Search Results (2,528)

Background: Dysbiosis of the gut microbiota is common in children with autism spectrum disorder (ASD). Probiotics have the potential to improve outcomes in ASD by modulating the gut microbiota–brain axis. Methods: In a pilot randomised trial, children (2 to 5 years) with confirmed ASD (DSM-5 criteria) received either a multi-strain probiotic (450 billion CFU twice daily for one month, followed by once daily for three months) or placebo supplementation. Faecal microbiota profiles were assessed using pre- and post-supplementation samples. The primary outcome involved changes in gut microbiota diversity. Secondary outcomes included faecal short-chain fatty acid levels and behavioural changes. Results: Difficulties in recruitment and loss to follow-up for reasons including COVID-19 resulted in the enrolment of only 23 (probiotic: 9; placebo: 14) instead of the planned 40 children. There was no evidence of changes in the gut microbiota in probiotic-supplemented children. The common phyla were Bacillota_A (~50%), Bacteroidota (~18%) and Actinobacteriota (~10%). Alpha- and Beta-diversity showed no significant difference between pre- vs. post-supplementation samples. Bifodobacteriaceae increased significantly in the probiotic-supplemented group (p = 0.046). Conclusions: The increase in faecal Bifodobacteriaceae supports an evaluation of probiotics in ASD. Addressing the reasons for loss to follow-up is important when designing trials in this field. Full article

Autism Spectrum Disorder is a long-term neurodevelopmental disorder. Early diagnosis is crucial for timely rehabilitation and intervention. Recently, machine learning and deep learning techniques have been widely explored and have produced encouraging results using eye-tracking scanpath images for the early detection of ASD. However, these approaches exhibit inconsistent performance and classification error rates, as well as limited generalization, due to differences in learning approaches and architectural designs across individual models. To address these problems, we employed a weighted-average ensemble of deep learning models using eye-tracking scanpath images. In this work, two different pretrained convolutional neural networks were selected, including Xception and VGG16, based on their proven efficacy and performance. Moreover, we fine-tuned each model individually and evaluated them on a dataset containing eye-tracking scanpath images. We implemented a weighted-average ensemble technique to combine the diverse predictions of the two models. It reduces classification errors and improves the model’s generalization and overall performance. The adopted weighted-average ensemble technique achieved an accuracy of 98.18%, with a perfect recall, and a competitive Area Under the Curve (AUC) of 99.59%. These findings highlight that applying a weighted average to integrate multiple models’ predictions strengthens the generalization and reliability of ASD detection. Full article

Background/Objectives: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impairments in social communication and the presence of restricted and repetitive behaviors, often accompanied by motor impairments. Previous research indicates that regular physical exercise may reduce autism-related behaviors and improve motor competence. This study aimed to examine the effects of an adapted aquatic exercise program on autism-related behaviors, flexibility, and handgrip strength, key motor functions relevant to daily functioning. Methods: In this parallel-group randomized controlled trial, 35 boys with mild autism spectrum disorder (aged 8.4 ± 2.1 years) were enrolled. Participants were randomly assigned to an exercise group (n = 17) and a control group (n = 18). The exercise group completed a 16-week adapted aquatic exercise program (2 sessions/week, 50 min/session), while the control group received usual education only. The primary outcome was autism-related behaviors assessed by the Autism Behavior Checklist (ABC); secondary outcomes included flexibility and handgrip strength. Results: The exercise group showed significant improvements in Autism Behavior Checklist (ABC) scores, flexibility, and handgrip strength compared with the control group (p < 0.05). Large effect sizes were observed across all outcomes (partial eta squared, ηp² > 0.14). These findings indicate that adapted aquatic exercise confers beneficial effects on behavioral and motor outcomes in children with mild ASD. Conclusions: Regular participation in adapted aquatic exercise reduces autism-related behaviors and improves flexibility and handgrip strength. These findings provide empirical support for the inclusion of aquatic exercise in intervention programs targeting children with ASD and may inform future research and practice. Full article

The pathological mechanism of autism spectrum disorder (ASD) exhibits dual heterogeneity: abnormal local energy metabolism and brain-wide high-order topological failure. To synergistically characterize these complex signals captured by advanced neuroimaging sensors, we propose the Quantum-Enhanced Graph Convolutional Wide Residual Network (QG-WRN), a modality-specific, decoupled parallel dual-stream architecture. In the classical branch, to accurately capture the spatial distribution of local metabolic abnormalities, we employ a wide residual network (WRN) to extract amplitude of low-frequency fluctuation (ALFF) features, leveraging its expanded feature channels to effectively mine regional neurodynamic properties. Furthermore, to overcome the representational bottlenecks of classical linear operators in parsing hidden, long-range network connections, we introduce quantum computing, exploiting its exponentially expansive state space and intrinsic low-parameter regularization mechanism. Guided by these properties, the quantum branch utilizes a variational quantum graph convolutional (QGCN) module—featuring a trainable circular encoding strategy and a hardware-efficient 4-qubit configuration—with a 2-layer nested message passing structure to process the functional connectivity (FC) matrix, harnessing quantum interference in Hilbert space to parse complex topology while effectively mitigating overfitting on small-sample medical data. A unified training scheme achieves full-dimensional fusion of node activity and topology. Achieving 68.49% accuracy, our method outperforms 10 classic and recent new baselines, providing a powerful computational intelligence tool for sensor-based ASD clinical diagnosis. Furthermore, interpretability analysis successfully maps core disease hubs to standard AAL116 atlas coordinates, providing a powerful tool for computationally aided ASD diagnosis. Full article

Background/Objectives: Motor impairments, including reduced muscular strength and coordination, are commonly reported in children with autism spectrum disorder (ASD) and may negatively affect functional mobility and participation in daily activities. Despite increasing recognition of these challenges, structured resistance training programs for children with ASD remain limited. This study aimed to examine the effects of a 12-week resistance training program on muscular strength and functional performance in children aged 9–11 years with mild ASD. Methods: A selected-group repeated-measures design was employed. Twenty-eight children with specialist-confirmed mild ASD were allocated to an exercise (n = 14) or control group (n = 14) using a strength-matched allocation procedure. The intervention followed established exercise guidelines for youth. Assessments were conducted at baseline, week 6, and week 12 and included handgrip strength, vertical jump height, and 10-m walk time. Non-parametric Friedman tests assessed changes over time, followed by Durbin–Conover post hoc comparisons where appropriate. Effect sizes (r) were calculated. Results: No significant overall time effect was observed for handgrip strength, although a between-group difference favoring the exercise group was observed at week 6. Vertical jump height demonstrated a significant effect over time, with improvements observed in the exercise group from baseline to week 6 and a between-group difference at week 6. Walking time improved significantly across the study period, with improvements observed in both the exercise and control groups. Conclusions: These findings suggest that structured resistance training is a feasible intervention that may support improvements in physical function in children with mild ASD. Resistance training may therefore represent a useful component of exercise programs aimed at improving functional mobility and participation in children with developmental conditions. Full article

The gut–microbiota–brain axis (GMBA), an intricate network connecting the gastrointestinal (GI) tract and the brain, plays a pivotal role in maintaining overall health and influencing disease processes. The human gut microbiota, comprising over 3000 bacterial species, regulates immune responses, hormonal signals, and metabolite production, maintaining homeostasis under normal conditions. Dysbiosis, or microbial imbalance, has been linked to various central nervous system (CNS) disorders, including Alzheimer’s disease (AD), Parkinson’s disease (PD), multiple sclerosis (MS), and autism spectrum disorder (ASD). Given the growing interest in this topic and the limited effectiveness of current therapeutic strategies for managing patients with AD, the purpose of the current narrative review is to analyze the pathophysiological role of the GMBA in the pathogenesis of AD and assess potential therapeutic strategies targeting the GMBA, particularly the microbiome and its metabolites. A comprehensive literature search was conducted using PubMed, Scopus, and Web of Science to identify clinical studies, experimental research, and review articles examining the GMBA in health and AD, as well as related therapeutic strategies. The search terms included “Alzheimer’s disease”, “neuroinflammation”, “amyloid-beta”, “tau”, “gut–brain axis”, “microbiome”, “short-chain fatty acids”, “probiotics”, “prebiotics”, and “fecal microbiota transplantation”. In AD, altered gut microbiota composition is associated with neuroinflammation, neurodegeneration, and exacerbation of disease progression. Probiotics have shown potential in enhancing cognitive function and reducing neuroinflammation by modulating microbiota composition and influencing brain-derived neurotrophic factor (BDNF) levels. Prebiotics, through their impact on gut microbiota and metabolite production, also offer therapeutic promise by improving cognitive function and mitigating neuroinflammation. With its historical and modern applications, fecal microbiota transplantation (FMT) may represent a potential strategy for addressing dysbiosis and its neurological implications. This manuscript focuses on GMBA and its effects on neuroinflammation, neurodegeneration, and CNS health while emphasizing the need for further research into microbiome-based therapies and the gut–brain relationship in patients with AD. Full article

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by impaired social interaction, communication deficits, and repetitive behaviors. Recent research highlights the role of the gut microbiota in ASD pathophysiology, particularly through the microbiota–gut–brain axis. The microbiota may influence neurodevelopment via multiple signaling pathways, including the GABAergic and serotonergic systems, as well as the mTOR signaling pathway. This analytical review examines current evidence on microbiota alterations in ASD and evaluates microbiota-targeted strategies for diagnosis and treatment, focusing on fecal microbiota transplantation (FMT), probiotics, and diet-based therapeutic approaches. The review also provides a critical appraisal of the microbiota–gut–brain axis in the context of autism spectrum disorder. Full article

Background/Objectives: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficits in social communication, restricted and repetitive behaviors, and sensory processing abnormalities, including food selectivity. Due to the lack of effective causal therapies, alternative approaches such as dietary interventions are increasingly being explored. This study aimed to assess the impact of dietary factors on the nutritional status of children with ASD. Methods: A total of 103 children (75 with ASD and 28 controls) were included. Nutritional status was assessed using biochemical markers and standardized anthropometric measurements. Associations between nutritional status and dietary factors, particularly elimination diets implemented either on medical indications or in the absence of clinical justification, were analyzed. Results: ASD diagnosis was independently associated with lower height SDS (Standard Deviation Score). Food selectivity was significantly associated with growth patterns: children with food selectivity showed a higher prevalence of short stature compared with the control group (15.2% vs. 0%, p = 0.033). Children following elimination diets had significantly lower BMI SDS compared with those without dietary restrictions (−0.35 [−1.29 to 0.05] vs. −0.22 [−0.78 to 1.14], p = 0.046), although only 11.1% had medical indications for such interventions. Among non-supplemented participants, vitamin D deficiency was significantly more prevalent in the ASD group (84.6% vs. 33.3%, p < 0.001). Conclusions: Elimination diets were the only dietary factor associated with a clinically relevant reduction in BMI SDS in children with ASD. Food selectivity alone was not associated with impaired nutritional status. Most elimination diets were implemented without confirmed medical indications. These findings highlight the importance of evidence-based dietary management and routine vitamin D supplementation in this population. Full article

Autism spectrum disorder is increasingly linked to altered microglial biology. However, current research models are limited by outdated descriptions of microglial “activation”. Here, we propose that microglial involvement in ASD is best understood as a problem of state mismatch, in which temporally programmed and regionally specialized microglial states fail to align with local developmental demands. We synthesize evidence across genetic models, human transcriptomics, and experimental systems to examine three axes of misalignment: developmental timing, circuit specificity, and functional phenotype. These mismatches produce divergent outcomes, including both excessive and insufficient synaptic pruning, and reflect a decoupling between microglial activation markers and effector capacity. We further evaluate molecular recognition systems governing microglia–synapse interactions, with emphasis on complement signaling and glycan-mediated pathways such as sialic acid–Siglec signaling and polysialylation. While glycosylation is not a universal driver of ASD pathology, it represents a plausible regulatory layer controlling synapse visibility and microglial engagement. This framework reconciles conflicting findings in the literature and positions microglia as dynamic developmental effectors whose misaligned state trajectories contribute to circuit-level dysfunction in ASD. Full article

While the cerebellar dopaminergic system is suggested to be implicated in neurodevelopmental disorders, especially autism spectrum disorder (ASD), the details of its disturbances remain unclear. We performed a comparative analysis of human (GTEx) and mouse (GSE144046, GSE144277) transcriptomes, complemented by RT-qPCR in DAT-KO rats, to identify dopaminergic gene associations in the normal cerebellum and neurodevelopmental disorder models. Pairwise dopaminergic gene correlations were generally weak, with a slight increase in interaction complexity in ASD models. However, weighted gene co-expression network analysis identified a robust gene module involving Comt, which was consistently associated with synaptic translation across mouse datasets. These associations reflect regulatory processes in the whole cerebellum, which is commonly represented in rodent studies but absent in human data, which are acquired in studies of cerebellar subregions. ASD modeling exerted contrasting effects: Cul3 haploinsufficiency increased the number of genes involved in the module with a decrease in connectivity, while Mbd5 haploinsufficiency led to module collapse. These findings confirm neurodevelopmental disorders as a heterogeneous condition where divergent backgrounds uniquely rewire cerebellar dopaminergic networks. Considering the cerebellum’s role in ASD and that some ASD medications target the dopamine system, further investigation of these identified trends may support the development of more personalized therapeutic approaches. Full article

Although exercise interventions have been shown to alleviate core symptoms of Autism Spectrum Disorder (ASD), the neural mechanisms underlying these improvements, particularly those involving the White Matter Network (WMN), remain poorly understood. This study investigated the effects of a Mini-Basketball Training Program (MBTP) on core symptoms and WMN in children with ASD. This study adopted a two-site cluster-Randomized Controlled Trial (cRCT) design. Participants from two special education centers in China were randomly assigned to either an intervention group (MBTP) or a control group (CON). The participants underwent a 12-week MBTP. Core symptom assessments and a Diffusion Tensor Imaging (DTI) scan were conducted before and after the intervention. The individual WMNs were constructed using Deterministic Fiber Tracking (DFT). Graph theoretical analysis was applied to examine changes in WMN topological properties after MBTP. The MBTP significantly improved core symptoms in children with ASD, alongside the decreased normalized clustering coefficient (Gamma, γ), characteristic path length (Lambda, λ), small-world attributes (Sigma, σ), and increased global efficiency (E_glob). The nodal clustering coefficient (NCC) increased in the left cuneus (CUN.L) and left cerebellum 9 (CRBL9.L). Notably, the increased NCC in CRBL9.L was significantly correlated with improvements in core symptoms following the MBTP. The improvement in core symptoms in children with ASD following exercise intervention is associated with the remodeling of the WMN, highlighting the cerebellum as a key node in this neural mechanism. Full article

The Active Music Programme (MAP) is an interdisciplinary initiative designed to foster inclusion, communication, and emotional well-being through participatory music-making. Integrating active music education, guided improvisation, and creative interaction, MAP seeks to enhance quality of life for individuals with diverse abilities. This pilot project, implemented in a special education centre with adolescents and adults with Autism Spectrum Disorder (ASD), combines weekly collaborative sessions led by music and education professionals. Using a qualitative, participatory framework, the study aims to examine how musical engagement is expected to support shared attention, emotional regulation, and social connection, positioning MAP as a replicable model for inclusive education and community practice. Full article

Internal state terms (ISTs) include words describing emotions, thoughts, volitions, obligations, desires, and perceptions. This scoping review aimed to map and synthesize evidence regarding the production of ISTs in individuals with Autism Spectrum Disorder (ASD) without intellectual disability and to investigate the effects of age, gender, Theory of Mind (ToM) skills, and elicitation tasks on their production. A literature search was conducted manually and electronically in Scopus, ScienceDirect, ERIC, and PubMed, identifying 29 peer-reviewed empirical studies published between 2006 and 2025. Findings were heterogeneous. Some studies reported lower IST production in individuals with ASD compared to neurotypical controls, whereas others found differences only in specific IST categories, mainly cognition and emotion terms, or reported no significant group differences. Findings regarding gender, ToM skills, and elicitation tasks were mixed. In both groups, older participants produced more ISTs than younger participants; however, developmental trajectories suggested that emotion and cognition terms were particularly challenging for individuals with ASD, who required more time to acquire them than their typically developing (TD) peers. Furthermore, TD participants produced significantly more ISTs when narrating people’s everyday interactions, whereas communication context did not appear to influence IST production in individuals with ASD. Research examining IST production in preschoolers and adults with ASD remains limited, and little is known about the developmental trajectories of ISTs in this population. Full article

Background/Objectives: Cochlear implantation (CI) represents a well-established intervention for the management of severe to profound sensorineural hearing loss. The co-occurrence of severe hearing loss and Autism Spectrum Disorder (ASD) presents unique diagnostic and therapeutic challenges that significantly impact post-implantation outcomes. This review aims to synthesize the current literature on cochlear implantation in children with Autism Spectrum Disorder (ASD), including diagnostic, audiological, rehabilitative, and functional outcome considerations. Methods: A structured search of PubMed and Scopus was performed for English-language articles published between January 2000 and January 2026, focusing on audiological assessment, rehabilitation challenges, multidisciplinary management, and post-implant functional outcomes in this population. Results: The findings synthesized in this review suggest that cochlear implantation in children with Autism Spectrum Disorder must be interpreted within a broader communicative-ecological framework rather than through auditory metrics alone. These findings highlight a multidimensional model of post-implant outcomes, shaped by the dynamic interplay between auditory access, social engagement, family context, and language-learning environments. Conclusions: Most children with ASD and severe-to-profound hearing loss show improvements in speech perception and production after cochlear implantation, although outcomes are highly variable. A multidisciplinary approach, through coordinated collaboration among specialists, enhances family engagement, optimizes compliance with care plans, and ultimately contributes to improved clinical and developmental outcomes. ASD should not be considered a contraindication for CI; however, careful individual assessment, realistic parental counseling, and a multidisciplinary approach availability to evaluation and rehabilitation are essential. Full article

Applied Behavior Analysis (ABA) is recognized as one of the most evidence-based interventions for students with autism spectrum disorder (ASD), although its effectiveness relies on consistent classroom implementation by teachers. This study investigated the extent to which teachers of students with ASD in Qatar implement ABA techniques and whether implementation levels vary by gender, educational level, school type, years of experience, and teaching stage. A descriptive–analytical design was utilized on a sample of 155 teachers from government and private schools. Data were collected using the Applied Behavior Analysis Implementation Scale for Teachers of Students with ASD in Qatar (ABAIS-Qatar), a 26-item instrument developed and validated for this study across five dimensions. Teachers reported a high overall level of ABA implementation (M = 4.10, SD = 0.48). The Behavior Identification and Goal Setting and Strategy Application and Intervention dimensions received the highest ratings, while the Motivation and Corrective Procedures dimensions were rated at a moderate level. A five-way MANOVA revealed significant multivariate differences across years of experience and teaching stage. Post hoc analyses indicated that teachers with more than 15 years of experience reported significantly higher implementation of motivational and corrective procedures than those with 6–10 years of experience and that primary-stage teachers demonstrated superior classroom behavior management compared to intermediate-stage teachers. The findings have implications for teacher professional development and ABA training in both inclusive and specialist educational settings in Qatar. Full article