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Introduction: Autism Spectrum Disorder (ASD) presents significant challenges in social communication and interaction, critically impacting the lives of children with ASD. Traditional interventions, such as Applied Behavior Analysis (ABA) and Social Skills Training (SST), have been widely used to address social skill deficits in these children. While these methods are effective, they often require substantial resources, long-term engagement, and specialized expertise, which limit their accessibility and adaptability to diverse social contexts. Recent advancements in artificial intelligence (Al), particularly Transformer-based models, offer a novel opportunity to enhance and personalize social skills training. Methods: This study introduces a Public Health-Driven Transformer (PHDT) model specifically designed to improve social skills in children with ASD. By integrating public health principles with state-of-the-art Al methodologies, the PHDT model creates interventions that are adaptable, accessible, and sensitive to individual needs. Leveraging multi-modal data inputs-such as text, audio, and facialcues-PHDT provides real-time social context interpretation and adaptive feedback, enabling a more naturalistic and engaging learning experience. Results and discussion: Experimental results reveal that PHDT significantly outperforms traditional methods in fostering engagement, retention, and social skill acquisition. These findings highlight PHDT's potential to improve social competencies in children with ASD and to revolutionize access to specialized support within public health frameworks. This work underscores the transformative impact of Al-driven, public health-oriented interventions in promoting equitable access to essential developmental resources and enhancing the quality of life for children with ASD. [ABSTRACT FROM AUTHOR]

Introduction: Social impairments and repetitive behaviors are at the core symptoms of autism spectrum disorder (ASD). Intranasal administration of the neuropeptide oxytocin (OXT) is a promising treatment. However, there have been inconsistencies in the effects of OXT on social impairments and repetitive behaviors. Methods: A comprehensive search in PubMed, the Cochrane Library, Embase, and Web of Science was conducted to gather randomized controlled trials (RCTs) on the efficacy of OXT in patients diagnosed with ASD up to 11/06/2024. The core outcomes were social impairments measured by total Social Responsiveness Scale (SRS) scores and repetitive behaviors measured by the Repetitive Behavior Scale (RBS). Results: This meta-analysis ultimately included 12 RCTs with 498 ASD patients. In an initial analysis, intranasal OXT showed no significant effect on social impairments. For a high dose of 48 IU per day, a beneficial effect on social impairments was found. According to the dose–response meta-analysis, the results indicated that higher doses of OXT might be more effective for social impairments. Depending on repetitive behaviors, the overall analysis showed no significant effect, while the dose over 48 IU per day revealed significant results and the dose–response meta-analysis suggested that higher doses could be more effective for repetitive behaviors. Discussion: Although these findings show no consistent beneficial effects, the results of the dose–response meta-analysis suggest that high doses of intranasal OXT per day may be more effective in ASD. Systematic review registration: https://www.crd.york.ac.uk/prospero , identifier CRD42024567213. [ABSTRACT FROM AUTHOR]

Introduction: Autistic individuals may show several psychiatric co-occurrences, including Feeding and Eating Disorders (FEDs). Avoidant and Restrictive Food Intake Disorder (ARFID) consists of avoidance or restriction in food intake, leading to significant weight loss, nutritional deficiencies, and marked interference with psychosocial functioning. Both Autism Spectrum Disorder (ASD) and ARFID are characterized by the two main features of cognitive rigidity and sensory sensitivity, which may complicate differential diagnosis. There is a notable lack of information on the manifestation of ASD-ARFID co-occurrence, as well as tailored assessment tools and practice, and therapeutic approaches. Case description: This report provides a detailed description of L., a young girl with a late diagnosis of ASD who also developed unspecific depressive mood disorder and ARFID in co-occurrence. After the diagnosis of ASD, L. underwent multiple evaluations to address emerging psychiatric co-occurrences and symptom exacerbation, and in order to develop the most effective integrated treatment. Conclusion: The case of L. expands the knowledge on the phenotype of Autistic females and exemplifies how delayed diagnosis may exacerbate functioning differences and increase the camouflage phenomenon. Additionally, it underscores the importance of improving tailored evaluation, combined treatment plans, with both cognitive-behavioral therapy and drugs, and monitoring the evolving patterns of Autistic manifestations and associated psychiatric co-occurrences. [ABSTRACT FROM AUTHOR]

Objective: This study investigated whether children with Autistic Spectrum Disorder (ASD) can imagine object directed actions similarly to their typically developed (TD) peers. Study design: We tested the ability to imagine goal directed actions in children with ASD (n = 18) and TD (n = 18) peers by means of VMIQ-2 questionnaire and a novel behavioral task, in which children were requested to imagine some daily actions, after seeing them through videoclips presented on a computer screen. Observed actions lasted 4 s and children were requested to follow the same time course during imagination. During this motor imagery (MI) task, children were interrupted at a specific timepoint (e.g., at 1.5 s) from the beginning of the task. Afterwards, they had to select one of two frames extracted from the videoclips: one showed the correct timepoint at which the imagined action was stopped, the other depicted an earlier or later timepoint. Children had to press the key associated to the correct frame to provide their responses. Results: Both groups performed similarly in the questionnaire and in the novel MI task, where they showed the same error rate. Errors distribution suggests that all children exploited a similar strategy to solve the task, being errors mainly distributed in judging the later frame. Conclusion: These findings support the view that children with ASD can imagine actions similarly to their TD peers. These results do not fully support the Broken Mirror Hypothesis and may encourage the use of MI as a cognitive strategy in the rehabilitation of autism. [ABSTRACT FROM AUTHOR]

Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in social communication, repetitive behaviors, and sensory processing. Despite its prevalence, diagnosis can be lengthy, and access to appropriate treatment varies greatly. This project utilizes the power of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve Autism Spectrum Disorder diagnosis and treatment. A central data hub, the Master Data Plan (MDP), will aggregate and analyze information from diverse sources, feeding AI algorithms that can identify risk factors for ASD, personalize treatment plans based on individual needs, and even predict potential relapses. Furthermore, the project incorporates a patient-facing chatbot to provide information and support. By integrating patient data, empowering individuals with ASD, and supporting healthcare professionals, this platform aims to transform care accessibility, personalize treatment approaches, and optimize the entire care journey. Rigorous data governance measures will ensure ethical and secure data management. This project will improve access to care, personalize treatments for better outcomes, shorten wait times, boost patient involvement, and raise ASD awareness, leading to better resource allocation. This project marks a transformative shift toward data-driven, patient-centred ASD care in Italy. This platform enhances treatment outcomes for individuals with ASD and provides a scalable model for integrating AI into mental health, establishing a new benchmark for personalized patient care. Through AI integration and collaborative efforts, it aims to redefine mental healthcare standards, enhancing the well-being for individuals with ASD. [ABSTRACT FROM AUTHOR]

Background: Neuro-disabilities involve impairments of the nervous system, affecting brain development and functioning. Due to limited scientific data on neuro-disabilities in Tanzania, this study examines maternal characteristics in high-risk areas, such as the Southern Agricultural Growth Corridor (SAGCOT). Methods: This cross-sectional study sampled 286 children aged 0–5 years and their mothers in the SAGCOT region. Each mother selected the youngest child within the specified age range. Multi-stage sampling was used to choose clusters and areas for the study. The Malawi Developmental Assessment Tool (M-DAT) was used to assess the children's developmental levels. Descriptive analysis determined distribution patterns, while multivariate analyses were performed to identify significant factors. Modified Poisson regression with robust standard errors estimated prevalence ratios (PRs) and their 95% confidence intervals (CIs). Results: The study included 286 mother–child pairs from four clusters: Ihemi, Kilombero, Ludewa, and Mbarali. The children's median age was 24 months, with the majority aged between 13 and 48 months. Boys constituted a slight majority (59.4%). The majority of mothers were married (72.4%), had primary education (56.6%), and were engaged in non-farming occupations (56.3%). Neurodevelopmental assessments revealed that 11.2% of children were fully developed, while 88.8% exhibited development delays. Adjusted prevalence ratios (aPR) with 95% confidence intervals identified significant associations between developmental domains and demographic variables such as age, gender, marital status, and maternal occupation. Conclusion: The study highlights a high prevalence of neuro-disability among children in Tanzania's southern corridor, revealing disparities across regions and the impact of factors such as gender and marital status. Targeted interventions are essential to address these developmental challenges effectively and promote optimal child development and wellbeing. [ABSTRACT FROM AUTHOR]

Objectives: This comprehensive review and meta-analysis aimed to thoroughly identify the effectiveness of music therapy (MT) in improving behavioral symptoms in children with autism spectrum disorders (ASD) by analyzing the data from all relevant randomized controlled trials (RCTs) related to this field. Methods: From inception until September 18, 2024, PubMed, Web of Science, the Cochrane Library, SinoMed, and Embase were searched. Two reviewers extracted the data separately, and any controversies between the authors' assessments were resolved by conversation or speaking with another author. The behavioral symptoms scale score before and after the intervention was taken from the included trials and used to reflect the therapeutic effect of music therapy in children with autism. Results: 2607 records across all retrieved databases were discovered, thirteen of which were included in a meta-analysis with 1160 participants. According to the meta-analysis, children with autism showed a substantial improvement in their behavior symptoms when receiving music treatment (standardized mean difference [SMD] = -0.66, 95% confidence interval [CI]: -0.93 to -0.39, p < 0.001). With I 2 = 78% and P < 0.001, we did discover a medium level of heterogeneity among the included studies. Conclusions: MT has a positive impact on improving behavioral symptoms in children with autism. However, given the significant heterogeneity and limitations in this study, RCTs with rigorous methodological quality are still required to confirm the curative benefits of MT in autistic children precisely. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/ , identifier CRD42024597939. [ABSTRACT FROM AUTHOR]

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social communication and the presence of restrictive and repetitive behaviors. Investigating the etiological process and identifying an appropriate therapeutic target remain as formidable challenges to overcome ASD due to numerous risk factors and complex symptoms associated with the disorder. Recent studies have indicated that early rehabilitative intervention can alleviate the symptoms of individuals with ASD. However, there remain unsolved issues of behavioral intervention such as the appropriate time and types of therapies. In this study, we employed a mouse model prenatally exposed to valproic acid to establish a validated ASD mouse model and We found that paired-housing with control mice for 4 week after weaning palliated sociability deficits, anxiety and repetitive behaviors in this model of ASD-like behaviors, while paired-housing with their ASD littermate did not produce this effects. Furthermore, by evaluating different time window of paired-housing, we found that paired-housing during postnatal day 21 (P21) to P35, but not P21 to P28 or P35 to P49 or P28 to P35, is a critical period for the influence of paired-housing on autistic-like behaviors. Finally, paired-housing with control mice improved the impaired GABA system in this model of ASD. So our study demonstrates the therapeutic potential of environmental intervention during a critical period in the treatment of ASD. [ABSTRACT FROM AUTHOR]

Over the last three decades, dynamically evolving research using novel technologies, including virtual environments (VEs), has presented promising solutions for neuroscience and neuropsychology. This article explores the known and potential benefits and drawbacks of employing modern technologies for diagnosing and treating developmental disorders, exemplified by autism spectrum disorder (ASD). ASD's complex nature is ideal for illustrating the advantages and disadvantages of the digital world. While VEs' possibilities remain under-explored, they offer enhanced diagnostics and treatment options for ASD, augmenting traditional approaches. Unlike real-world obstacles primarily rooted in social challenges and overwhelming environments, these novel technologies provide unique compensatory opportunities for ASD-related deficits. From our perspective in addition to other recent work, digital technologies should be adapted to suit the specific needs of individuals with ASD. [ABSTRACT FROM AUTHOR]

Objective: Repetitive and restricted behaviors (RRBs) are a core symptom of autism spectrum disorder (ASD), but effective treatment approaches are still lacking. Executive function (EF) has been identified as a promising target, as research increasingly shows a link between EF deficits and the occurrence of RRBs. However, the neural mechanisms that connect the two remain unclear. Since the orbitofrontal cortex (OFC) plays a role in both EF and RRBs, its functional connectivity dynamics could offer valuable insights into this relationship. Methods: This study analyzed data from the Autism Brain Imaging Data Exchange (ABIDE) II database to explore brain function in 93 boys with ASD and 110 typically developing (TD) boys. Time-varying functional connectivity was analyzed between eight OFC subregions and other brain areas. By employing linear regression, the study assessed how atypical connectivity dynamics and EF influence RRBs. Additionally, mediation analysis with bootstrapping was used to determine how EF mediates the relationship between atypical connectivity and RRBs. Results: We found significant differences in the variance of FC between ASD and TD groups, specifically in the OFC subregion in L-prefrontal and the left amygdala (t = 5.00, FDR q < 0.01). Regression analyses revealed that increased variance of this FC and EF significantly impacted RRBs, with inhibition, emotional control, and monitor showing strong associations (standardized β = 0.60 to 0.62, p < 0.01), which also had significant indirect effects on the relationship between the above dynamic FC and RRBs, which accounted for 59% of the total effect. Conclusion: This study highlights the critical role of EFs as a key mechanism in addressing RRBs in ASD. Specifically, it points out that EFs mediate the influence of atypical time-varying interactions within the OFC-amygdala circuit on RRBs. [ABSTRACT FROM AUTHOR]

Background: This study examined the profiles of adaptive behavior development in adults with autism spectrum disorder (ASD) and severe intellectual disability (ID), and the relationships between the levels of the different domains and subdomains of adaptive development and the intensity of autistic symptomatology. Participants: This study involved 71 adults (44 men and 27 women with average ages of 39 years 7 months and 36 years 2 months, respectively) living in medico-social institutions and having a level of adaptive development corresponding to age below 3 years 4 months and a level of cognitive development corresponding to ages between 12 and 24 months. Methods: ASD was diagnosed using Pervasive Development Disorder-Mental Retardation Scale (PDD-MRS) and Childhood Autistic Rating Scale (CARS), ID and its severity were determined based on the Diagnostic Statistical Manual-5 (DSM-5) criteria, and the very low cognitive developmental level was assessed using the Socio-emotional Cognitive Evaluation Battery (Adrien, Pearson-ECPA, 2007), adapted for adults (SCEB-A). Adaptive development was assessed using the Vineland-II tool. Results: The adaptive developmental profile was heterogeneous: the median levels of the three domains of socio-adaptive development differed significantly from each other, and the domain of Daily Living was the most developed. Among the nine subdomains, the weakest developmental levels corresponded to Expressive Language, Interpersonal Relationships, and Play/Leisure. By contrast, the highest levels corresponded to Writing and Personal and Domestic Autonomy. Significant and negative relationships were noted between the intensity of autism severity and the levels of development in Communication and Daily Living but not Socialization. These results are discussed to highlight the best-developed adaptive domains and those to be improved. [ABSTRACT FROM AUTHOR]

Background: Autism Spectrum Disorder (ASD) presents early communication and social challenges, necessitating timely and accessible intervention. Pre-school Autism Communication Therapy (PACT), a parent-mediated intervention, empowers parents to facilitate their child's development. However, accessibility issues often hinder families from accessing evidence-based intervention. This pilot study assessed the feasibility of videoconferencing-based PACT as a precursor for a multicenter randomized controlled trial. Methodology: A mixed-methods approach integrated quantitative retrospective measures and semi-structured interviews. Participants included children diagnosed with ASD who received PACT, and PACT-trained professionals with videoconferencing experience. Feasibility was assessed through audio and video quality, internet stability, and session length. Professionals' experiences were analyzed using a qualitative thematic analysis. Autism severity, parent–child interaction, and therapeutic changes were also described. Results: Nine parent–child dyads and eight PACT therapists were included in the study. Videoconferencing-based PACT intervention proved feasible, with 95.1% of the 41 sessions rated as feasible on the scale. Technical challenges such as audio quality (7.3%) and screen sharing (19.1%) have emerged, which therapists circumvented to maintain intervention quality. Autism severity and parent–child interaction showed positive trends, supported by qualitative findings reporting increased parental confidence and enhanced synchrony. The core components of PACT were successfully adapted to the remote setting. Conclusion: This pilot study suggests that delivering PACT via videoconferencing is a feasible approach to enhance the accessibility of evidence-based interventions for ASD. Larger-scale research with rigorous controls is required to validate these promising findings. An ongoing multicenter randomized trial aims to address this gap. [ABSTRACT FROM AUTHOR]

In this review, it is evaluated the progress in the application of stem cell therapy to ameliorate the symptoms of bipolar disorder, major depression, schizophrenia, and autism. These disorders are highly prevalent in clinical medicine and are responsible for high levels of psychosocial disability among patients. All of them share common biomedical features, such as complex and variable genetic substrates, significant susceptibility to environmental changes, and insufficient knowledge of their pathogenesis. In addition, the responsiveness of patients to pharmacological treatment is heterogeneous, and in some cases, no treatment is available. Therefore, the development of stem cell-based regenerative medicine and its possible combination with emerging therapeutic approaches that promote neural plasticity are expected to advance neuropsychiatry in the next few decades. [ABSTRACT FROM AUTHOR]

Aim: Functional neuroimaging studies have suggested that prefrontal cortex dysfunction occurs in individuals with autism spectrum disorder (ASD). Near-infrared spectroscopy (NIRS) is a noninvasive optical tool used to investigate oxygenation and hemodynamic responses in the cerebral cortex by measuring changes in oxygenated hemoglobin. Previous studies using NIRS have suggested that male children with ASD exhibit reduced hemodynamic responses in the dorsolateral prefrontal cortex; however, only a few studies examined this response in adults with ASD. Methods: We examined the characteristics of prefrontal hemodynamic responses in 114 adults with ASD and 84 typically developing controls. Relative concentrations of oxygenated hemoglobin were measured with frontal probes every 0.1 s during the Stroop color-word task, using 24-channel NIRS. Results: Our findings demonstrated that the oxygenated hemoglobin changes in the ASD group were significantly smaller than those in the control group at channels 19, 20, 23, and 24- located over the orbitofrontal cortex and frontal pole (p < 0.05 for all three channels). The differences in oxygenated hemoglobin changes at Ch 20 were significantly correlated with the Autism-Spectrum Quotient Japanese version (AQ-J) total score and attention switching score, which is a symptom cluster of AQ-J (p = 0.043 and p = 0.009, respectively). Conclusion: Adults with ASD have reduced prefrontal hemodynamic responses as measured using near-infrared spectroscopy and the reduced activity of the frontal pole in particular is related to reduced attentional function. [ABSTRACT FROM AUTHOR]

Introduction: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficits in social interaction and communication, along with restricted and repetitive behaviors. Both genetic and environmental factors contribute to ASD, with prenatal exposure to valproic acid (VPA) and nicotine being linked to increased risk. Impaired adult hippocampal neurogenesis, particularly in the ventral region, is thought to play a role in the social deficits observed in ASD. Methods: In this study, we investigated social behavior and adult hippocampal neurogenesis in C57BL/6J mice prenatally exposed to VPA or nicotine, as well as in genetically modified ASD models, including IQSEC2 knockout (KO) and NLGN3-R451C knock-in (KI) mice. Sociability and social novelty preference were evaluated using a three-chamber social interaction test. Adult hippocampal neurogenesis was assessed by BrdU and DCX immunofluorescence to identify newborn and immature neurons. Results: VPA-exposed mice displayed significant deficits in social interaction, while nicotine-exposed mice exhibited mild impairment in social novelty preference. Both IQSEC2 KO and NLGN3-R451C KI mice demonstrated reduced adult neurogenesis, particularly in the ventral hippocampus, a region associated with social behavior and emotion. Across all ASD mouse models, a significant reduction in BrdU+/NeuN+ cells in the ventral hippocampus was observed, while dorsal hippocampal neurogenesis remained relatively unaffected. Similar reductions in DCX-positive cells were identified in VPA, nicotine, and NLGN3-R451C KI mice, indicating impaired proliferation or differentiation of neuronal progenitors. Discussion: These findings suggest that impaired adult neurogenesis in the ventral hippocampus is a common hallmark across ASD mouse models and may underlie social behavior deficits. This study provides insight into region-specific neurogenic alterations linked to ASD pathophysiology and highlights potential targets for therapeutic interventions. [ABSTRACT FROM AUTHOR]

Research analyzing the effects of bilingual language exposure on children with autism spectrum disorder (ASD) has increased in frequency. Utilizing the Bayley Scales of Infant and Toddler Development—Third Edition, the current study analyzed the effects of bilingual language exposure and age on language development, cognitive development, and social emotional development in toddlers with ASD. Older children demonstrated higher language scores than younger children. The interaction between ASD and bilingualism did not yield statistical significance for language, cognitive, or social emotional scores; however, the interaction between age and bilingualism was found to be significant. Age may have more of an influence on language development than ASD. Children with ASD can be raised in bilingual homes without affecting long-term development. [ABSTRACT FROM AUTHOR]

Behavioral copying is a key process in group actions, but it is challenging for individuals with autism spectrum disorder (ASD). We investigated behavioral contagion, or instinctual replication of behaviors, in Krushinky-Molodkina (KM) rats (n = 16), a new potential rodent model for ASD, compared to control Wistar rats (n = 15). A randomly chosen healthy Wistar male ("demonstrator rat") was introduced to the homecage of experimental rats ("observers") 10–14 days before the experiments to become a member of the group. For the implementation of the behavioral contagion experiment, we used the IntelliCage system, where rats can live in a group of 5–6 rats and their water visits can be automatically scored. During the experiment, the demonstrator was taken out of IntelliCage for a pre-test water deprivation and then placed back for the behavioral contagion test. As a result, a drinking behavior of the water-deprived demonstrator rat prompted water-seeking and drinking behaviors in the whole group. Unlike the Wistar controls, KM observers showed fewer visits to the drinking bottles, particularly lacking inspection visits (i.e., visits without drinking). The control group, in contrast, exhibited a dynamic, cascade-like visiting of the water corners. The proportion of activated observers in KM rats was significantly lower, as compared to Wistar ones, and they did not mimic other observer rats. KM rats, therefore, displayed an attenuated pattern of behavioral contagion, highlighting social deficits in this strain. This study suggests that measuring group dynamics of behavioral contagion in an automated, non-invasive setup offers valuable insights into social behavior in rodents. [ABSTRACT FROM AUTHOR]

Background: Autism Spectrum Disorder (ASD) is a complex lifelong neurodevelopmental disorder with a high and increasing global prevalence. Although the precise causes are unknown, both genetic and environmental factors, including maternal ones during pregnancy, significantly influence its development. Therefore, this study endeavors to explore the potential causes of autism, including maternal and paternal prenatal risk factors, as well as antenatal and natal maternal risk factors, and their associations with the severity of ASD in mothers of children with ASD, from February to May 2024. Methods: At an autism center in Saudi Arabia, this cross-sectional study enrolled 168 mothers of children diagnosed with ASD. The web-based survey employs a structured questionnaire to gather comprehensive prenatal, natal, and demographic data. The collected data was coded and analyzed using suitable tests. Results: The majority of the surveyed 168 mothers with autistic children reported having autism spectrum disorder (43.8%), moderate autism (31.9%), mild autism (15.6%), and severe autism (8.8%). Most autistic children had a history of one or both maternal and/or paternal antenatal exposures: 79.2% had soft drink consumption, 35.1% smoked, 24.4% had chronic physical diseases, and 20.8% had psychological disease. Regarding maternal antenatal conditions , 37% had a history of recurrent infection, 29.2% had anemia, 15.5% had a history of threatened abortion or bleeding, as well as exposure to air pollution, and 22 (13.1%) had a history of gestational diabetes. Significant (p < 0.05) predictors of severe autism were gestational diabetes aOR 4.553 (95% CI: [1.518, 14.25], birth oxygen desaturation 4.142 (95% CI: [1.437, 12.45]. Furthermore, the likelihood of classifying a child's ASD as severe increases by 7.1% with each year of age1.071 (95% CI: [1.002, 1.15]. Conclusion: ASD is a prevalent health condition that has many interrelationships with prenatal, maternal (medical, environmental, and psychosocial factors), and natal conditions. Prospective studies are essential for understanding and addressing these ASD risk factors. [ABSTRACT FROM AUTHOR]

Background: Although schizophrenia and autism spectrum disorder (ASD) are currently conceptualized as distinct disorders, the similarity in their symptoms often makes differential diagnosis difficult. This study aimed to identify similarities and differences in the symptoms of schizophrenia and ASD to establish a more useful and objective differential diagnostic method and to identify ASD traits in participants with schizophrenia. Methods: A total of 40 participants with schizophrenia (13 females, mean age: 34 ± 11 years) and 50 participants with ASD (15 females, mean age: 34 ± 8 years) were evaluated using the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) and other clinical measures. Results: ADOS-2 Module 4 original and revised algorithms did not significantly discriminate schizophrenia and ASD, whereas the "Predictive Model" combining the A7, A10, B1, B6, B8, and B9 showed superior accuracy in differentiating both disorders. Both algorithms in the ADOS-2 had high schizophrenia false-positive rates, and significant positive correlations were observed between all domains and the total scores of both algorithms in the ADOS-2 and Positive and Negative Syndrome Scale (PANSS) negative scale scores in the schizophrenia group. The PANSS negative-scale scores were significantly higher in patients positive for autism spectrum cut-offs (CutOff-POS) than in patients negative for autism spectrum cut-offs (CutOff-NEG) for both algorithms in the ADOS-2. Logistic regression analysis revealed that the positivity for both algorithm scales in the ADOS-2 was predicted using only the PANSS negative scale scores. Conclusions: This study showed that a combination of several items in the ADOS-2 is useful for discriminating between ASD and schizophrenia. The study's findings could help develop strategies benefiting ASD and schizophrenia treatments. [ABSTRACT FROM AUTHOR]

Background: CRMP1 is a key protein involved in brain development. Methods: We performed genetic testing through whole-exome sequencing (WES) in an individual with a neurodevelopmental disorder. Results: We identified a de novo heterozygous CRMP1 NM_001014809.3:c.1755del (p.Lys586fs) variant in the affected individual. This mutation was submitted to ClinVar (SCV005196589). Conclusion: Currently, the CRMP1 gene has no clear disease phenotype association in the Online Mendelian Inheritance in Man (OMIM) database. Our report may provide evidence for an association between the CRMP1 gene and neurodevelopmental disorders (NDDs). [ABSTRACT FROM AUTHOR]

Objective: The study aimed to assess the quality of life (QoL) in children with autism spectrum disorder (ASD) compared to typically developing peers, identify key influencing factors such as socio-demographic and comorbid conditions, and examine the impact of symptom severity on QoL outcomes. Methods: In this cross-sectional study conducted in Saudi Arabia, 75 children with ASD were compared to 75 typically developing children matched for age and gender. QoL was evaluated using the Pediatric Quality of Life Inventory (PedsQL), while the severity of autism symptoms was assessed using the Autism Diagnostic Observation Schedule (ADOS). Additional variables, including socio-demographic factors, comorbid conditions, and family environment, were collected through structured interviews and clinical assessments. Statistical analyses, including independent samples t-tests, multiple linear regression, and ANOVA, were employed to compare QoL scores, identify predictors, and assess the impact of symptom severity on QoL outcomes. Results: The mean overall QoL score for children with ASD was 57.86 (SD = 13.25) compared to 81.67 (SD = 10.89) for typically developing children (t = -10.56, p < 0.001, Cohen's d = 1.90). Socioeconomic status (β = -0.25, t = -5.00, p < 0.001), comorbid ADHD (β = -0.35, t = -5.83, p < 0.001), and parental mental health issues (β = -0.45, t = -9.00, p < 0.001) were significant predictors of lower QoL. ANOVA results showed that children with severe autism symptoms had the lowest QoL scores (mean = 40.12, SD = 15.67; F = 20.45, p < 0.001, η² = 0.45). Conclusion: Children with ASD showed significantly lower QoL, particularly in social and school functioning, highlighting the need for targeted interventions addressing core symptoms and environmental and family factors to improve outcomes. [ABSTRACT FROM AUTHOR]

AST-001, a novel syrup formulation of L-serine, was developed for the treatment of autism spectrum disorders (ASD) in pediatric patients. This study aimed to establish a pharmacokinetic (PK)-pharmacodynamic (PD) model to elucidate the effect of AST-001 on adaptive behavior in children with ASD. Due to the absence of PK samples in pediatric patients, a previously published population PK model was used to link the PD model by applying an allometric scale to body weight. The time courses of Korean-Vineland Adaptive Behavior Scale-II Adaptive Behavior Composite (K-VABS-II-ABC) scores were best described by an effect compartment model with linear drug effects (Deff, 0.0022 L/μg) and linear progression, where an equilibration half-life to the effect compartment was approximately 15 weeks. Our findings indicated a positive correlation between the baseline K-VABS-II-ABC score (E0, 48.51) and the rate of natural progression (Kprog, 0.015 day−1), suggesting enhanced natural behavioral improvements in patients with better baseline adaptive behavior. Moreover, age was identified as a significant covariate for E0 and was incorporated into the model using a power function. Based on our model, the recommended dosing regimens for phase III trials are 2, 4, 6, 10, and 14 g, administered twice daily for weight ranges of 10–13, 14–20, 21–34, 35–49, and >50 kg, respectively. These doses are expected to significantly improve ASD symptoms. This study not only proposes an optimized dosing strategy for AST-001 but also provides valuable insights into the PK-PD relationship in pediatric ASD treatment. [ABSTRACT FROM AUTHOR]

Background: The prevalence of autism spectrum disorder (ASD) has significantly risen in the past three decades, prompting researchers to explore the potential contributions of environmental factors during pregnancy to ASD development. One such factor of interest is gestational hypothyroxinemia (HTX), a frequent condition in pregnancy associated with cognitive impairments in the offspring. While retrospective human studies have linked gestational HTX to autistic traits, the cellular and molecular mechanisms underlying the development of ASD-like phenotypes remain poorly understood. This study used a mouse model of gestational HTX to evaluate ASD-like phenotypes in the offspring. Methods: To induce gestational HTX, pregnant mice were treated with 2-mercapto-1-methylimidazole (MMI), a thyroid hormones synthesis inhibitor, in the tap-drinking water from embryonic days (E) 10 to E14. A separate group received MMI along with a daily subcutaneous injection of T4, while the control group received regular tap water during the entire pregnancy. Female and male offspring underwent assessments for repetitive, anxious, and social behaviors from postnatal day (P) 55 to P64. On P65, mice were euthanized for the evaluation of ASD-related inflammatory markers in blood, spleen, and specific brain regions. Additionally, the expression of glutamatergic proteins (NLGN3 and HOMER1) was analyzed in the prefrontal cortex and hippocampus. Results: The HTX-offspring exhibited anxious-like behavior, a subordinate state, and impaired social interactions. Subsequently, both female and male HTX-offspring displayed elevated proinflammatory cytokines in blood, including IL-1β, IL-6, IL-17A, and TNF-α, while only males showed reduced levels of IL-10. The spleen of HTX-offspring of both sexes showed increased Th17/Treg ratio and M1-like macrophages. In the prefrontal cortex and hippocampus of male HTX-offspring, elevated levels of IL-17A and reduced IL-10 were observed, accompanied by increased expression of hippocampal NLGN3 and HOMER1. All these observations were compared to those observed in the Control-offspring. Notably, the supplementation with T4 during the MMI treatment prevents the development of the observed phenotypes. Correlation analysis revealed an association between maternal T4 levels and specific ASD-like outcomes. Discussion: This study validates human observations, demonstrating for the first time that gestational HTX induces ASD-like phenotypes in the offspring, highlighting the need of monitoring thyroid function during pregnancy. [ABSTRACT FROM AUTHOR]

The development of early childhood vocabulary is influenced by both biological and environmental factors, which shape language acquisition. This research investigates the variability in early expressive vocabulary among typically developing children (TD), Late Talkers (LTs), and those at risk for neurodevelopmental conditions like Autism Spectrum Disorder (ASD), and Developmental Language Disorder (DLD). Participants included 132 Mexican Spanish-speaking children: 37 with TD (M = 24.89, SD =4.01), 37 LTs (M = 24.78, SD 3.51), 41 at risk for ASD (M = 24.39, SD = 4.31) and 17 at risk for DLD (M = 37.71, SD = 4.50). The MacArthur-Bates Communicative Development Inventory II was utilized to assess 23 vocabulary categories, which were grouped into six broader categories (nouns, verbs, adjectives-adverbs, functional words, routines and sounds-onomatopoeias). The results indicated differences in vocabulary distribution among the groups. Although TD children generally exhibited the highest performance, there was notable variability within this group. Both LTs and children at risk for ASD showed differences compared to TD children, with LTs demonstrating the most reduced lexical usage. Children at risk for DLD and LTs displayed similar lexical profiles, characterized by reduced use of verbs and functional words. LTs and most children at risk for ASD exhibited low usage across all vocabulary categories. This analysis identified distinct vocabulary profiles among TD, LTs, ASD, and DLD groups, with variability across vocabulary categories reflecting the unique characteristics of each group. These findings enhance our understanding of the heterogeneity in early language development across clinical populations. [ABSTRACT FROM AUTHOR]

The services provided to persons with autism spectrum disorder (ASD) and their families are considered the basic factors that help families meet their needs and those of their children. These services help persons with ASD attain an appropriate level of independence within the society. Therefore, this study aimed to assess the Parents' satisfaction with the quality of services related to family guidance and education, diagnostic and evaluation services, support and intervention services, and services that aim to improve equal opportunities and life quality among persons with ASD and their parents in Saudi Arabia. This study also aimed to identify the differences in the quality of these services with regard to the age stage of the person with ASD. The study sample consisted of 301 parents of persons with ASD, including 93 fathers and 208 mothers. In this study, a quantitative approach through a questionnaire was used to collect data. Results of this study showed that the parents participating in the study reported the availability of services at an unsatisfactory level with regard to family guidance and education services, support and intervention services, and services that help to improve life quality and equal opportunities. Although the quality of diagnostic and evaluation services was satisfactory, the results indicated no differences in the quality of these services based on the ages of the persons with ASD. The results of this study indicated the importance of developing these services and subjecting them to international quality standards. [ABSTRACT FROM AUTHOR]

Background: Thyroid hormones (THs) are essential for brain development. Numerous studies have identified significant links between thyroid dysfunction and cognitive function. However, research on the significance and necessity of thyroid function tests in diagnosis of neurological disorders is limited and subject to controversy. Methods: Our study employed a combination of meta-analysis and case-control design. For the meta-analysis, we conducted a systematic search of online databases for studies that compared thyroid function tests in children with neurological disorders to controls. In our case-control study, we recruited a total of 11836 children, comprising 7035 cases and 4801 healthy controls. Wilcoxon Rank Sum Test was used to determine characteristics of thyroid function between the cases and healthy controls. In order to exclude the false discovery rate (FDR), the Benjamini-Hochberg (BH) procedure is applied. Results: A total of 12 relevant literature sources were included in the meta-analysis. Compared with controls, free thyroxine (FT4) levels were significantly decreased in neurological disorders in meta-analysis (MD = -0.29, 95% CI: -0.50 to -0.09), whereas thyroid-stimulating hormone (TSH) levels showed no significant difference (MD = -0.07, 95% CI: -0.36 to 0.21). In our case-control study, levels of free thyroxine (FT4), total triiodothyronine (TT3), total thyroxine (TT4), and anti-thyroglobulin antibodies (TG-Ab) were notably reduced among individuals with neurological disorders, compared with healthy controls (P <0.001, P< 0.001, P =0.036, P =0.006). However, thyroid-stimulating hormone (TSH) levels did not show any statistically significant differences among the cases and controls. Conclusions: Our research demonstrates that, in comparison to controls, children with neurological disorders exhibited a significant decrease in FT4 levels, while TSH levels remained unchanged. This finding provides a reference for potential serum marker of neurological disorders in children. Replication in future studies with the assessment of THs is needed to determine whether thyroid function should be included as a routine screening in these children. [ABSTRACT FROM AUTHOR]

DNA methylation plays a crucial role in development, aging, degeneration of various tissues and dedifferentiated cells. This review explores the multifaceted impact of DNA methylation on the retina and brain during development and pathological processes. First, we investigate the role of DNA methylation in retinal development, and then focus on retinal diseases, detailing the changes in DNA methylation patterns in diseases such as diabetic retinopathy (DR), age-related macular degeneration (AMD), and glaucoma. Since the retina is considered an extension of the brain, its unique structure allows it to exhibit similar immune response mechanisms to the brain. We further extend our exploration from the retina to the brain, examining the role of DNA methylation in brain development and its associated diseases, such as Alzheimer's disease (AD) and Huntington's disease (HD) to better understand the mechanistic links between retinal and brain diseases, and explore the possibility of communication between the visual system and the central nervous system (CNS) from an epigenetic perspective. Additionally, we discuss neurodevelopmental brain diseases, including schizophrenia (SZ), autism spectrum disorder (ASD), and intellectual disability (ID), focus on how DNA methylation affects neuronal development, synaptic plasticity, and cognitive function, providing insights into the molecular mechanisms underlying neurodevelopmental disorders. [ABSTRACT FROM AUTHOR]

Interaction dynamics provide information about how social interactions unfold over time and have implications for communication development. Characterizing social interaction in autistic people who are minimally verbal (MV) has the potential to illuminate mechanisms of change in communication development and intervention. The purpose of this scoping review was to investigate the current evidence characterizing interaction dynamics in MV autistic individuals, methods used to measure interaction dynamics in this population, and opportunities for future research. Articles were included if participants were diagnosed with autism, considered MV, if interaction occurred with a human communication partner during live in-person interaction, and if variables were derived by measuring the relationship between behaviors in both partners. The seven articles included in this review demonstrate that limited research describes interaction dynamics in this population, and that behavioral coding measures can be leveraged to assess constructs such as turn-taking, social contingency, and balance in social interactions. While there is some evidence describing how MV autistic individuals and their communication partners construct reciprocal interaction, there is variability in how interaction dynamics are measured and limited evidence describing individual differences. Recommendations for future research are discussed. [ABSTRACT FROM AUTHOR]

The inclusion of students with autism spectrum disorder (ASD) in mainstream education (primary and secondary, in the range of 4-5 to 8-10 years old) is a complex task that has long challenged both educators and health professionals. However, the correct use of digital technologies such as personalization settings and interaction with robots has clearly shown how these new technologies can benefit ASD students. However, it is essential to characterize the profile, problems, and needs of each student, since it is not possible to generalize an accessible approach for all users. The work presented shows the creation and validation, through pilot tests, of an instrument that outlines the main needs of a student with ASD, based on behavioral variables. In a later phase, instructional sequences will be designed and adapted through digital tablets and interaction with a robot to improve specific aspects identified in the initial profile. The results demonstrate the method's ability to assess and prioritize profiles satisfactorily which helps create a design adjusted to each student. The first pilot tests have been well received by ASD students, who have shown increased interest in the contents and methods used in this approach. Motivation levels and engagement have also increased, and social interactions with their peers have improved. [ABSTRACT FROM AUTHOR]

Although mentalizing abilities in autistic adults without intelligence deficits are similar to those of control participants in tasks relying on verbal information, they are dissimilar in tasks relying on non-verbal information. The current study aims to investigate mentalizing behavior in autism in a paradigm involving two important nonverbal means to communicate mental states: eye gaze and speech intonation. In an eye-tracking experiment, participants with ASD and a control group watched videos showing a virtual character gazing at objects while an utterance was presented auditorily. We varied the virtual character's gaze duration toward the object (600 or 1800 ms) and the height of the pitch peak on the accented syllable of the word denoting the object. Pitch height on the accented syllable was varied by 45 Hz, leading to high or low prosodic emphasis. Participants were asked to rate the importance of the given object for the virtual character. At the end of the experiment, we assessed how well participants recognized the objects they were presented with in a recognition task. Both longer gaze duration and higher pitch height increased the importance ratings of the object for the virtual character overall. Compared to the control group, ratings of the autistic group were lower for short gaze, but higher when gaze was long but pitch was low. Regardless of an ASD diagnosis, participants clustered into three behaviorally different subgroups, representing individuals whose ratings were influenced (1) predominantly by gaze duration, (2) predominantly by pitch height, or (3) by neither, accordingly labelled "Lookers," "Listeners" and "Neithers" in our study. "Lookers" spent more time fixating the virtual character's eye region than "Listeners," while both "Listeners" and "Neithers" spent more time fixating the object than "Lookers." Object recognition was independent of the virtual character's gaze duration towards the object and pitch height. It was also independent of an ASD diagnosis. Our results show that gaze duration and intonation are effectively used by autistic persons for inferring the importance of an object for a virtual character. Notably, compared to the control group, autistic participants were influenced more strongly by gaze duration than by pitch height. [ABSTRACT FROM AUTHOR]

Food selectivity is common in children with Autism Spectrum Disorder (ASD). The treatment used can be invasive and difficult to implement, necessitating the exploration of multicomponent approaches. This study presents the case of a 9-year-old autistic girl with severe food selectivity, who ate exclusively liquid and semi-solid foods. A multicomponent intervention protocol was developed, including stimulus fading and positive reinforcement techniques, to increase acceptance of new textures and foods. Treatment sessions showed significant improvement in acceptance of semi-solid and novel foods, with a reduction in problem behaviors associated with mealtime. This study suggests that a multicomponent intervention can significantly improve food acceptance and reduce mealtime distress, proving to be a practical and effective treatment strategy in an autistic child. The intervention led to an increase in food acceptance and a reduction in mealtime-related distress, potentially improving the child and family's quality of life. [ABSTRACT FROM AUTHOR]

Olfactory dysfunction has emerged as a hallmark feature shared among several neurological conditions, including both neurodevelopmental and neurodegenerative disorders. While diseases of both categories have been extensively studied for decades, their association with olfaction has only recently gained attention. Olfactory deficits often manifest already during prodromal stages of these diseases, yet it remains unclear whether common pathophysiological changes along olfactory pathways cause such impairments. Here we probe into the intricate relationship between olfactory dysfunction and neurodegenerative and neurodevelopmental disorders, shedding light on their commonalities and underlying mechanisms. We begin by providing a brief overview of the olfactory circuit and its connections to higher-associated brain areas. Additionally, we discuss olfactory deficits in these disorders, focusing on potential common mechanisms that may contribute to olfactory dysfunction across both types of disorders. We further debate whether olfactory deficits contribute to the disease propagation or are simply an epiphenomenon. We conclude by emphasizing the significance of olfactory function as a potential pre-clinical diagnostic tool to identify individuals with neurological disorders that offers the opportunity for preventive intervention before other symptoms manifest. [ABSTRACT FROM AUTHOR]

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by diverse clinical features. EEG biomarkers such as spectral power and functional connectivity have emerged as potential tools for enhancing early diagnosis and understanding of the neural processes underlying ASD. However, existing studies yield conflicting results, necessitating a comprehensive, data-driven analysis. We conducted a retrospective cross-sectional study involving 246 children with ASD and 42 control children. EEG was collected, and diverse EEG features, including spectral power and spectral coherence were extracted. Statistical inference methods, coupled with machine learning models, were employed to identify differences in EEG features between ASD and control groups and develop classification models for diagnostic purposes. Our analysis revealed statistically significant differences in spectral coherence, particularly in gamma and beta frequency bands, indicating elevated long range functional connectivity between frontal and parietal regions in the ASD group. Machine learning models achieved modest classification performance of ROC-AUC at 0.65. While machine learning approaches offer some discriminative power classifying individuals with ASD from controls, they also indicate the need for further refinement. [ABSTRACT FROM AUTHOR]

In recent years, the capabilities of Large Language Models (LLMs), such as ChatGPT, to imitate human behavioral patterns have been attracting growing interest from experimental psychology. Although ChatGPT can successfully generate accurate theoretical and inferential information in several fields, its ability to exhibit a Theory of Mind (ToM) is a topic of debate and interest in literature. Impairments in ToM are considered responsible for social difficulties in many clinical conditions, such as Autism Spectrum Disorder (ASD). Some studies showed that ChatGPT can successfully pass classical ToM tasks, however, the response style used by LLMs to solve advanced ToM tasks, comparing their abilities with those of typical development (TD) individuals and clinical populations, has not been explored. In this preliminary study, we administered the Advanced ToM Test and the Emotion Attribution Task to ChatGPT 3.5 and ChatGPT-4 and compared their responses with those of an ASD and TD group. Our results showed that the two LLMs had higher accuracy in understanding mental states, although ChatGPT-3.5 failed with more complex mental states. In understanding emotional states, ChatGPT-3.5 performed significantly worse than TDs but did not differ from ASDs, showing difficulty with negative emotions. ChatGPT-4 achieved higher accuracy, but difficulties with recognizing sadness and anger persisted. The style adopted by both LLMs appeared verbose, and repetitive, tending to violate Grice's maxims. This conversational style seems similar to that adopted by high-functioning ASDs. Clinical implications and potential applications are discussed. [ABSTRACT FROM AUTHOR]

Introduction: Children diagnosed with autism spectrum disorder (ASD) commonly encounter difficulties in social interactions and communication, significantly affecting their overall wellbeing. One proposed strategy to address these challenges is through physical exercise interventions. This study aims to conduct a meta-analysis to assess the impact of physical exercise interventions on the social skills of children with ASD. Methods: To perform this meta-analysis, we followed the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) Statement and the practical guide for transparent reporting of systematic reviews. Eligible studies included randomized controlled trials or quasi-experimental studies investigating the effects of physical exercise interventions on social skills among children with ASD. We used the standardized mean difference (SMD) to measure effect size. Results: Sixteen studies were included in the meta-analysis. The results indicated a significant improvement in social skills among children with ASD following physical exercise interventions (SMD = −0.54, 95% CI = [−0.63; −0.44]). The moderator analysis underscored the crucial role of age in explaining the intervention outcomes for enhancing social skills, with interventions lasting more than 12 weeks recommended for better social skills improvement. Discussion: The findings of this meta-analysis provide robust evidence supporting the efficacy of physical exercise interventions in enhancing the social skills of children with ASD. The moderator analysis underscores the importance of considering both the mean age and duration of interventions when implementing such programs. These results underscore the significance of physical exercise as a viable option for improving social skills in this population. [ABSTRACT FROM AUTHOR]

Individuals with autism spectrum disorder (ASD) show impaired mentalizing skills, specifically in understanding intentions. They have difficulty understanding social situations with multiple cues due to their limited ability to perceive subtle social contextual cues. Studies that used comic strips and the strange stories as intention attribution tests found that individuals with ASD exhibit a reduced ability in attributing intentions compared to inferring causal consequences. This study aims to use static photographs of social scenes taken in everyday settings to investigate the ability of adolescents with ASD to infer intentions in social contexts, and to explore how intention inference relates to working memory and basic attention, including sustained attention, selective attention, and divided attention. The results show that the physical causal inference ability of adolescents with ASD is comparable to typically developing adolescents, whereas intention inference is notably weaker. Furthermore, working memory predicts physical causal inference and divided attention predicts intention inference in ASD. [ABSTRACT FROM AUTHOR]

Introduction: This study aimed to estimate prevalence and incidence of attention deficit/hyperactivity disorder (ADHD) and comorbid relationships between ADHD and other psychiatric disorders in Japan. Methods: Using the real-world JMDC Claims Database, we conducted a cross-sectional study (analysis years 2017–2021) and retrospective cohort study (observation 2 years before/after the initial ADHD diagnosis; data collection 2005–2021; enrollment 2017–2019). Patients were male or female, aged 0–57 years. Cross-sectional study patients had an ADHD or other psychiatric disorder diagnosis (with or without medication) and were continuously registered in each analysis year; retrospective study patients had an ADHD diagnosis and ≥2 years' observation before and after diagnosis. Endpoints were annual prevalence and incidence of ADHD in Japan, prevalence and risk ratio of each psychiatric comorbidity in patients with ADHD, prevalence and risk ratios of ADHD in patients with each psychiatric comorbidity, and prevalence of psychiatric disorders before/after the initial ADHD diagnosis. Results: ADHD prevalence in children/adolescents and adults increased each year from 2017 to 2021. Prevalence in boys was 3.5–4.1 times higher than in girls. Prevalence in adults was lower than in children/adolescents, with a small sex difference. ADHD was highly comorbid with various psychiatric disorders. In 2019, the most common comorbidity in children/adolescents with ADHD was autism spectrum disorder (ASD; 54.4%); in adults, it was mood disorders (60.9%). ADHD prevalence in patients with various psychiatric disorders was higher than in the control population. ADHD prevalence was highest in patients with oppositional defiance disorder among both children/adolescents and adults (77.2% and 69.2%, respectively). In the retrospective cohort study (N = 14,940), the most common psychiatric disorders diagnosed prior to ADHD diagnosis were ASD in children/adolescents (33.9% of patients), and mood disorders and sleep disorders in adults (36.9% and 23.8% of patients, respectively). Discussion: ADHD was comorbid with various psychiatric disorders in Japan. In children and adolescents with ADHD, ASD was often diagnosed prior to ADHD. Psychiatric disorders, especially mood disorders and sleep disorders, were frequently diagnosed prior to the initial ADHD diagnosis in adults. The likelihood of comorbid ADHD should be considered when diagnosing adult patients with psychiatric disorders. [ABSTRACT FROM AUTHOR]

Introduction: Interest is growing in investigating the ability of children with autism spectrum disorder (ASD) to process social information under conflicting and complex environments. However, few studies have employed objective behavioral measures to directly explore the underlying profile of social–emotional interference control. Methods: In the current study, 53 children with ASD and 53 typically developing (TD) control, aged 6–12 years, completed a set of modified flanker tasks involving arrows, schematic faces, same real faces (with facial interference by the same person), and different real faces (with facial interference by different people), respectively. Response time in incongruent (RTInc) and congruent conditions (RTCon), percentage of errors in incongruent (%ErrorInc) and congruent conditions (%ErrorCon), and flanker effect calculated by ΔRT = (RTInc − RTCon)/RTCon and Δ%Error = %ErrorInc − %ErrorCon were used as outcome metrics. Results: We obtained three major results: (1) the ASD group had longer RTInc and RTCon compared to the TD group in the arrow, schematic-face, and same real-face tasks; (2) compared with the performance in the arrow flanker task, both groups exhibited longer RTs and reduced ΔRTs in the same real-face task; however, in the schematic-face task, longer RT and reduced ΔRT were exhibited in the TD group, but not in the ASD group; and (3) in the different real-face task, ASD group had higher %Error than the TD group, and %Error was negatively correlated with RT only in the ASD group. Conclusion: The current study delineates the inefficient processing of social–emotional interference in school-aged children with ASD and further suggests that these children might adopt a relatively optimized strategy like symbolization when dealing with emotional conflict. However, such compensatory cognitive strategies may be exhausted along with the increase in information load. These findings provide new perspectives of considering the difference more than difficulty in the cognitive profile of ASD, which will benefit the development of targeted behavioral interventions. [ABSTRACT FROM AUTHOR]

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by notable challenges in cognitive function, understanding language, recognizing objects, interacting with others, and communicating effectively. Its origins are mainly genetic, and identifying it early and intervening promptly can reduce the necessity for extensive medical treatments and lengthy diagnostic procedures for those impacted by ASD. This research is designed with two types of experimentation for ASD analysis. In the first set of experiments, authors utilized three feature engineering techniques (Chi-square, backward feature elimination, and PCA) with multiple machine learning models for autism presence prediction in toddlers. The proposed XGBoost 2.0 obtained 99% accuracy, F1 score, and recall with 98% precision with chi-square significant features. In the second scenario, main focus shifts to identifying tailored educational methods for children with ASD through the assessment of their behavioral, verbal, and physical responses. Again, the proposed approach performs well with 99% accuracy, F1 score, recall, and precision. In this research, cross-validation technique is also implemented to check the stability of the proposed model along with the comparison of previously published research works to show the significance of the proposed model. This study aims to develop personalized educational strategies for individuals with ASD using machine learning techniques to meet their specific needs better. [ABSTRACT FROM AUTHOR]

Neurodevelopmental disorders (NDDs) are caused by abnormal brain development, leading to altered brain function and affecting cognition, learning, self-control, memory, and emotion. NDDs are often demarcated as discrete entities for diagnosis, but empirical evidence indicates that NDDs share a great deal of overlap, including genetics, core symptoms, and biomarkers. Many NDDs also share a primary sensitive period for disease, specifically the last trimester of pregnancy in humans, which corresponds to the neonatal period in mice. This period is notable for cortical circuit assembly, suggesting that deficits in the establishment of brain connectivity are likely a leading cause of brain dysfunction across different NDDs. Regulators of gene programs that underlie neurodevelopment represent a point of convergence for NDDs. Here, we review how the transcription factor MEF2C, a risk factor for various NDDs, impacts cortical development. Cortical activity requires a precise balance of various types of excitatory and inhibitory neuron types. We use MEF2C loss-of-function as a study case to illustrate how brain dysfunction and altered behavior may derive from the dysfunction of specific cortical circuits at specific developmental times. [ABSTRACT FROM AUTHOR]

Previous studies indicated atypical Theory of Mind (ToM) abilities in individuals with autism spectrum disorder (ASD) at different ages. However, research focused on adolescents with ASD is still rare. This study aims to fill the gaps in the literature, by investigating ToM abilities in adolescents with ASD and in a group of typically developing ones. We applied the Theory of Mind Assessment Scale (Th.o.m.a.s.), a semi-structured interview that allows a multi-dimensional measurement of ToM, including different perspectives (first/s-order, first/third-person, egocentric/ allocentric), various mental states (emotions, desires, beliefs) and metacognitive abilities related with mental states (awareness, relation, and strategies). The results indicated that ToM develops atypically in ASD, with strengths and weaknesses. First, participants with ASD were comparable to controls in some specific ToM aspects, i.e., third-person ToM, both from an egocentric and an allocentric perspective. However, they were significantly weaker in attributing an understanding of the mental states of others, both in first- and second-order ToM scenarios. Second, they showed the same level of awareness about mental states as controls, but they were significantly weaker in conceptualizing the relationship between mental states and behavior. Also, they found it very difficult to think about possible strategies that they or others might employ to realize desires and needs. Finally, they performed similarly to controls in understanding emotions, while they poorly understood desires and beliefs. These results point out the distinctive characteristics of ToM development in individuals with ASD, with important implications for individualized interventions. [ABSTRACT FROM AUTHOR]

Objective: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by increasing prevalence, diverse impairments, and unclear origins and mechanisms. To gain a better grasp of the origins of ASD, it is essential to identify the most distinctive structural brain abnormalities in individuals with ASD. Methods: A Multi-Stage Progressive Feature Refinement Approach was employed to identify the most pivotal structural magnetic resonance imaging (MRI) features that distinguish individuals with ASD from typically developing (TD) individuals. The study included 175 individuals with ASD and 69 TD individuals, all aged between 7 and 18 years, matched in terms of age and gender. Both cortical and subcortical features were integrated, with a particular focus on hippocampal subfields. Results: Out of 317 features, 9 had the most significant impact on distinguishing ASD from TD individuals. These structural features, which include a specific hippocampal subfield, are closely related to the brain areas associated with the reward system. Conclusion: Structural irregularities in the reward system may play a crucial role in the pathophysiology of ASD, and specific hippocampal subfields may also contribute uniquely, warranting further investigation. [ABSTRACT FROM AUTHOR]

Background: A growing body of literature classifies autism spectrum disorder (ASD) as a heterogeneous, complex neurodevelopmental disorder that often is identified prior to three years of age. We aim to provide a narrative review of key structural and functional properties that differentiate the neuroimaging profile of autistic youth from their typically developing (TD) peers across different neuroimaging modalities. Methods: Relevant studies were identified by searching for key terms in PubMed, with the most recent search conducted on September 1, 2023. Original research papers were included if they applied at least one of seven neuroimaging modalities (structural MRI, functional MRI, DTI, MRS, fNIRS, MEG, EEG) to compare autistic children or those with a family history of ASD to TD youth or those without ASD family history; included only participants <18 years; and were published from 2013 to 2023. Results: In total, 172 papers were considered for qualitative synthesis. When comparing ASD to TD groups, structural MRI-based papers (n = 26) indicated larger subcortical gray matter volume in ASD groups. DTI-based papers (n = 14) reported higher mean and radial diffusivity in ASD participants. Functional MRIbased papers (n = 41) reported a substantial number of between-network functional connectivity findings in both directions. MRS-based papers (n = 19) demonstrated higher metabolite markers of excitatory neurotransmission and lower inhibitory markers in ASD groups. fNIRS-based papers (n = 20) reported lower oxygenated hemoglobin signals in ASD. Converging findings in MEG- (n = 20) and EEG-based (n = 32) papers indicated lower event-related potential and field amplitudes in ASD groups. Findings in the anterior cingulate cortex, insula, prefrontal cortex, amygdala, thalamus, cerebellum, corpus callosum, and default mode network appeared numerous times across modalities and provided opportunities for multimodal qualitative analysis. Conclusions: Comparing across neuroimaging modalities, we found significant differences between the ASD and TD neuroimaging profile in addition to substantial heterogeneity. Inconsistent results are frequently seen within imaging modalities, comparable study populations and research designs. Still, converging patterns across imaging modalities support various existing theories on ASD. [ABSTRACT FROM AUTHOR]

Introduction: We investigated the prosodic perception of uncertainty cues in adults with Autism Spectrum Disorder (ASD) compared to neurotypical adults (NTC). Method: We used articulatory synthetic speech to express uncertainty in a human-machine scenario by varying the three acoustic cues pause, intonation, and hesitation. Twenty-eight adults with ASD and 28 NTC adults rated each answer for uncertainty, naturalness, and comprehensibility. Results: Both groups reliably perceived different levels of uncertainty. Stimuli were rated as less uncertain by the ASD group, but not significantly. Only when we pooled the recipients' ratings for all three cues, did we find a significant group difference. In terms of reaction time, we observed longer reaction times in the ASD group compared to the neurotypical comparison group for the uncertainty level hesitation & strong intonation, but the differences were not significant after Bonferroni correction. Furthermore, our results showed a significant group difference between the correlation of uncertainty and naturalness, i.e. the correlation in the ASD group is significantly lower than in the NTC group. Obtained effect size estimates can inform sample size calculations in future studies for the reliable identification of group differences. Discussion: In future work, we would like to further investigate the interaction of all three cues and uncertainty perception. It would be interesting to further vary the duration of the pause and also to use different types of fillers. From a developmental perspective, uncertainty perception should also be investigated in children and adolescents with ASD. [ABSTRACT FROM AUTHOR]

Circadian dysfunction is prevalent in neurodevelopmental disorders, particularly in autism spectrum disorder (ASD). A plethora of empirical studies demonstrate a strong correlation between ASD and circadian disruption, suggesting that modulation of circadian rhythms and the clocks could yield satisfactory advancements. Research indicates that circadian dysfunction associated with abnormal neurodevelopmental phenotypes in ASD individuals, potentially contribute to synapse plasticity disruption. Therefore, targeting circadian rhythms may emerge as a key therapeutic approach. In this study, we did a brief review of the mammalian circadian clock, and the correlation between the circadian mechanism and the pathology of ASD at multiple levels. In addition, we highlight that circadian is the target or modulator to participate in the therapeutic approaches in the management of ASD, such as phototherapy, melatonin, modulating circadian components, natural compounds, and chronotherapies. A deep understanding of the circadian clock's regulatory role in the neurodevelopmental phenotypes in ASD may inspire novel strategies for improving ASD treatment. [ABSTRACT FROM AUTHOR]

Objective: This study explores the health information needs of individuals with autism spectrum disorder (ASD) and their caregivers in the post-COVID-19 era by analyzing discussions from Reddit, a popular social media platform. Methods: Utilizing a mixed-method approach that integrates qualitative content analysis with quantitative sentiment analysis, we analyzed user-generated content from the "r/autism" subreddit to identify recurring themes and sentiments. Results: The qualitative analysis uncovered key themes, including symptoms, diagnostic challenges, caregiver experiences, treatment options, and stigma, reflecting the diverse concerns within the ASD community. The quantitative sentiment analysis revealed a predominance of positive sentiment across discussions, although significant instances of neutral and negative sentiments were also present, indicating varied experiences and perspectives among community members. Among the machine learning models used for sentiment classification, the Bi-directional Long Short-Term Memory (Bi-LSTM) model achieved the highest performance, demonstrating a validation accuracy of 95.74%. Conclusions: The findings highlight the need for improved digital platforms and community resources to address the specific health information needs of the ASD community, particularly in enhancing access to reliable information and fostering supportive environments. These insights can guide future interventions and policies aimed at improving the well-being of autistic persons and their caregivers. [ABSTRACT FROM AUTHOR]

Background: Individuals exhibit varying degrees of flexibility depending on different characteristics, conditions, and diagnoses. The Flexibility Scale is a comprehensive informant-report measure used to assess multiple aspects of flexibility in autistic and non-autistic children and youth, with an emphasis on cognitive aspects. This tool has not been adapted nor validated for use in Spain. Methods: In this paper we aim to provide a culturally adapted and validated version of the Flexibility Scale for Spain. We detail the procedure followed by our research team to obtain a cultural adaptation of the scale for Spain, including forward and back translations, cognitive interviews, feedback from experts, and preliminary validation. Our participants in the validation process were 75 autistic and 39 typically developing children and adolescents between the ages of 6 and 17. Results: We reached a culturally adapted and preliminary validated version of the Flexibility Scale for Spain (Escala de Flexibilidad). Conclusions: We make the scale available to researchers and practitioners working in Spain. This contributes to laying the groundwork for further testing and adaptations in Spanish-speaking countries and communities worldwide. [ABSTRACT FROM AUTHOR]

Introduction: Interest is growing in investigating the ability of children with autism spectrum disorder (ASD) to process social information under conflicting and complex environments. However, few studies have employed objective behavioral measures to directly explore the underlying profile of social-emotional interference control. Methods: In the current study, 53 children with ASD and 53 typically developing (TD) control, aged 6-12 years, completed a set of modified flanker tasks involving arrows, schematic faces, same real faces (with facial interference by the same person), and different real faces (with facial interference by different people), respectively. Response time in incongruent (RTInc) and congruent conditions (RTCon), percentage of errors in incongruent (%ErrorInc) and congruent conditions (%ErrorCon), and flanker effect calculated by ΔRT = (RTInc - RTCon)/RTCon and Δ%Error = %ErrorInc - %ErrorCon were used as outcome metrics. Results: We obtained three major results: (1) the ASD group had longer RTInc and RTCon compared to the TD group in the arrow, schematic face, and same realface tasks; (2) compared with the performance in the arrow flanker task, both groups exhibited longer RTs and reduced ΔRTs in the same real-face task; however, in the schematic-face task, longer RT and reduced DRT were exhibited in the TD group, but not in the ASD group; and (3) in the different real-face task, ASD group had higher %Error than the TD group, and %Error was negatively correlated with RT only in the ASD group. Conclusion: The current study delineates the inefficient processing of social-emotional interference in school-aged children with ASD and further suggests that these children might adopt a relatively optimized strategy like symbolization when dealing with emotional conflict. However, such compensatory cognitive strategies may be exhausted along with the increase in information load. These findings provide new perspectives of considering the difference more than difficulty in the cognitive profile of ASD, which will benefit the development of targeted behavioral interventions. [ABSTRACT FROM AUTHOR]

Introduction: Children diagnosed with autism spectrum disorder (ASD) commonly encounter difficulties in social interactions and communication, significantly affecting their overall wellbeing. One proposed strategy to address these challenges is through physical exercise interventions. This study aims to conduct a meta-analysis to assess the impact of physical exercise interventions on the social skills of children with ASD. Methods: To perform this meta-analysis, we followed the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) Statement and the practical guide for transparent reporting of systematic reviews. Eligible studies included randomized controlled trials or quasi-experimental studies investigating the effects of physical exercise interventions on social skills among children with ASD. We used the standardized mean difference (SMD) to measure effect size. Results: Sixteen studies were included in the meta-analysis. The results indicated a significant improvement in social skills among children with ASD following physical exercise interventions (SMD = -0.54, 95% CI = [-0.63; -0.44]). The moderator analysis underscored the crucial role of age in explaining the intervention outcomes for enhancing social skills, with interventions lasting more than 12 weeks recommended for better social skills improvement. Discussion: The findings of this meta-analysis provide robust evidence supporting the efficacy of physical exercise interventions in enhancing the social skills of children with ASD. The moderator analysis underscores the importance of considering both the mean age and duration of interventions when implementing such programs. These results underscore the significance of physical exercise as a viable option for improving social skills in this population. [ABSTRACT FROM AUTHOR]