in the right Cerebellum_Crus1 and right parahippocampal gyrus, coupled with decreased ReHo in the left middle frontal gyrus (orbital part), left superior frontal gyrus (dorsolateral), left postcentral gyrus, and right superior parietal gyrus. Furthermore, a decrease in ReHo in the left postcentral gyrus positively correlated with changes in social communication scores in SCI behaviors (p < 0.05).ConclusionsOur study underscores the effectiveness of a 12-week MBTP in ameliorating SCI and abnormalities in ReHo among preschool children with ASD.Trial registrationThe trial is retrospectively registered on the Chinese Clinical Trial Registry (ChiCTR1900024973; August 5, 2019).

Speech and language therapy services for autistic children in Munster: An interpretative phenomenological analysis of parental experiences and expectations

BACKGROUND: From a medical perspective, autism is characterised by a dyad of impairments in social communication and interaction, and restricted, repetitive behaviours. However, the neurodiversity movement sees autism as a difference and not as a disability. Autistic individuals account for 1–2% of the population and many autistic children and their families access Speech &amp; Language Therapy (SLT). In Ireland, SLT is provided across primary care, childrens’ disability network teams, as part of the progressing disability services for children and young people, and private providers. However, little is known about parents’ experiences accessing SLT services for autistic children. METHODS: This study aimed to investigate the parental experiences of SLT services for autistic children in the province of Munster, Ireland. Interpretative Phenomenological Analysis was used as a methodological framework. Semi-structured online interviews were carried out with six participants to identify their experiences of receiving SLT services for their autistic children. Data analysis followed a structured process, starting with in-depth explorations of individual datasets before cross-case analysis of the whole sample. FINDINGS: Participants expressed a variety of experiences and expectations of SLT provision, which centred on three thematic journeys: 1) Parenting an autistic child, 2) Experiencing and navigating SLT services for autistic children and 3) Evolving expectations of SLT service changes. CONCLUSIONS: Findings provide insight into parents’ individual and shared experiences of SLT services for autistic children, which may enrich service providers’ understanding of parents’ perceptions of SLT services. Future research should focus on exploring the experiences of autistic individuals and Speech and Language Therapists providing services for autistic children.2

Topography and Ensemble Activity in the Auditory Cortex of a Mouse Model of Fragile X Syndrome.

Autism spectrum disorder (ASD) is often associated with social communication impairments and specific sound processing deficits, for example, problems in following speech in noisy environments. To investigate underlying neuronal processing defects located in the auditory cortex (AC), we performed two-photon Ca2+ imaging in FMR1 (fragile X messenger ribonucleoprotein 1) knock-out (KO) mice, a model for fragile X syndrome (FXS), the most common cause of hereditary ASD in humans. For primary AC (A1) and the anterior auditory field (AAF), topographic frequency representation was less ordered compared with control animals. We additionally analyzed ensemble AC activity in response to various sounds and found subfield-specific differences. In A1, ensemble correlations were lower in general, while in secondary AC (A2), correlations were higher in response to complex sounds, but not to pure tones. Furthermore, sound specificity of ensemble activity was decreased in AAF. Repeating these experiments 1 week later revealed no major differences regarding representational drift. Nevertheless, we found subfield- and genotype-specific changes in ensemble correlation values between the two times points, hinting at alterations in network stability in FMR1 KO mice. These detailed insights into AC network activity and topography in FMR1 KO mice add to the understanding of auditory processing defects in FXS.

Social Networks and Communication Impairment: Racial Differences Among Stroke Survivors

Purpose: Recent evidence highlights the importance of social networks—the composition of social relationships—and their characteristics in stroke recovery. This study explores the relationship between social networks and poststroke communication outcomes. Method: A cohort of 30 non-Hispanic Black ( n = 12) and non-Hispanic White ( n = 18) adult stroke survivors completed the Stroke Impact Scale (SIS) Communication subtest and the Stroke Social Network Scale (SSNS). The SSNS captures elements of social networks including satisfaction and contact with friends, relatives, children, and groups. The relationship between the SIS Communication subtest scores and SSNS scores was explored using ordinal Bayesian regression estimation models adjusting for sex, age, time postonset, marital status, and stroke type. Results: Average SIS Communication scores differed ( t = 2.07, p = .335) between White ( M = 81.75, SD = 22.90) and Black ( M = 95.71, SD = 4.95) participants, but SSNS Comprehensive scores were similar between the two groups ( t = −0.89, p = 1.00). SSNS children subtest scores were higher among the Black than the White ( t = −1.73, p = .0473) participants. Similarly, satisfaction subtest scores were comparatively higher among Black than White participants ( t = 1.85, p = .451). SSNS Satisfaction, Friends, and Groups subtest scores were positively associated with SIS Communication, indicating strong associations with lower impairment. SSNS Children subtest scores were negatively related to SIS, indicating higher impairment. Although most subtest associations were similar for both groups, the associations with SSNS Children and Friends subtests differed between racial groups. Conclusions: Levels of communication impairment were correlated with child, friendship, and group attachments among participants. However, strong social ties to children and friends had different associations among racial groups.

Frotteurism and Kleptomania in High-Functioning Autism Spectrum Disorder: A Case Report

Innate vulnerabilities in autism spectrum disorder (ASD) could increase the risk of comorbid psychiatric conditions and judicial problems. Persistent deficits in social communication, narrow, repetitive interests, or sensory impairments could lead to deviant behaviors. This case study refers to a 22-year-old male who exhibited behavioral particularities in agreement with the presence of frotteurism and kleptomania. The impulsive nature of these behaviors was consistent with repetitive and stereotyped patterns. Premorbid social impairments, mainly in the communication domain, were also prominent, leading to the suspicion of ASD. This case report introduces two rare comorbid conditions in ASD, with forensic implications that can severely impact patients’ lives. The importance of this association especially applies to high-functioning ASD, given the propensity to an unknown diagnosis. A high-level awareness of ASD, especially in forensic psychiatry, is of paramount pertinence regarding the opportunity for early interventions addressing sexual education and social skills training. Autism, high-level, frotteurism, kleptomania, sexual, impulse, forensic, psychiatry, social skills

A patient`s trajectory with autism spectrum disorder leading to forensic psychiatric institutionalisation

IntroductionAutism-spectrum-disorder (ASD) is a heterogenous neurodevelopmental condition with a wide range of symptoms. Typical deficits, such as impairment in social communication and interactions, can lead to violent behaviours. However, ASD is often underdiagnosed and little is known about patients with ASD in forensic institutions.ObjectivesTo highlight the diagnostic challenges and offending behaviour of people with ASD in the context of the criminal justice system (CJS) through a case report.MethodsThe case report is based on exploration, third party anamnesis, medical documentations and court filesResults A 25-year-old man was placed in detention in 2021 after having committed a dangerous threat to unknown persons and was considered not guilty by reason of insanity. Since early childhood the patient presented with extreme mood swings and impulsive-aggressive outbursts that led to criminal mischief later on. During elementary school he developed concentration problems as well as specific learning deficits. Due to his deviant social behaviour, he was rejected from his peer group. Over the course of the years, he showed no significant responses to different psychopharmacological treatment approaches. His social anxiety grew and ultimately, he started experimenting with various drugs and drinking excessive amounts of alcohol, which induced multiple psychotic episodes. Due to the psychotic exacerbations, he was repeatedly admitted to psychiatric units for acute treatment, however the autistic disorder remained untreated. At the time of the crime an independent psychiatric assessor diagnosed schizophrenia simplex and multiple drug abuse. The patient had been in psychiatric treatment since the age of 5 and received multiple diagnoses such as combined personality disorder, different subtypes of schizophrenia, ADHD, Tourette syndrome, depressive disorder and ASD at the age of 14. Nevertheless, prior to his detention he had never received a complex therapy focusing on his ASD. According to the verdict he was admitted to a medium secure forensic ward in Lower Austria, where he was treated with antipsychotic and anxiolytic medication. Furthermore, he participated in the day-structuring treatment program ensuring routine.Conclusions Neurodevelopmental disorders such as ASD often impose a diagnostic challenge, particularly without intellectual disability. This can lead to under- and misdiagnosis, inadequate treatment or even criminal behaviour. Impaired theory of mind, poor emotional regulation and problems with moral reasoning should be recognized and treated specifically early on to prevent further damage to both the individual and society.Disclosure of InterestNone Declared

Autism Severity and its Relationship to Disability.

Autism severity is currently defined and measured based exclusively on the severity levels of the two core symptom domains: social-communication and restricted or repetitive patterns of behaviors and interests. Autistic individuals, however, are often diagnosed with other medical, developmental, and psychological co-occurring conditions. These additional challenges such as intellectual disability, limited expressive and/or receptive language, and anxiety disorders, can have a tremendous impact on the day-to-day lives of autistic individuals, for both their adaptive functioning as well as their sense of wellbeing. Furthermore, the initial presentation of core symptoms and their likelihood of changing over time are influenced by the presence of such co-occurring conditions. In order to truly understand how a person's autism impacts their life, both core symptoms as well as other challenges should be considered. This approach was recently taken by The Lancet Commission on the future of care and clinical research in autism, which proposed the term "profound autism" for a subgroup of individuals presenting with high core symptom severity, co-occurring intellectual disability, and little or no language, who require extensive long-term care. Considering other individual factors such as daily living skills, specific support needs and environmental resources would also enhance the evaluation of disability in autistic individuals. As currently employed in the assessment of intellectual disability, a multidimensional approach to autism could provide a more comprehensive system for classification of impairment. At present, however, there is no formal way to designate the combined effect of these different aspects of autism on a person's life. A comprehensive outlook that acknowledges impairments, capabilities, co-occurring conditions, and environmental factors would be useful for identifying subgroups of individuals as well as for determining individual needs and strengths in clinical assessments. Lay Summary: The severity of a person's autism is currently defined based on the severity of their core autism symptoms: impaired social-communication and the presence of restricted or repetitive patterns of behaviors and interests. But autistic people often face additional challenges such as intellectual disability, epilepsy, and anxiety disorder, that considerably impact their everyday life, wellbeing, and the need for support. A more complete view of autism severity, one that includes core symptoms as well as additional challenges, could help identify meaningful sub-groups of autistic individuals and could be useful in clinical care. Appeared originally in Autism Res 2023; 16:685-696.

Detection of Autism Spectrum Disorder using Machine Learning: A Review

Abstract: Social interaction and communication impairments are caused by an illness known as Autism Spectrum Disorder (ASD), which has neurological and genetic components. Statistics from the World Health Organization (WHO) show that the number of people with ASD diagnoses is progressively rising. The majority of recent research focuses on data gathering, brain image analysis, and clinical diagnosis; it does not address the diagnosis of ASD using machine learning. Currently, the only techniques available for diagnosing ASD are clinical standardized testing. This results in longer diagnostic times as well as a sharp rise in medical expenses. Machine learning approaches are being used to supplement traditional methods in order to enhance diagnosis precision and time required. The dataset is being subjected to several machine learning approaches, with the aim of constructing predictive models that are contingent on the results. The best accurate machine learning model to identify the disease in its early stages is then found by analyzing each technique according to its assessment metrics.

Preventive treatment alternatives in pediatric patients with autism spectrum disorder in the dental practice. literature review

Autism comes from the Greek word auto, which means "self." Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social interaction and communication. Dental treatment in patients with ASD can be challenging due to their behavior. Therefore, this review discusses preventive treatment techniques for pediatric patients with ASD at the dental office, as the prevalence of children with autism is growing. Thus, dentists would face more patients with autism in their daily practice. Regarding treatment protocols, they would require specialized attention in dental management. Information was searched in the following databases: PubMed, SciELO, Redalyc, Elsevier, and the International Association of Paediatric Dentistry (IAPD). The descriptors used were: Pediatric Dentistry, Autism, ASD, Autism Spectrum Disorder, and Management of the autistic patient.

Increased gene dosage of RFWD2 causes autistic-like behaviors and aberrant synaptic formation and function in mice

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impaired social interactions, communication deficits and repetitive behaviors. A study of autistic human subjects has identified RFWD2 as a susceptibility gene for autism, and autistic patients have 3 copies of the RFWD2 gene. The role of RFWD2 as an E3 ligase in neuronal functions, and its contribution to the pathophysiology of ASD, remain unknown. We generated RFWD2 knockin mice to model the human autistic condition of high gene dosage of RFWD2. We found that heterozygous knockin (Rfwd2+/−) male mice exhibited the core symptoms of autism. Rfwd2+/− male mice showed deficits in social interaction and communication, increased repetitive and anxiety-like behavior, and spatial memory deficits, whereas Rfwd2+/− female mice showed subtle deficits in social communication and spatial memory but were normal in anxiety-like, repetitive, and social behaviors. These autistic-like behaviors in males were accompanied by a reduction in dendritic spine density and abnormal synaptic function on layer II/III pyramidal neurons in the prelimbic area of the medial prefrontal cortex (mPFC), as well as decreased expression of synaptic proteins. Impaired social behaviors in Rfwd2+/− male mice were rescued by the expression of ETV5, one of the major substrates of RFWD2, in the mPFC. These findings indicate an important role of RFWD2 in the pathogenesis of autism.

AUTISM IN PAKISTAN: UNDERSTANDING THE CHALLENGES AND SEEKING SOLUTIONS

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by impaired social interaction, communication difficulties, and repetitive behaviors. This conceptual article aims to comprehensively explore the state of autism in Pakistan, encompassing its prevalence, diagnosis, cultural factors, challenges, and potential interventions. Drawing upon empirical research and scholarly literature, this article underscores the intricate landscape of autism in Pakistan and advocates for a more inclusive and supportive society for individuals with autism

Age at autism spectrum disorder diagnosis and its association with child and family characteristics in a tertiary care hospital in Malaysia.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder. Despite the absence of a cure, early diagnosis and intensive early intervention can improve the outcomes. However, little is known about the median age at ASD diagnosis in Malaysia or the child/family characteristics associated with early diagnosis. Therefore, this study aimed to determine the median age at ASD diagnosis among Malaysian children presenting to the country's largest public tertiary neurodevelopmental center and to investigate the possible demographic, child, and family characteristics associated with an early age at diagnosis. Data were collected between February 2017 and February 2019 from a database maintained by the child development unit of the country's largest publicly funded tertiary hospital, containing data from an ethnically diverse population. Among Malaysian children attending the clinic, the median age at ASD diagnosis was 48 months. Early autism diagnosis (<36 months of age) was associated with increased severity of social communication and interaction impairments, coexisting intellectual impairment, children from high socioeconomic status families, and children who receive joint care from their families and a maid or babysitter. The study findings highlight the socioeconomic inequalities in the country, a lack of parental awareness of early ASD signs, and the presence of cultural influences on the age at diagnosis of ASD.

Combined repetitive transcranial magnetic stimulation and gut microbiota modulation through the gut-brain axis for prevention and treatment of autism spectrum disorder.

Autism spectrum disorder (ASD) encompasses a range of neurodevelopmental conditions characterized by enduring impairments in social communication and interaction together with restricted repetitive behaviors, interests, and activities. No targeted pharmacological or physical interventions are currently available for ASD. However, emerging evidence has indicated a potential association between the development of ASD and dysregulation of the gut-brain axis. Repetitive transcranial magnetic stimulation (rTMS), a noninvasive diagnostic and therapeutic approach, has demonstrated positive outcomes in diverse psychiatric disorders; however, its efficacy in treating ASD and its accompanying gastrointestinal effects, particularly the effects on the gut-brain axis, remain unclear. Hence, this review aimed to thoroughly examine the existing research on the application of rTMS in the treatment of ASD. Additionally, the review explored the interplay between rTMS and the gut microbiota in children with ASD, focusing on the gut-brain axis. Furthermore, the review delved into the integration of rTMS and gut microbiota modulation as a targeted approach for ASD treatment based on recent literature. This review emphasizes the potential synergistic effects of rTMS and gut microbiota interventions, describes the underlying mechanisms, and proposes a potential therapeutic strategy for specific subsets of individuals with ASD.

Programmes to manage food selectivity in individuals with autism spectrum disorder.

Autism spectrum disorder (ASD) is a complex group of neurodevelopmental disorders characterised by impaired social communication and restricted interests/repetitive behaviours. In this regard, sensory processing difficulties and delayed oral motor skills often predispose individuals with ASD to food selectivity (FS). It is usually associated with repetitive eating patterns that can lead to multiple malnutrition conditions. The objective of this narrative review is to present an overview about the existing nutritional interventions aiming at promoting a healthy eating pattern and addressing food selectivity among individuals with ASD. Regarding the interventions targeting nutrition education, the majority of the analysed studies failed to demonstrate their effectiveness. On the other hand, many educational interventions involving taste or cooking sessions, as well as behavioural interventions for FS, demonstrated effective results. Moreover, multidisciplinary in tailoring such programmes, including psychology speech therapy and nutritional skills, is acknowledged as a key approach.

Sex-specific modulation of safety learning in Shank2-deficient mice

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by impaired perceptual processing and social communication, intellectual disabilities, and repetitive behaviors. Interestingly, while not a core symptom, anxiety disorders frequently co-occur in individuals with ASD and deficits in safety learning have been described in patients with anxiety-related disorders. Because genetic factors, such as SHANK deficiency (loss-of-function mutations), have been linked to ASD, the aim of the present study was to investigate whether Shank2 deficiency interferes with associative fear and safety signal learning. To first investigate trait anxiety, male and female Shank2-deficient mice were exposed to a light-dark box test. Mice were then submitted to a combination of contextual fear conditioning and single-cue safety conditioning. The results show that Shank2 deficiency increases trait anxiety but reduces contextual fear learning. In male but not female Shank2-deficient mice, reduced single-cued safety learning was observed. This safety learning deficit was not caused by altered anxiety levels, increased locomotor activity, or reduced contextual fear since these changes were also observed in female Shank2-deficient mice. Concluding, our data indicate that the observed safety learning deficits in Shank2-deficient male mice could contribute to the emotional symptoms observed in ASD and the high comorbidity with anxiety-related disorders.

Discovery of a novel cytokine signature for the diagnosis of autism spectrum disorder in young Arab children in Qatar.

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder characterized by impaired social interaction and communication and the occurrence of stereotyped and repetitive behaviors. Several studies have reported altered cytokine profiles in ASD and hence may serve as potential diagnostic biomarkers of the disorder. This study aims to identify diagnostic biomarkers for ASD in a well-defined study cohort in Qatar. We measured the protein levels of 45 cytokines in the plasma samples of age- and gender-matched children (2-4 years) with ASD (n = 100) and controls (n = 60) using a Luminex multiplex assay. We compared the differences in the levels of these cytokines between the two study groups and then fitted the significantly altered cytokines into a logistic regression model to examine their diagnostic potential for ASD. We found elevated levels of IFN-γ, FGF-2, IL-1RA, and IL-13 and reduced levels of eotaxin, HGF, IL-1 alpha, IL-22, IL-9, MCP-1, SCF, SDF-1 alpha, VEGFA, and IP-10 in the plasma of children with ASD compared to controls. Furthermore, we observed that elevated levels of IFN-γ (odds ratio (OR) = 1.823; 95% (confidence interval) CI = 1.206, 2.755; p = 0.004) and FGF-2 (OR = 2.528; 95% CI = 1.457, 4.385; p < 0.001) were significantly associated with increased odds of ASD, whereas reduced levels of eotaxin (OR = 0.350; 95% CI = 0.160, 0.765; p = 0.008) and HGF (OR = 0.220; 95% CI = 0.070, 0.696; p = 0.010) were significantly associated with lower odds of ASD relative to controls. The combination of these four cytokines revealed an area under the curve (ROC-AUC) of 0.829 (95% CI = 0.767, 0.891; p < 0.001), which demonstrates the diagnostic accuracy of the four-cytokine signature. Our results identified a panel of cytokines that could discriminate between children with ASD and controls in Qatar. In addition, our findings support the predominance of a Th1 immune phenotype in ASD children and emphasize the need to validate these results in larger populations.

ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology

AbstractAutism Spectrum Disorder (ASD) is a chronic condition characterised by impairments in social interaction and communication. Early detection of ASD is desired, and there exists a demand for the development of diagnostic aids to facilitate this. A lightweight Involutional Neural Network (INN) architecture has been developed to diagnose ASD. The model follows a simpler architectural design and has less number of parameters than the state‐of‐the‐art (SOTA) image classification models, requiring lower computational resources. The proposed model is trained to detect ASD from eye‐tracking scanpath (SP), heatmap (HM), and fixation map (FM) images. Monte Carlo Dropout has been applied to the model to perform an uncertainty analysis and ensure the effectiveness of the output provided by the proposed INN model. The model has been trained and evaluated using two publicly accessible datasets. From the experiment, it is seen that the model has achieved 98.12% accuracy, 96.83% accuracy, and 97.61% accuracy on SP, FM, and HM, respectively, which outperforms the current SOTA image classification models and other existing works conducted on this topic.

Machine learning classification of autism spectrum disorder based on reciprocity in naturalistic social interactions

Autism spectrum disorder is characterized by impaired social communication and interaction. As a neurodevelopmental disorder typically diagnosed during childhood, diagnosis in adulthood is preceded by a resource-heavy clinical assessment period. The ongoing developments in digital phenotyping give rise to novel opportunities within the screening and diagnostic process. Our aim was to quantify multiple non-verbal social interaction characteristics in autism and build diagnostic classification models independent of clinical ratings. We analyzed videos of naturalistic social interactions in a sample including 28 autistic and 60 non-autistic adults paired in dyads and engaging in two conversational tasks. We used existing open-source computer vision algorithms for objective annotation to extract information based on the synchrony of movement and facial expression. These were subsequently used as features in a support vector machine learning model to predict whether an individual was part of an autistic or non-autistic interaction dyad. The two prediction models based on reciprocal adaptation in facial movements, as well as individual amounts of head and body motion and facial expressiveness showed the highest precision (balanced accuracies: 79.5% and 68.8%, respectively), followed by models based on reciprocal coordination of head (balanced accuracy: 62.1%) and body (balanced accuracy: 56.7%) motion, as well as intrapersonal coordination processes (balanced accuracy: 44.2%). Combinations of these models did not increase overall predictive performance. Our work highlights the distinctive nature of non-verbal behavior in autism and its utility for digital phenotyping-based classification. Future research needs to both explore the performance of different prediction algorithms to reveal underlying mechanisms and interactions, as well as investigate the prospective generalizability and robustness of these algorithms in routine clinical care.