Features Of Autism Spectrum Disorder Research Articles

Structural associations between self-perception of support and knowledge of disability characteristics of autism spectrum disorder among staff in facilities providing after-school day services.

We constructed a hypothetical model of the knowledge of autism spectrum disorder (ASD) and self-perception of support of staff working in after-school day services to clarify structural relationships. A questionnaire survey was conducted at 194 facilities providing after-school day services in Fukushima Prefecture (October 2020), including a basic attributes questionnaire, the Literacy Scale of Characteristics of Autistic Spectrum Disorder (LS-ASD), and a staff questionnaire. We developed a hypothetical model of the relationship between self-perception and LS-ASD total scores of after-school service staff. To obtain latent variables for structural equation modeling (SEM) to confirm factor extraction and the interrelationships among variables, exploratory factor analysis was performed. SEM was used to examine the fit of the hypothetical model to the data and the relationships among variables. The study included 302 staff members from 58 of 194 facilities. Four factors (Factor 1, motivation; 2, self-perception of knowledge; 3, information sharing; 4, self-confidence) were extracted. The final model showed that Factor 2 had a positive direct effect (path coefficient = 0.64) and Factor 4 had a negative direct effect (path coefficient = -0.22) on LS-ASD scores. The model goodness of fit was acceptable (Goodness-of-Fit Index = 0.890; Comparative Fit Index = 0.912; Root Mean Square Error of Approximation = 0.086; Akaike's Information Criterion = 392.7). Self-perception of knowledge contributes greatly to knowledge acquisition, while excessive confidence may hinder knowledge retention.

Amelioration of propionic acid-induced autism spectrum disorder in rats through dapagliflozin: The role of IGF-1/IGFBP-3 and the Nrf2 antioxidant pathway

The biological effects of dapagliflozin, a sodium-glucose cotransporter-2 (SGLT2) inhibitor, reveal its antioxidant and anti-inflammatory properties, suggesting therapeutic benefits beyond glycemic control. This study explores the neuroprotective effects of dapagliflozin in a rat model of autism spectrum disorder (ASD) induced by propionic acid (PPA), characterized by social interaction deficits, communication challenges, repetitive behaviors, cognitive impairments, and oxidative stress.Our research aims to find effective treatments for ASD, a condition with limited therapeutic options and significant impacts on individuals and families. PPA induces ASD-like symptoms in rodents, mimicking biochemical and behavioral features of human ASD. This study explores dapagliflozin’s potential to mitigate these symptoms, providing insights into novel therapeutic avenues.The findings demonstrate that dapagliflozin enhances the activation of the nuclear factor erythroid 2-related factor 2 (Nrf2) antioxidant pathway and increases levels of neurotrophic and growth factors such as brain-derived neurotrophic factor (BDNF), insulin-like growth factor-1 (IGF-1), and insulin-like growth factor-binding protein-3 (IGFBP-3). Additionally, dapagliflozin reduces pro-inflammatory cytokines, including tumor necrosis factor-alpha (TNF-α) and interleukin-17 (IL-17), and decreases the oxidative stress marker malondialdehyde (MDA).Dapagliflozin’s antioxidant properties support cognitive functions by modulating apoptotic mechanisms and enhancing antioxidant capacity. These combined effects contribute to reducing learning and memory impairments in PPA-induced ASD, highlighting dapagliflozin’s potential as an adjunctive therapy for oxidative stress and inflammation-related cognitive decline in ASD.This study underscores the importance of exploring new therapeutic strategies targeting molecular pathways involved in the pathophysiology of ASD, potentially improving the quality of life for individuals affected by this disorder.

PARENT-CHILD INTERACTION THERAPY: A LITERATURE REVIEW ON ITS EFFECTIVENESS FOR CHILDREN WITH AUTISM SPECTRUM DISORDER (ASD)

Autism Spectrum Disorder (ASD) affects children and their learning in a variety of ways. ASD is a developmental disorder that is marked by profound deficits in social, language, and cognitive abilities. The core features of ASD are areas in which difficulties can lead to feelings of frustration, confusion, anxiety or lack of control, resulting in behavioural responses. This article offers an overview of the literature, focusing on the effectiveness of Parent-Child Interaction Therapy (PCIT) which used to improve the relationship between parent-children and to reduce noncompliance behaviour in children with ASD. The PCIT is an empirically-supported treatment for conduct-disordered for young children aged two to seven that highlights on improving the quality of the relationship between parents and child and changing inappropriate pattern of parent-child interaction. Early relationships between parents and children have powerful impacts on children’s behaviour and emotional development. When parents are responsive and sensitive to child’s cues, they contribute to the coordinated back and forth of interaction with the child. This kind of interaction helps children develop self-sense and emotional regulation skills such as self control and self-calming. Furthermore, in order to help young children to develop lifelong motivation in their self, parents are encouraged to participate in everyday learning and playing activities. Therefore, identifying the most effective intervention parenting programmes for enhancing and rebuilding parent-child relationships through teaching parent the skills necessary for coping with noncompliance behaviour in young children with ASD is crucially important. Overall, the findings of this study demonstrate the potential of PCIT as an early intervention to improve the behavioural functional outcomes of preschool children with ASD.

Aerobic exercise improves cognitive flexibility and modulates regional volume changes in a rat model of autism

Gestational exposure to valproic acid (VPA) is a risk factor for autism spectrum disorder (ASD). Rodents exposed to VPA in utero display common features of ASD, including volumetric dysregulation in higher-order cognitive regions like the medial prefrontal cortex (mPFC), the anterior cingulate cortex (ACC), and the hippocampus. Exercise has been shown in elderly populations to boost cognition and to buffer against brain volume losses with age. This study employed an adolescent treadmill exercise intervention to facilitate cognitive flexibility and regional brain volume regulation in rats exposed to VPA during gestation. It was found that exercise improved performance on extra-dimensional shifts of attention on a set-shifting task, which is indicative of improved cognitive flexibility. Exercise decreased frontal cortex volume in females, whereas in males exercise increased the ventral hippocampus. These findings suggest that aerobic exercise may be an effective intervention to counteract the altered development of prefrontal and hippocampal regions often observed in ASD.

Affective Contact in Autism: A Phenomenological Study of the Emotional Experiences of Autistic Adults.

Since the first descriptions of autism, difficulties with affective contact (e.g., interpersonal exchanges of feelings between individuals) have been considered a common feature of autism spectrum disorder, and these difficulties frequently manifest in occupational therapy interventions. To (1) explore how autistic young adults describe their emotions and (2) suggest ways to improve the affective contact between autistic clients and their therapists. Virtual focus group interviews. Online (Qualtrics) survey and Zoom focus groups. Autistic adults (N = 24) who met the following inclusion criteria: self-reported diagnosis of autism spectrum disorder or Asperger syndrome, age 18-35 yr, able to understand English, and able to participate in a focus group or individual interview using verbal or written communication. Two themes were noted and are presented in this article: (1) Autistic people experience complex emotions and (2) autistic people's emotions are often (mis)measured and (mis)understood. The findings indicate that autistic people experience diverse, complex, and intense emotions and that these are connected to occupation. This suggests that occupational therapists must be attuned to the emotional dimension of occupation when working with autistic clients and that autistic clients may benefit from the use of embodied language to reference their emotions. Occupational therapists can help autistic clients recognize their bodily changes when experiencing emotions and to better identify and regulate their emotions. The results also show that there were many cases nonautistic people misinterpreted the emotions of autistic people on the basis of their facial expressions or words. Plain-Language Summary: This article provides information about the emotional experiences of autistic people. The study found that autistic people experience complex emotions and that those emotions are often misinterpreted or misunderstood. The author provides information on how occupational therapists can use a neurodiversity-affirming and person-centered approach to support the emotional experiences of people in the autism community. Positionality Statement: In this article, identity-first language is used when referring to autistic adults. This deliberate choice aligns with the principles of the neurodiversity-affirming movement. Autistic self-advocates have indicated a preference for this style of language over person-first language. The author would also like to acknowledge their positionality. As both a neurodivergent researcher and a self-advocate for the disabled community, this style of language aligns with their own experiences of and beliefs about their disability.

Joint contractures is a recurrent clinical feature of individuals with neurodevelopmental disorder due to FOXP1 likely gene disruptive variants.

Haploinsufficiency of FOXP1 gene is responsible for a neurodevelopmental disorder presenting with intellectual disability (ID), autism spectrum disorder (ASD), hypotonia, mild dysmorphic features, and multiple congenital anomalies. Joint contractures are not listed as a major feature of FOXP1-related disorder. We report five unrelated individuals, each harboring likely gene disruptive de novo FOXP1 variants or whole gene microdeletion, who showed multiple joint contractures affecting at least two proximal and/or distal joints. Consistent with the phenotype of FOXP1-related disorder, all five patients showed developmental delay with moderate-to-severe speech delay, ID, ASD, and facial dysmorphic features. FOXP1 is implicated in neuronal differentiation and in organizing motor axon projections, thus providing a potential developmental basis for the joint contractures. The combination of joint contractures and neurodevelopmental disorders supports the clinical suspicion of FOXP1-related phenotype.

Does broad autism phenotype traits effect mother-child interaction?: a cross-sectional study from Turkey

Objectives Broad Autism Phenotype (BAP) is defined as personality, social, and language features that parallel the defining behavioral characteristics of autism spectrum disorder, including social deficits, communication abnormalities, and stereotyped repetitive behavior. The objective of this study was to assess the impact of maternal BAP characteristics on the dynamic interaction between mothers and their children. Methods Children aged 12–60 months who were referred to the Infant Mental Health Unit of our outpatient clinic were analyzed. Forty-one children who were diagnosed with autism and 35 children who were diagnosed with global developmental delay (GDD) and their mothers were included in the study. The Parent–Infant Relationship Global Assessment Scale (PIR-GAS), Autism-Spectrum Quotient (ASQ), Parental Acceptance–Rejection Questionnaire, and Recognition of Emotional Maltreatment Scale (REMS) were used. Results The PIR-GAS score was significantly lower in the autism group than in the GDD group, and mothers of children with autistic children exhibited higher BAP scores. Conclusions Our study suggests a link between maternal BAP scores and the quality of mother-child relationships. Further studies are needed to examine and improve our ability to evaluate the effects of parental BAP in terms of parental intervention effectiveness.

Temporal resolution relates to sensory hyperreactivity independently of stimulus detection sensitivity in individuals with autism spectrum disorder.

Researchers have been focusing on perceptual characteristics of autism spectrum disorder (ASD) in terms of sensory hyperreactivity. Previously, we demonstrated that temporal resolution, which is the accuracy to differentiate the order of two successive vibrotactile stimuli, is associated with the severity of sensory hyperreactivity. We currently examined whether an increase in the perceptual intensity of a tactile stimulus, despite its short duration, is derived from high temporal resolution and high frequency of sensory temporal summation. Twenty ASD and 22 typically developing (TD) participants conducted two psychophysical experimental tasks to evaluate detectable duration of vibrotactile stimulus with same amplitude and to evaluate temporal resolution. The sensory hyperreactivity was estimated using self-reported questionnaire. There was no relationship between the temporal resolution and the duration of detectable stimuli in both groups. However, the ASD group showed severe sensory hyperreactivity in daily life than TD group, and the ASD participants with severe sensory hyperreactivity tended to have high temporal resolution, not high sensitivity of detectable duration. Contrary to the hypothesis, there might be different processing between temporal resolution and sensitivity for stimulus detection. We suggested that the atypical temporal processing would affect to sensory reactivity in ASD.

The Neural Bases of Language Processing During Social and Non-Social Contexts: A fNIRS Study of Autistic and Neurotypical Preschool-Aged Children.

Little is known about how the brains of autistic children process language during real-world "social contexts," despite the fact that challenges with language, communication, and social interaction are core features of Autism Spectrum Disorder (ASD). We investigated the neural bases of language processing during social and non-social contexts in a sample of N=20 autistic and N=20 neurotypical (NT) preschool-aged children, 3 to 6 years old. Functional near-infrared spectroscopy (fNIRS) was used to measure children's brain response to "live language" spoken by a live experimenter during an in-person social context (i.e., book reading), and "recorded language" played via an audio recording during a non-social context (i.e., screen time). We examined within-group and between-group differences in the strength and localization of brain response to live language and recorded language, as well as correlations between children's brain response and language skills measured by the Preschool Language Scales. In the NT group, brain response to live language was greater than brain response to recorded language in the right temporal parietal junction (TPJ). In the ASD group, the strength of brain response did not differ between conditions. The ASD group showed greater brain response to recorded language than the NT group in the right inferior and middle frontal gyrus (IMFG). Across groups, children's language skills were negatively associated with brain response to recorded language in the right IMFG, suggesting that processing recorded language required more cognitive effort for children with lower language skills. Children's language skills were also positively associated with the difference in brain response between conditions in the right TPJ, demonstrating that children who showed a greater difference in brain response to live language versus recorded language had higher language skills. Findings should be considered preliminary until they are replicated in a larger sample. Findings suggest that the brains of NT children, but not autistic children, process language differently during social and non-social contexts. Individual differences in how the brain processes language during social and non-social contexts may help to explain why language skills are so variable across children with and without autism.

Tactile sensory processing deficits in genetic mouse models of autism spectrum disorder.

Altered sensory processing is a common feature in autism spectrum disorder (ASD), as recognized in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Although altered responses to tactile stimuli are observed in over 60% of individuals with ASD, the neurobiological basis of this phenomenon is poorly understood. ASD has a strong genetic component and genetic mouse models can provide valuable insights into the mechanisms underlying tactile abnormalities in ASD. This review critically addresses recent findings regarding tactile processing deficits found in mouse models of ASD, with a focus on behavioral, anatomical, and functional alterations. Particular attention was given to cellular and circuit-level functional alterations, both in the peripheral and central nervous systems, with the objective of highlighting possible convergence mechanisms across models. By elucidating the impact of mutations in ASD candidate genes on somatosensory circuits and correlating them with behavioral phenotypes, this review significantly advances our understanding of tactile deficits in ASD. Such insights not only broaden our comprehension but also pave the way for future therapeutic interventions.

Applying Artificial Intelligence in Diagnosis and Treatment of Autism Spectrum Disorder in Children

Autism Spectrum Disorder (ASD) is a disorder of increasing prevalence that affects individuals socially, emotionally, and academically. The increased prevalence and restricted access to diagnosis and treatment suggest more efficient and widely accessible services are necessary. Many individuals with ASD do not receive proper attention due to various reasons, including costs, long wait lists, and long processes. Recent developments in artificial intelligence and machine learning are believed to be able to aid this accessibility issue. Research has shown progress in using MRI and EEG datasets to develop machine learning models in diagnosing ASD and potentially finding biomarkers using supervised and unsupervised ML techniques. AI algorithms analyzing body language and physical behaviors could potentially be used to assess ASD characteristics despite the heterogeneity of the disorder. The adaptivity of artificial intelligence is believed to have the potential to create supportive software for students with ASD to support learning, emotional regulation, and development of social communication skills and increased adaptability. More evidence is required to prove the effectiveness of these applications, but many studies show a lot of promise for children with ASD.

Global Sensory Features are Linked to Executive and Attentional Impairments in Autism Spectrum Disorders.

Sensory features, executive and attentional impairments are frequently reported in individuals with autism spectrum disorders (ASD). However, little is known about their complex relationships. In this study, we aim to examine the executive and attentional difficulties related to distinct sensory profiles. We identified sensory profiles with a Latent Profile Analysis (LPA) based on scores on the Short Sensory Profile (SSP) questionnaire in 95 children with ASD aged 6 to 17years. Executive and attention functions were assessed using the Behavior Rating Inventory of Executive Functions (BRIEF) questionnaire and Attention-Deficit Hyperactivity Disorder Rating Scale (ADHD-RS). A three-cluster solution based on raw SSP scores identified a "high'', a "medium" and a "low'' SSP profile. We found a significant relationship between executive functions, attentional skills and the global severity of sensory features, reinforcing findings of previous studies in the literature. A two-cluster solution based on normalized SSP (i.e. equalized for the global severity) identified distinct sensory profiles, mainly discriminated by the score of underresponsive/seeks sensation. We found no significant difference between these two clusters for the BRIEF and ADHD-RS related scores. Our study suggests that the heterogeneity of sensory features in ASD may not be explained by differences in executive and attention functions. Future studies are needed to refine the link between sensory features and executive functions in autism.

Metabolic network analysis of pre-ASD newborns and 5-year-old children with autism spectrum disorder

Classical metabolomic and new metabolic network methods were used to study the developmental features of autism spectrum disorder (ASD) in newborns (n = 205) and 5-year-old children (n = 53). Eighty percent of the metabolic impact in ASD was caused by 14 shared biochemical pathways that led to decreased anti-inflammatory and antioxidant defenses, and to increased physiologic stress molecules like lactate, glycerol, cholesterol, and ceramides. CIRCOS plots and a new metabolic network parameter, V°\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\dot{{{\\boldsymbol{V}}}}\\!$$\\end{document}net, revealed differences in both the kind and degree of network connectivity. Of 50 biochemical pathways and 450 polar and lipid metabolites examined, the developmental regulation of the purine network was most changed. Purine network hub analysis revealed a 17-fold reversal in typically developing children. This purine network reversal did not occur in ASD. These results revealed previously unknown metabolic phenotypes, identified new developmental states of the metabolic correlation network, and underscored the role of mitochondrial functional changes, purine metabolism, and purinergic signaling in autism spectrum disorder.

Attention and sensory integration for gait in young adults with autism spectrum disorder

IntroductionAltered sensorimotor function is a common feature of autism spectrum disorder (ASD). As a result, spatiotemporal walking patterns are typically affected. Attentional processes relevant for locomotion may be altered in people with ASD. This study assessed the extent to which gait alterations observed under sensory challenging conditions are due to reduced attention-related processes in young adults with ASD. MethodsTwenty-one adults with ASD and 21 age- and sex-matched neurotypical participants walked at a self-selected pace on a 10-m walkway under 12 sensory/attention conditions: hard or carpet flooring; well-lit or dim lighting; no attention task, an auditory choice-reaction time information-processing task, or a simple reaction time information-processing task. Gait data were collected with a 12-marker motion capture set and a trunk accelerometer. Spatiotemporal characteristics of gait were derived and compared between the two groups across gait conditions. ResultsFloor/light conditions impacted gait speed, average step length, average stance time, average step width, and step width variability similarly in both groups (p<0.05). The information processing tasks impacted average step length, gait speed, and step length variability (p<0.05). Group differences were found in step length metrics: the ASD group had decreased average step length during the simple reaction time information-processing task and neurotypical participants did not (p=0.039); the ASD group had increased variability on carpet compared to hard floor and the neurotypical group had no change in variability due to floor (p=0.015). SignificanceThese results suggest that attentional set-shifting and somatosensory inputs may play an important role in ASD-related gait alterations. Step length metrics appear to be sensitive to group differences between ASD and neurotypical adults during sensory challenging conditions.

The effect of eight weeks of central stability exercises on sensory-motor development of children with high-functioning autism spectrum disorder

Introduction: Sensory-motor problems are among the outstanding characteristics of autism spectrum disorders (ASD). Aim: The present research was conducted aiming to assess the effectiveness of eight weeks of central stability exercises on the sensory-motor development of children with high-functioning ASD. Method: The research method was semi-experimental with a pretest-posttest design with a control group. The statistical population consisted of all 6-10-year-old children with ASD referring to autism rehabilitation centers in Tehran in 2023. Twenty-four high-functioning ASD children were selected by the convenience sampling method and evaluated by the Sensory Profile-2 tests and the Bruininks-Oseretsky Test of Motor Proficiency after eight sessions of central stability exercises. The results were analyzed using univariate and multivariate analysis of covariance (ANCOVA) and SPSS version 22. Results: The results of univariate ANCOVA indicated that eight weeks of central stability exercises culminated in promoting sensory development in children with high-functioning ASD (P&lt;0.01). The results of multivariate ANCOVA indicated that the F value obtained for all three dimensions of motor development, including gross motor skill, fine motor skill, and upper limb coordination, was significant (P&lt;0.01). Conclusion: According to the results, it can be concluded that central stability exercises are among the efficient methods for the development of sensory-motor skills in children with high-functioning ASD, which can be used in special education and rehabilitation centers for these children.

Level of autistic traits in neurotypical adults predicts kinematic idiosyncrasies in their biological movements.

Over the last decade of research, a notable connection between autism spectrum disorder (ASD) and unique motor system characteristics has been identified, which may influence social communication through distinct movement patterns. In this study, we investigated the potential for features of the broader autism phenotype to account for kinematic idiosyncrasies in social movements expressed by neurotypical individuals. Fifty-eight participants provided recordings of point-light displays expressing three basic emotions and completed the Autism Spectrum Quotient (AQ). We extracted kinematic metrics from the biological movements using computer vision and applied linear mixed-effects modeling to analyze the relationship between these kinematic metrics and AQ scores. Our results revealed that individual differences in the total AQ scores, and the sub-scale scores, significantly predicted variations in kinematic metrics representing order, volume, and magnitude. The results of this study suggest that autistic traits may intricately influence the movement expressions at the microlevel, highlighting the need for a more nuanced understanding of the potential endophenotypic characteristics associated with social movements in neurotypical individuals.

Effect of Enriched Environment on Cerebellum and Social Behavior of Valproic Zebrafish

The etiology of autism spectrum disorder (ASD) has been linked to both genetic and epigenetic factors. Among the epigenetic factors, exposure to valproic acid (VPA), an antiepileptic and mood-modulating drug, has been shown to induce characteristic traits of ASD when exposed to during embryogenesis. Conversely, in animal models, enriched environment (EE) has demonstrated positive behavioral and neural effects, suggesting its potential as a complementary treatment to pharmacological approaches in central nervous system disorders. In this study, we utilized zebrafish to model ASD characteristics induced by VPA and hypothesized that sensory stimulation through EE could ameliorate the behavioral and neuroanatomical features associated with ASD. To test this hypothesis, we assessed social behavior, cerebellar volume, and Purkinje cell populations via histology and immunohistochemistry after exposing the fish to EE. The results revealed that zebrafish exposed to VPA exhibited social deficits, reduced cerebellar cortex volume, and a decrease in c-Fos-positive cells in the Purkinje layer. In contrast, VPA-exposed fish treated with EE showed increased socialization, augmented cerebellar cortex volume, and an elevation in c-Fos-positive Purkinje cells. These findings suggest that alterations induced by VPA may be ameliorated through EE treatment, highlighting the potential therapeutic impact of sensory stimulation in conditions related to ASD.

Conduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder.

The neuronal differences contributing to the etiology of autism spectrum disorder (ASD) are still not well defined. Previous studies have suggested that myelin and axons are disrupted during development in ASD. By combining structural and diffusion MRI techniques, myelin and axons can be assessed using extracellular water, aggregate g-ratio, and a new approach to calculating axonal conduction velocity termed aggregate conduction velocity, which is related to the capacity of the axon to carry information. In this study, several innovative cellular microstructural methods, as measured from magnetic resonance imaging (MRI), are combined to characterize differences between ASD and typically developing adolescent participants in a large cohort. We first examine the relationship between each metric, including microstructural measurements of axonal and intracellular diffusion and the T1w/T2w ratio. We then demonstrate the sensitivity of these metrics by characterizing differences between ASD and neurotypical participants, finding widespread increases in extracellular water in the cortex and decreases in aggregate g-ratio and aggregate conduction velocity throughout the cortex, subcortex, and white matter skeleton. We finally provide evidence that these microstructural differences are associated with higher scores on the Social Communication Questionnaire (SCQ) a commonly used diagnostic tool to assess ASD. This study is the first to reveal that ASD involves MRI-measurable in vivo differences of myelin and axonal development with implications for neuronal and behavioral function. We also introduce a novel formulation for calculating aggregate conduction velocity, that is highly sensitive to these changes. We conclude that ASD may be characterized by otherwise intact structural connectivity but that functional connectivity may be attenuated by network properties affecting neural transmission speed. This effect may explain the putative reliance on local connectivity in contrast to more distal connectivity observed in ASD.

Effects of different types of induced neonatal inflammation on development and behavior of C57BL/6 and BTBR mice

Neuroinflammation in the early postnatal period can disturb trajectories of the completion of normal brain development and can lead to mental illnesses, such as depression, anxiety disorders, and personality disorders later in life. In our study, we focused on evaluating short- and long-term effects of neonatal inflammation induced by lipopolysaccharide, poly(I:C), or their combination in female and male C57BL/6 and BTBR mice. We chose the BTBR strain as potentially more susceptible to neonatal inflammation because these mice have behavioral, neuroanatomical, and physiological features of autism spectrum disorders, an abnormal immune response, and several structural aberrations in the brain. Our results indicated that BTBR mice are more sensitive to the influence of the neonatal immune activation (NIA) on the formation of neonatal reflexes than C57BL/6 mice are. In these experiments, the injection of lipopolysaccharide had an effect on the formation of the cliff aversion reflex in female BTBR mice. Nonetheless, NIA had no delayed effects on either social behavior or anxiety-like behavior in juvenile and adolescent BTBR and C57BL/6 mice. Altogether, our data show that NIA has mimetic-, age-, and strain-dependent effects on the development of neonatal reflexes and on exploratory activity in BTBR and C57BL/6 mice.

Examining Language, Speech and Behaviour Characteristics: A Cross-Sectional Study in Saudi Arabia Using the Arabic Version of Gilliam Autism Rating Scale-Third Edition.

Autism spectrum disorder (ASD) exhibits diverse manifestations influenced by demographic factors. This study evaluates these variations within Saudi Arabia, aiming to investigate language, speech and behaviour characteristics across different demographics in Saudi Arabia using the Arabic Version of the Gilliam Autism Rating Scale-Third Edition (A-GARS-3). Employing a cross-sectional design, 178 participants were stratified by developmental status (n = 124 school settings, n = 54 clinical setting), sex (Females = 77, Males =101), age (range = 3-22), and geographical region (different provinces in Saudi Arabia). The A-GARS-3 measured ASD manifestations across six subscales. The study identified significant differences in ASD manifestations by developmental status, with higher ASD likelihood and severity in clinical settings. Younger children showed more pronounced ASD characteristics, and males were slightly more likely to be diagnosed with ASD. Geographical analysis revealed regional differences in severity. The findings underline the importance of demographic considerations in ASD assessment and diagnosis, suggesting the need for age-specific and culturally sensitive approaches. The A-GARS-3 is a reliable tool for the Saudi context. Regional disparities in ASD prevalence and severity indicate a need for tailored health policies and resources across Saudi provinces.