Repetitive Patterns Of Behavior Research Articles

Improving facial expression recognition for autism with IDenseNet-RCAformer under occlusions.

The term 'autism spectrum disorder' describes a neurodevelopmental illness typified by verbal and nonverbal interaction impairments, repetitive behaviour patterns and poor social interaction. Understanding mental states from FEs is crucial for interpersonal interaction and social interaction. But when there are occlusions like glasses, facial hair or self-occlusion, it becomes harder to identify facial expressions accurately. This research tackles the issue of identifying facial expressions when parts of the face are occluded and suggests an innovative technique to tackle this difficulty. Creating a strong framework for facial expression recognition (FER) that better handles occlusions and increases recognition accuracy is the goal of this research. Therefore, we propose novel Improved DenseNet-based Residual Cross-Attention Transformer (IDenseNet-RCAformer) system to tackle the partial occlusion FER problem in autism patients. The recognition framework's efficacy is assessed using four datasets of facial expressions, and some preprocessing procedures are conducted to increase the expression recognition efficiency. After that, when recognizing expressions, a simple argmax function is applied to get a forecasted landmark position from a heatmap. Then feature extraction phase, local and global representation are captured from preprocessed images by adopting Inception-ResNet-V2 approach, Cross-Attention Transformer, respectively. Moreover, both features are fused by employing the FusionNet method, thereby enhancing system's training speed and precision. After the features are extracted, an improved DenseNet mechanism is applied to efficiently recognize some variety of facial expressions in partially occluded autism patients. A number of performance metrics are determined and analysed to demonstrate the proposed approach's effectiveness, where the IDenseNet-RCAformer performs best with an accuracy of 98.95%. According to the experimental findings, the proposed framework significantly outperforms the prior recognition frameworks in terms of recognition outcomes.

Comparative Efficacy of Antipsychotic Medication for Stereotypic Behavior in Autism Spectrum Disorder: A Systematic Review and Meta-analysis

Background: Stereotypic movements in autism form core symptoms under the rubric of repetitive and restricted patterns of behavior. Aim: The systematic review was aimed to find which antipsychotic has better efficacy in treating stereotypic behavior in autism spectrum disorder. Methods: We searched for journal publications in the English from PubMed and Cochrane databases (CENTRAL), January 1992–June 2024, for randomized controlled trials that compared antipsychotics with a placebo of at least 6 weeks’ trial, with the outcome measure being a change in stereotypy score. Quality assessment of the included studies in the meta-analysis was done using Cochrane risk of bias tool version 2. We followed PRISMA guidelines for systematic review. The mean difference in change of stereotypy symptoms score was calculated between antipsychotic and placebo participants along with 95% confidence interval (CI) using the random-effects model. Results: 146 studies were screened, and 25 studies were deemed eligible to retrieve full-length articles for review. A total of nine studies were included in the systematic review that had used aripiprazole, risperidone, or lurasidone as an antipsychotic. Six studies (n = 726) that had all data on mean difference in stereotypy scores on the Aberrant Behavior Checklist (ABC)-Stereotypy subscale and four studies (n = 554) that reported stereotypy scores using Children’s Yale-Brown Obsessive Compulsive Scale (CY-BOCS)-Compulsions subscale were included in the meta-analysis. Antipsychotics showed a significant reduction in ABC-Stereotypy scores (−1.84 [−2.84, −0.85; 95% CI], Z = 3.83, P < 0.001) with moderate heterogeneity between the studies (I 2 = 53%). Whereas, antipsychotics did not show significant improvement in compulsions as measured on CY-BOCS (−0.87 [−1.89, 0.16; 95% CI], Z = 1.65, P = 0.10). Conclusion: Stereotypy in autism is difficult to measure, and no uniform measure exists. Trials are limited to short duration and limited to few antipsychotics. Among antipsychotics, risperidone has robust efficacy in reducing stereotypic behaviors.

AUTISM DIAGNOSIS

This document results from a theoretical study, the objective of which was to discuss the importance of conducting high-quality diagnoses of Autism Spectrum Disorder (ASD) and to compare how this screening process is conducted through the Unified Health System (SUS) and specialized private clinics. The research was conducted through a literature review and case study analysis to assess the waiting time, cost, diagnostic quality, and follow-up care after the screening process had been completed. Autism is a neurodevelopmental condition characterized by significant deficits in communication, selective eating, and social interaction, as well as repetitive patterns of behaviors, activities, and/or interests.

Language, Theory of Mind and Cognitive skills in Arabic-speaking children with and without autism: Evidence from network and cluster analyses

IntroductionAutism spectrum disorder (ASD) is characterized by impairments in social interactions, social communication, and repetitive and stereotyped patterns of behavior. Previous studies have reported mixed findings regarding the links between language (i.e., phonology, morphosyntax, lexicon and pragmatics), theory of mind (ToM), executive functions (EFs), and central coherence measures in children with ASD. MethodsA total of 163 Palestinian-Arabic-speaking children aged 4-11 participated: 76 with ASD and 87 with typical language development (TLD). The children`s phonological, morphosyntactic, lexical, and pragmatic skills and verbal and non-verbal ToM abilities were evaluated. Additionally, cognitive assessments included non-verbal IQ, EF, and central coherence processing. ResultsGroup-level results showed that children with ASD scored lower than their TLD peers in all measures. Network analysis revealed robust interconnections between language, ToM, and cognitive skills in both groups. In autistic children, language was a central node, with pragmatics prevailing over morphosyntax and lexicon, while age was central in the TLD group. Cluster analysis identified four language clusters within the ASD group, demonstrating dissociations between language domains: (1) high performance across all domains, (2) moderate performance in phonology and morphosyntax with low pragmatic abilities, (3) moderate performance in phonology and lexicon with low morphosyntax and pragmatics, and (4) moderate phonology and lexicon with extremely poor morphosyntax and pragmatics. Autistic children with enhanced language abilities performed better in verbal and non-verbal ToM and EF tasks. ConclusionsOur findings underscore the variability in language, ToM, and cognitive profiles of autistic children, showing dissociation within and between different domains in some autistic children. These results offer insights for applied interventions.

O LÚDICO COMO PROPOSTA ESTRATÉGICA PARA O ENSINO, APRENDIZAGEM E DESENVOLVIMENTO DE ESTUDANTES AUTISTAS

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by atypical development, behavioral manifestations, deficits in communication and social interaction, repetitive and stereotyped behavior patterns, and may include a restricted repertoire of interests and activities. It is crucial that schools are concerned with the quality of education, which requires the collective commitment of educators and students, aiming at the integral formation of citizenship through the effective construction of knowledge. In order to better understand autism within the context of regular schools and education for autistic individuals, we chose to conduct a bibliographical research, discussing the theoretical foundations relevant to the study. Upon concluding the research, we observed that the use of play as a pedagogical method can be highly effective with autistic students, providing an interesting and fun approach to learning acquisition. We recognize that autistic students have special educational needs that must be met by teachers in order to promote their development and ensure that they follow the teaching-learning process.

THE BENEFITS OF NON-BIOLOGICAL THERAPY IN CHILDREN WITH AUTISM SPECTRUM DISORDER (ASD)

Introduction – Autism Spectrum Disorders (ASD) are a group of neurodevelopmental disorders characterized by three main problems, namely the presence of communication disorders, impaired reciprocal social interaction with the surrounding environment, and restricted, repetitive, and stereotyped behavior patterns in the first 3 years of age. In Indonesia, there were around 112,000 ASD sufferers in 2012, while in 2015 it was estimated that 1 in 250 children had ASD, or around 134,000 people. Methods – The author used the literature review method by collecting the results of several kinds of literature on ASD, and non-biological therapy and their benefits in ASD children. The literature on non-biological therapy and its benefits in ASD children is limited to 2011-2021. Results – Autism is a lifelong disorder, so it is important to recognize it as early as possible, and parents need to understand the problem. It's important to remember that the cause of autism is unknown, and no single drug has been found that can cure ASD, but some therapies can suppress ASD symptoms that can help ASD lead a more productive life by reducing symptoms and improving skills. Discuss – There is no definitive therapy that can cure ASD, but therapy is aimed at improving ASD symptoms. Non-biological therapy which includes behavioral therapy (such as TEACCH or ABA) is currently used as first-line therapy for ASD. Conclusion – Symptoms that appear in ASD children vary widely, therefore the therapy given is individual and depends on the circumstances and symptoms that appear. There are many types of non-biological therapies for ASD, such as ABA, TEACCH, PECS, Caregiver-mediated Intervention, Parent-mediated Communication, SIT, and AIT. These therapies have been shown to have benefits in improving ASD symptoms such as communication skills, social interaction, and behavior, where each therapy has different benefits in each type. These therapies are given to everyone as needed. Keywords: non-biological, children, autism.

Key Synaptic Pathology in Autism Spectrum Disorder: Genetic Mechanisms and Recent Advances.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impaired social interactions and verbal communication, accompanied by symptoms of restricted and repetitive patterns of behavior or interest. Over the past 30 years, the morbidity of ASD has increased in most areas of the world. Although the pathogenesis of ASD is not fully understood, it has been associated with over 1000 genes or genomic loci, indicating the importance and complexity of the genetic mechanisms involved. This review focuses on the synaptic pathology of ASD and particularly on genetic variants involved in synaptic structure and functions. These include SHANK, NLGN, NRXN, FMR1, and MECP2 as well as other potentially novel genes such as CHD8, CHD2, and SYNGAP1 that could be core elements in ASD pathogenesis. Here, we summarize several pathological pathways supporting the hypothesis that synaptic pathology caused by genetic mutations may be the pathogenic basis for ASD.

Animal Models of Autistic-like Behavior in Rodents: A Scoping Review and Call for a Comprehensive Scoring System

Appropriate animal models of human diseases are a cornerstone in the advancement of science and medicine. To create animal models of neuropsychiatric and neurobehavioral diseases such as autism spectrum disorder (ASD) necessitates the development of sufficient neurobehavioral measuring tools to translate human behavior to expected measurable behavioral features in animals. If possible, the severity of the symptoms should also be assessed. Indeed, at least in rodents, adequate neurobehavioral and neurological tests have been developed. Since ASD is characterized by a number of specific behavioral trends with significant severity, animal models of autistic-like behavior have to demonstrate the specific characteristic features, namely impaired social interactions, communication deficits, and restricted, repetitive behavioral patterns, with association to several additional impairments such as somatosensory, motor, and memory impairments. Thus, an appropriate model must show behavioral impairment of a minimal number of neurobehavioral characteristics using an adequate number of behavioral tests. The proper animal models enable the study of ASD-like-behavior from the etiologic, pathogenetic, and therapeutic aspects. From the etiologic aspects, models have been developed by the use of immunogenic substances like polyinosinic-polycytidylic acid (PolyIC), lipopolysaccharide (LPS), and propionic acid, or other well-documented immunogens or pathogens, like Mycobacterium tuberculosis. Another approach is the use of chemicals like valproic acid, polychlorinated biphenyls (PCBs), organophosphate pesticides like chlorpyrifos (CPF), and others. These substances were administered either prenatally, generally after the period of major organogenesis, or, especially in rodents, during early postnatal life. In addition, using modern genetic manipulation methods, genetic models have been created of almost all human genetic diseases that are manifested by autistic-like behavior (i.e., fragile X, Rett syndrome, SHANK gene mutation, neuroligin genes, and others). Ideally, we should not only evaluate the different behavioral modes affected by the ASD-like behavior, but also assess the severity of the behavioral deviations by an appropriate scoring system, as applied to humans. We therefore propose a scoring system for improved assessment of ASD-like behavior in animal models.

Maternal choline supplementation modulates cognition and induces anti-inflammatory signaling in the prefrontal cortices of adolescent rats exposed to maternal immune activation

Maternal infection has long been described as a risk factor for neurodevelopmental disorders, especially autism spectrum disorders (ASD) and schizophrenia. Although many pathogens do not cross the placenta and infect the developing fetus directly, the maternal immune response to them is sufficient to alter fetal neurodevelopment, a phenomenon termed maternal immune activation (MIA). Low maternal choline is also a risk factor for neurodevelopmental disorders, and most pregnant people do not receive enough of it. In addition to its role in neurodevelopment, choline is capable of inducing anti-inflammatory signaling through a nicotinic pathway. Therefore, it was hypothesized that maternal choline supplementation would blunt the neurodevelopmental impact of MIA in offspring through long-term instigation of cholinergic anti-inflammatory signaling.To model MIA in rats, the viral mimetic polyinosinic:polycytidylic acid (poly(I:C)) was used to elicit a maternal antiviral innate immune response in dams both with and without choline supplementation. Offspring were reared to both early and late adolescent stages (postnatal days 28 and 50, respectively), where anxiety-related behaviors and cognition were examined. After behavioral testing, animals were euthanized, and their prefrontal cortices (PFCs) were collected for analysis. MIA offspring demonstrated sex-specific patterns of altered cognition and repetitive behaviors, which were modulated by maternal choline supplementation. Choline supplementation also bolstered anti-inflammatory signaling in the PFCs of MIA animals at both early and late adolescent stages. These findings suggest that maternal choline supplementation may be sufficient to blunt some of the behavioral and neurobiological impacts of inflammatory exposures in utero, indicating that it may be a cheap, safe, and effective intervention for neurodevelopmental disorders.

Exit interviews from two randomised placebo-controlled phase 3 studies with caregivers of young children with autism spectrum disorder

IntroductionAutism spectrum disorder (ASD) is characterised by difficulty with social communication and restricted, repetitive patterns of behaviour. This study aimed to improve understanding of the ASD patient experience with the treatment (bumetanide) regarding the changes in core symptoms and to assess changes considered as meaningful. To achieve this, qualitative interviews were conducted with caregivers of patients in two phase 3 clinical trials (NCT03715153; NCT03715166) of a novel ASD treatment.MethodsCaregivers were invited to participate in one interview after completion of the pivotal phase 3 study; for those of them who continued treatment after study completion, a second interview was held 3 months after trial completion. The interviews were conducted by qualitative researchers and followed a semi-structured interview guide. The interviews focused on patients’ ASD symptoms and their impact on their daily life before enrolment, and on any symptom changes patients experienced during the trial.ResultsOut of the 13 eligible patients’ caregivers, 11 were interviewed up to two times at clinical sites in the UK, Spain, and Italy. The caregivers reported impairments in a wide range of skills: deficits in communication and social interaction; restricted, repetitive patterns of behaviour, interests, or activities; and cognitive, emotional, and motor impairments. Compared to before the trial initiation, caregivers also reported improvements in the following domains: communication, interaction with others, cognition, aggression, emotions, repetitive movements, eating, and sleeping.ConclusionThe exit interviews provided a rich source of qualitative data, allowing a deeper understanding of caregivers’ and patients’ experience of the disease and allowing us to understand what constitutes a meaningful change. These data also helped identify important experiences that may inform the patient-reported outcome measurement strategy for future trials in ASD.

Neurobehavioral perspectives on autistic spectrum disorder

Understanding genetics and environmental influences in autism has been explored in greater depth in recent decades. However, the mechanism by which they converge that leads to autism still needs to be explored further. An autism diagnosis in DSM-5 results from a neurodevelopmental disorder hurting normal brain function, affecting communication and social interaction combined with restricted or repetitive patterns of behavior and interests. This paper reviews current work investigating how the underlying mechanism of the brain structure and function relates to the complex and aberrant behavioral manifestations of autism. Mapping this connection can provide us with a better understanding of autism signs and symptoms, making the process of accurate diagnosis more straightforward. As a complex neurobehavioral condition, autistic individuals process the environment and their interactions with others differently from those without autism. So, they make different perceptions and connections between themselves and the environment. Consequently, they will have difficulty communicating, forming relationships, and responding appropriately to their environment. It is this lifelong neurobehavioral dysfunction that prevents autistic individuals from adequately understanding what they perceive and the emotional expression of others. There will be differences in their mental states, how their brains work, and how their thinking processes will be affected by a neurodevelopmental disability.

Characteristics of children with autism spectrum disorder in pediatric rehabilitation at a referral hospital in Peru.

Motivation for the study. Despite the prevalence of ASD, research in the field of Physical Medicine and Rehabilitation is scarce in Peru. Main findings. Of 120 children with a previous diagnosis of ASD, only 9.8% received inclusive education. The median age at diagnosis was 3.83 years. We also found that 78.4% had no disability certificate and 77.5% had incomplete psychological evaluation. The median time since the last physical, occupational, and speech therapy sessions was 3 months, 8 months, and 3.5 months, respectively. Implications. These findings highlight the need to enhance early diagnosis, inclusive education, and evaluation and subsequent certification of disability, as well as to establish more timely interventions. Autism spectrum disorder (ASD) is characterized by developmental disorders, difficulties in social interaction and communication, and restrictive and repetitive patterns of behavior. Despite its high prevalence, few studies have been conducted in rehabilitation settings. This study aimed to describe the characteristics of children with ASD from the Pediatric Rehabilitation Service of the Rebagliati Hospital (SRP-HNERM). Cross-sectional descriptive study. We reviewed the medical records of children under 14 years of age previously diagnosed with ASD from the SRP-HNERM during 2022. A total of 120 children with ASD were evaluated. The median age was 5 years. Most received regular education, but it was inclusive only for 9.8%. The mean age at diagnosis was 3.83 years. We found that 78.4% had no disability certificate and 77.5% of the participants had incomplete psychological evaluation. The median time since the last physical, occupational and speech therapy sessions was 3, 8 and 3.5 months respectively. The mean age at diagnosis of ASD was older than three years, and more than 75% of the patients had neither a disability certificate nor a complete psychological evaluation. The median time since the last rehabilitation therapy sessions was three months or more. Our findings highlight the need to improve early diagnosis, inclusive education and evaluation and subsequent certification of disability, as well as to establish timely interventions.

Aflatoxin B1 exposure deteriorates immune abnormalities in a BTBR T+ Itpr3tf/J mouse model of autism by increasing inflammatory mediators' production in CD19-expressing cells

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficiencies in communication, repetitive and stereotyped behavioral patterns, and difficulties in reciprocal social engagement. The presence of immunological dysfunction in ASD has been well established. Aflatoxin B1 (AFB1) is a prevalent mycotoxin found in food and feed, causing immune toxicity and hepatotoxicity. AFB1 is significantly elevated in several regions around the globe. Existing research indicates that prolonged exposure to AFB1 results in neurological problems. The BTBR T+ Itpr3tf/J (BTBR) mice, which were used as an autism model, exhibit the primary behavioral traits that define ASD, such as repeated, stereotyped behaviors and impaired social interactions. The main objective of this work was to assess the toxic impact of AFB1 in BTBR mice. This work aimed to examine the effects of AFB1 on the expression of Notch-1, IL-6, MCP-1, iNOS, GM-CSF, and NF-κB p65 by CD19+ B cells in the spleen of the BTBR using flow cytometry. We also verified the impact of AFB1 exposure on the mRNA expression levels of Notch-1, IL-6, MCP-1, iNOS, GM-CSF, and NF-κB p65 in the brain of BTBR mice using real-time PCR. The findings of our study showed that the mice treated with AFB1 in the BTBR group exhibited a substantial increase in the presence of CD19+Notch-1+, CD19+IL-6+, CD19+MCP-1+, CD19+iNOS+, CD19+GM-CSF+, and CD19+NF-κB p65+ compared to the mice in the BTBR group that were treated with saline. Our findings also confirmed that administering AFB1 to BTBR mice leads to elevated mRNA expression levels of Notch-1, IL-6, MCP-1, iNOS, GM-CSF, and NF-κB p65 in the brain, in comparison to BTBR mice treated with saline. The data highlight that exposure to AFB1 worsens immunological abnormalities by increasing the expression of inflammatory mediators in BTBR mice.

Autism's Impact on Cochlear Implantation Surgery Outcomes in Deaf Children.

Cochlear implants (CI) provide a hearing sense for severe to profound hearing-impaired patients, both adults and children, and they are a broadly effective and accepted therapeutic method for those patients. Also, Deaf children with comorbidities, including autism spectrum disorders (ASDs), undergo cochlear implantation. ASDs are a group of developing disorders characterized by abnormalities in social interaction and communication with limited repetitive patterns of behavior. This study aimed to assess the effect of Autism on CI surgery outcomes in Deaf Children. We followed 12 autistic patients with cochlear implantation and 12 non-autistic cochlear-implanted patients for two years. The Categories of Auditory Performance (CAP) and Speech Intelligibility Rating (SIR) scores were used to assess 6, 12, and 24 months after cochlear implantation surgery. During the 24-month follow-up, the CAP means scores increased in both groups, and SIR and CAP progresses were considerably greater in non-ASD children (P<0.001). However, in ASD children, the progress of CAP and SIR variables were significant, with 99% and 95% confidence, respectively, at 24 months after surgery. Although the CIs could improve hearing performance in autistic patients, speech development after CIs in autistic children could affected by several factors, including the severity of autism, and this can be effective in providing pre-implant counseling to parents. The application of the alternative communication methods could be taken into account as a potential rehab technique.

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

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

Validar un cuestionario para evaluar el Conocimiento y la Estigmatización del TEA en la población peruana: una necesidad real

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by difficulties in social interaction, communication, and restricted and repetitive patterns of behavior. Over the past few decades, there has been an increase in awareness and early detection of ASD, significantly improving opportunities for intervention and support. However, individuals with ASD often face stigmatization and discrimination due to a lack of understanding about their condition, which can negatively affect their emotional and social well-being. Therefore, it is crucial to promote greater education and awareness about ASD to reduce stigma and foster a more inclusive society. (1)

Autism: Clinical impacts and late diagnosis in women - Literature review

Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder, marked by deficits in communication and social interaction and restricted and repetitive behavior patterns. With the expansion of information dissemination about autism and improvements in diagnostic methods, the prevalence of the disorder has increased considerably in recent decades. However, because autism has multiple facets and different presentations, diagnosis is still a challenge, especially in females, where there are singularities that further undermine suspicions, leading to underdiagnosis. Given this, there are multiple questions about the causes and implications of these factors in the diagnosis of autistic girls and women. Thus, the objective of this research is to verify the causal factors and clinical implications associated with the difficulty in diagnosing ASD in females. This is a narrative bibliographic review, in which research was carried out in established databases. In general, it is noted that the diagnosis of autism in girls and women can be impacted by genetic, developmental, psychological, social and cultural influences, involving factors such as subtlety of symptoms, capacity for social adaptability, lack of studies, failure to diagnostic methodologies and instruments, as well as stereotypes and prejudices. Understanding these elements is essential to broaden the perspective of girls and women with ASD, highlight their particularities and ensure that they receive early diagnosis and treatment.

Utilizing Constructed Neural Networks for Autism Screening

Autism Spectrum Disorder is known to cause difficulties in social interaction and communication, as well as repetitive patterns of behavior, interests, or hobbies. These challenges can significantly affect the individual’s daily life. Therefore, it is crucial to identify and assess children with Autism Spectrum Disorder early to significantly benefit the long-term health of children. Unfortunately, many children are not diagnosed or are misdiagnosed, which means they miss out on the necessary interventions. Clinicians and other experts face various challenges during the diagnostic process. Digital tools can facilitate early diagnosis effectively. This study aimed to explore the use of machine learning techniques on a dataset collected from a serious game designed for children with autism to investigate how these techniques can assist in classification and make the clinical process more efficient. The responses were gathered from children who participated in interactive games deployed on mobile devices, and the data were analyzed using various types of neural networks, such as multilayer perceptrons and constructed neural networks. The performance metrics of these models, including error rate, precision, and recall, were reported, and the comparative experiments revealed that the constructed neural network using the integer rule-based neural networks approach was superior. Based on the evaluation metrics, this method showed the lowest error rate of 11.77%, a high accuracy of 0.75, and a good recall of 0.66. Thus, it can be an effective way to classify both typically developed children and children with Autism Spectrum Disorder. Additionally, it can be used for automatic screening procedures in an intelligent system. The results indicate that clinicians could use these techniques to enhance conventional screening methods and contribute to providing better care for individuals with autism.

The Efficacy of Music Therapy Programs on the Development of Social Communication in Children with Autism Spectrum Disorder: A Systematic Review

Autism spectrum disorder (ASD) in children is characterized by difficulties in social communication and restricted repetitive behavior patterns. Music therapy appears to have beneficial effects in the area of social interaction and communication. The aim of this systematic literature review is to investigate the effectiveness of music therapy programs on the development of social communication among preschool- and school-aged children with ASD. For this purpose, a detailed study of the relevant literature that has been published in the last decade in peer-reviewed scientific journals was conducted. Web of Science, Springer Link, PsyINFO, and ERIC databases were searched, and according to the eligibility and exclusion criteria, 12 studies were finally selected from the 167 initially found. From the analysis of the results, the following categories were defined to contribute to enhancing social communication: (a) improvisational music therapy; (b) joint attention and eye contact; (c) therapeutic relationship, synchronization, and attunement; (d) imitation; (e) understanding and interaction; (f) family-centered music therapy; and (g) language and socioemotional adjustment. The results of the review were mixed, as music therapy appeared to have a positive effect on improving the social communication of children with ASD, but a general conclusion could not be drawn about the degree of its effectiveness compared to the standard treatments that children usually receive. In the future, further research in this field, especially on the improvisational music Therapy technique, is recommended. Moreover, an increased focus on the development of a common methodological practice regarding the sample selection process and measurement tools is suggested.

A Multi-Target mechanism of Withania somnifera bioactive compounds in autism spectrum disorder (ASD) Treatment: Network pharmacology, molecular docking, and molecular dynamics simulations studies

Autism spectrum disorder (ASD) is a developmental disorder resulting from variations in brain structure and function. Individuals with ASD often experience challenges in communication and social interaction, along with engaging in repetitive or restricted patterns of behavior and interests. The lack of documented data and the wide range of pathophysiological processes associated with ASDmake it challenging to work which causes a major financial burden on health care management. Withania somnifera, often referred to as ashwagandha is the tropical winter cherry in the Solanaceae family that can be used to treat several ailments such as asthma, stress, hypertension,diabetes, cancer, arthritic, and neural disorders including ASD. In this investigation, we examined the active compound-target-pathway network and discovered that Withanolide J, Withanone, and Withaferin A have a great role in the onset of ASD by influencing the IL6 gene. Later, the molecular docking method was applied for confirmation of the active compound's effective action against the prospective target. The molecular dynamics simulation exhibited that the complexes of Withanolide J and Withanone had stable intermolecular binding conformation and unveiled very stable dynamics during the simulation time. A combined network pharmacology and molecular docking approach demonstrated that W. somnifera exhibits a promising preventive impact on ASD by targeting relevant signaling pathways associated with the disorder. This establishes a foundation for comprehending the underlying mechanism of the anti-ASD activity of W. somnifera.