Diagnosis Of Autism Spectrum Disorder Research Articles

Enhancing early detection of autistic spectrum disorder in children using machine learning approaches

Diagnosing Autism Spectrum Disorder (ASD) presents a multifaceted challenge, demanding accurate and efficient screening methods. Applying machine learning techniques offers a promising avenue for enhancing diagnostic accuracy and efficiency. This research investigates the efficiency of machine learning in distinguishing individuals with ASD from those without, utilizing a comprehensive dataset comprising screening questions, demographic factors, and ASD related diagnostic classifications. We applied chi-square feature selection technique and also tested Random Forest, Logistic Regression, Gradient Boosting Classifier, and Extra Trees Classifier. Each model showed optimal performance and exhibit high precision, recall, and F1-score for both ASD-positive and ASD-negative instances. Additionally, AUROC curves further validated the models’ exceptional discriminatory abilities, with exceptional results. Our findings highlight the potential of machine learning algorithms for enhancing ASD diagnosis accuracy and efficiency in clinical settings. Further research and validation on larger datasets are required to understand the importance of machine learning methods in ASD diagnosis.

Prevalence, incidence, and characteristics of autism spectrum disorder among children in Beijing, China.

It is the first study to explore the prevalence, incidence, and co-occurring conditions of autism spectrum disorder for the preschoolers in China. The prevalence and incidence of autism spectrum disorder has increased in recent decades. Autism spectrum disorder has become an important public concern worldwide. In this study, all hospital confirmed cases had an associated diagnosis (International Classification of Diseases, 10th revision (ICD-10) codes: F84.0, 84.5, F84.9). In total, 4457 children aged 4-6 years were identified as having autism spectrum disorder. In 2021, 1 in 95 children aged 6 years, 1 in 115 children aged 5 years, and 1 in 130 children aged 4 years were estimated to have autism spectrum disorder in Beijing. The incidence was 0.11% in 2019 and increased to 0.18% in 2021. There has been a great emphasis on the importance of early autism spectrum disorder diagnosis in large cities in China.

Fecal microbial marker panel for aiding diagnosis of autism spectrum disorders.

Accumulating evidence suggests that gut microbiota alterations influence brain function and could serve as diagnostic biomarkers and therapeutic targets. The potential of using fecal microbiota signatures to aid autism spectrum disorder (ASD) detection is still not fully explored. Here, we assessed the potential of different levels of microbial markers (taxonomy and genome) in distinguishing children with ASD from age and gender-matched typically developing peers (n = 598, ASD vs TD = 273 vs 325). A combined microbial taxa and metagenome-assembled genome (MAG) markers showed a better performance than either microbial taxa or microbial MAGs alone for detecting ASD. A machine-learning model comprising 5 bacterial taxa and 44 microbial MAG markers (2 viral MAGs and 42 bacterial MAGs) achieved an area under the receiving operator curve (AUROC) of 0.886 in the discovery cohort and 0.734 in an independent validation cohort. Furthermore, the identified biomarkers and predicted ASD risk score also significantly correlated with the core symptoms measured by the Social Responsiveness Scale-2 (SRS-2). The microbiome panel showed a superior classification performance in younger children (≤6 years old) with an AUROC of 0.845 than older children (>6 years). The model was broadly applicable to subjects across genders, with or without gastrointestinal tract symptoms (constipation and diarrhea) and with or without psychiatric comorbidities (attention deficit and hyperactivity disorder and anxiety). This study highlights the potential clinical validity of fecal microbiome to aid in ASD diagnosis and will facilitate studies to understand the association of disturbance of human gut microbiota and ASD symptom severity.

Immune alterations in children with autism spectrum disorders

Autism spectrum disorders (ASD) are a heterogeneous group of mental and nervous system disorders. Patients with ASD are characterized by communication and cognitive impairments and obsessive behavior. The pathogenesis and etiology of ASD are still unclear. According to the literature, patients suffering from ASD have not only mental, but also somatic disorders, including changes in the immune system. The aim of this work was to study the concentration of cytokines in the blood plasma of children with ASD and the level of expression of proinflammatory genes in peripheral blood mononuclear cells. The clinical group included 71 children aged 4-12 years with a diagnosis of ASD (F84.02). Patients scored more than 36 on the Childhood Autism Rating Scale (CARS). The control sample included 27 apparently healthy children of the same age. The following methods were used in this study: isolation of mononuclear cells from heparinized peripheral blood, Ficoll-Verografin density gradient centrifugation, evaluation of cytokine blocks using commercially available enzyme immunoassay kits, isolation of random total RNA, reverse transcription using hexaprimers, and real-time polymerase chain reaction using intercalating dye SYBR Green. The concentration of proinflammatory cytokines IL-1β, IL-8, and IL-17A in the peripheral blood plasma of children with ASD was statistically significantly increased compared to the control sample. Moreover, the concentration of the anti-inflammatory cytokine IL-10 in patients with ASD was 3.6 times lower compared to the control sample (p 0.001). The level of expression of the NF-κB1, IL1β, IL8 and TNFα genes at the RNA level in peripheral blood mononuclear cells was increased by 2.8, 2.5, 4.8 and 4.2 times in patients with ASD compared to the control sample (all p 0.01). The results obtained indicate an increase in the concentration of proinflammatory cytokines (IL-1β, IL-8, IL-17A) in the blood plasma and a decrease in the concentration of anti-inflammatory cytokines (IL-10) in patients with ASD compared to the control sequence.

Autism spectrum disorder (ASD) presentations among referrals to a child and adolescent mental health service (CAMHS) inpatient unit in Ireland.

This retrospective chart review aimed to identify the intersection between young people with Autism Spectrum Disorder (ASD)'s needs and CAMHS inpatient service needs. A retrospective chart review was conducted on all referrals to a CAMHS inpatient unit over three years (n = 352). Referrals which specified a formal diagnosis or suspected diagnosis of ASD were identified (n = 111), and basic demographic data were collected. Young people with either a formal or suspected diagnosis of ASD referred to the unit presented with a wide range of co-occurring conditions. Of these young people, 30 were admitted to the unit and only 6 of them were engaged with an ASD specialist service. Young people with diagnosed or suspected ASD were more likely to be admitted if they presented with suicidality. Males with diagnosed or suspected ASD were more likely to have a diagnosis of OCD while females with diagnosed or suspected ASD were more likely to present with eating and feeding disorders and personality development difficulties. Findings highlight the lack of a clear care pathway for young people with co-occurring autism or suspected autism and complex mental health problems.

28 Vaccination experiences for children with special needs - An examination of the impact of behaviours on vaccine uptake

Abstract Background While vaccines have been one of the most effective medical interventions to reduce the morbidity and mortality of many communicable illnesses, many factors have led to suboptimal immunization rates amongst paediatric patients. One of which that has not been explored widely in research literature is the impact of maladaptive behaviours on annual immunization rates. Behaviours such as aggression, agitation and flight are common amongst children with a neurodevelopmental diagnosis such as autism spectrum disorder, global developmental delay, and intellectual delay. When children are young, physical restraints by parents are often the method used to aid in the administration of the vaccine. However, as they age physical restraints is often regarded as inappropriate. Objectives The purpose of this study is to determine the extent in which disruptive behaviours (aggression, agitation and flight) affect annual vaccination rates for children with a neurodevelopmental diagnosis above the age of 6 years where physical restraining for vaccinations is no longer deemed appropriate or safe. Design/Methods Families with children diagnosed with Autism Spectrum Disorder (ASD), Intellectual Disorder (ID), and/or Global Developmental Delay (GDD) aged 6-17 years, seen through outpatient clinics at the Ron Joyce Children’s Health Centre of McMaster Children’s hospital in Hamilton between November 2022 – April 2023 were invited to participate in this cross sectional survey. The study aimed to capture both quantitative data on vaccine uptake and qualitative data on how vaccination experiences could be improved for children with neurodiversity. Results A total of 109 participants completed the survey. Among them, forty-three (39%) participants had a diagnosis of ASD and sixty-six (51.2%) had a diagnosis of global developmental delay or intellectual disability. Forty-six (45.6%) and 82 (76%) did not receive the Covid-19 and the influenza vaccination respectively. Of the children that did not receive the CoVid-19 vaccine, fourteen (30%) of the families had brought their child to be vaccinated, but the health care team could not administer the vaccine due to their child’s behaviours and twenty-one (37%) of the families anticipated that the vaccination would be a difficult experience because of their child’s behaviours and did not bring their child to get vaccinated. Of the children that did not receive the influenza vaccine, fifteen (18%) families had brought their child to be vaccinated, but the health care team could not administer the vaccine due to the child’s behaviours and 42 (50%) families anticipated that the vaccination would be a difficult experience because of their child’s behaviours and did not bring their child to get vaccinated. The main themes that emerged from the studies on ways to improve the vaccination experience for families include administering the vaccine in a low sensory environment, decreasing wait time, and ensuring clinic staff have experience in caring for children with special needs. Conclusion Children with special needs are a vulnerable population warranting concerted effort to ensure equitable access to immunizations. Interventions such as clinics specifically designed for children with neurodiversity should be implemented with the hope to further improve immunization rates within this population.

21 Exploring the clinical presentation and health service utilization in autistic children and adolescents diagnosed with avoidant / restrictive food intake disorder: A descriptive study

Abstract Background Avoidant/restrictive food intake disorder (ARFID) is an eating disorder with much clinical variability, negatively impacting growth, nutrition, psychosocial functioning and overall well-being. ARFID is more frequently reported in neurotypical populations than in neurodivergent populations. Little is known about the clinical presentation and healthcare utilization of autistic individuals with ARFID. Objectives The purpose of this study was to understand the clinical presentation, laboratory abnormalities and health system utilization amongst autistic individuals diagnosed with ARFID within the community. Design/Methods We completed a comprehensive multidisciplinary assessment on autistic individuals less than18 years of age who were diagnosed with ARFID by their community physician. Recruitment period: June 2020-June 2021. Results Nineteen autistic individuals completed a comprehensive multidisciplinary assessment; of these, 42.1% (8/19) met criteria for Autism Spectrum Disorder (ASD) severity level 1. The onset of restrictive eating manifested at M(SD)= 2.5 (0.7) years, and the age of ASD diagnosis was 4.2 (3.8) years. Of these, 78.9% (15/19) had the onset of feeding difficulties either prior to or at the time of their ASD diagnosis (Figure 1). Dependence on enteral feeding or nutritional supplements (74%), psychosocial impairment (68%), and nutritional deficiencies (42%) were the criteria commonly met for ARFID. Sensory-based avoidance (100%) and lack of interest in food (89%) were the two most reported potential drivers for the dysfunctional feeding behaviour based on the Pica , ARFID, and Rumination Disorder Interview-AR-Q. Neurodevelopment disorder comorbidities included ADHD (26.3%), Anxiety (21.1%), and Intellectual Developmental Disability (15.8%). Constipation (68.4%) and nutritional deficits (63.15%) were the most common medical comorbidities recorded. Nutritional profile revealed Vitamin D deficit in 50% (8/16), Anaemia 21% (4/19), Vitamin B1 deficit 20% (2/10). Additionally, three participants (17.7%, 3/17) had deficits in Vitamin B12, Zinc, Vitamin C and low ferritin levels. Four autistic individuals (21.1%, 4/19) were hospitalized because of their restrictive eating. 68.4% (13/19) autistic individuals had involvement of at least one allied health professional (OT or SLP or BT). No participants had a prior multidisciplinary feeding assessment or intervention to address restrictive eating. Conclusion ARFID is an eating disorder observed within autistic individuals. Evidence suggests food related sensory sensitivities and lack of interest in food are potential drivers of ARFID in the context of ASD. A comprehensive multidisciplinary assessment is needed to elucidate factors driving restrictive eating to inform targeted evidence-based interventions.

Characteristics of Individuals Losing Autism Diagnosis: A Comparative Study With Typically Developing and Autism Spectrum Disorder Individuals.

This study aims to reveal the characteristics of individuals who have lost an autism spectrum disorder (ASD) diagnosis and to evaluate their current psychiatric diagnoses. Additionally, the study aims to compare individuals who have lost ASD with typically developing (TD) individuals and those with ASD in terms of current psychopathology, functionality and sociodemographic and clinical variables. The study included a total of 85 participants aged between 5 and 18, comprising 30 individuals who no longer meet the criteria for ASD (loss of autism diagnosis or LAD), 32 individuals with ASD and 23 TD individuals. While the sociodemographic data form and Childhood Autism Rating Scale (CARS) were completed by the clinician, the Autism Behavior Checklist (ABC) and Social Responsiveness Scale (SRS) were completed by the parents. It was found that the LAD group acquired speaking skills earlier, started special education sooner, received preschool education and physical exercise support for a longer duration and exhibited higher mental capacity and lower symptom severity compared to the ASD group. Moreover, 80% of the LAD group had at least one DSM-5 diagnosis. Scores on the ABC and SRS indicated a significant difference, with ASD > LAD > TD. Even if ASD regresses, individuals may still experience residual difficulties and remain at risk for other psychopathologies. Therefore, it is crucial to maintain monitoring and support processes.

Traits of Developmental Disorders in Adults With Listening Difficulties Without Diagnosis of Autism Spectrum Disorder And/or Attention-Deficit/Hyperactivity Disorder.

Background: Some individuals have a normal audiogram but have listening difficulties (LiD). As many studies have investigated the relationship between listening and developmental disorders, the traits of developmental disorders might explain the symptoms of LiD. In this study, we examined the traits of developmental disorders of adults with LiD to help clarify the cause of LiD symptoms. Methods: In total, 60 adults with LiD and 57 adults without LiD were included. Participants completed a questionnaire for the autism spectrum quotient (AQ) test, the Adult Attention-Deficit Hyperactivity Disorder Self-Rating Scale (A-ADHD), the Adolescent/Adult Sensory Profile (SP), and the severity of subjective LiD in daily life. Results: Before analysis, we excluded participants with LiD who were already diagnosed or met the criteria for autism spectrum disorder (ASD) or ADHD, and the results of the remaining 30 participants (50.0%) with LiD were analyzed. Adults with LiD showed higher scores than those without LiD in the AQ. Attention switching in the AQ and attention ability in the A-ADHD scale were correlated with the severity of LiD symptoms in everyday life. The AQ scores were also significantly correlated with subscales of the SP. Conclusions: Adults with LiD showed greater autistic traits than those without LiD; therefore, LiD symptoms are possibly related to autistic symptoms. Furthermore, adults with LiD might have attention disorder traits of both ASD and ADHD and sensory processing problems. These findings suggest that the attention problems in adults with LiD noted in previous studies might be related to these traits of developmental disorders.

Predicting language, cognition, and social skills in individuals with Autism spectrum disorder using the Arabic validation of Gilliam Autism Rating scale-Third Edition

The Gilliam Autism Rating Scale-Third Edition (GARS-3) has emerged as a pivotal instrument in the diagnostic assessment of Autism Spectrum Disorder (ASD), with its utility extending across linguistic and cultural boundaries. This study endeavors to adapt and validate the GARS-3 for the Arabic-speaking population, addressing the paucity of culturally congruent diagnostic tools in the Arab world. The primary objective is to validate the Arabic version of GARS-3 (A-GARS-3) to assess children with and without ASD, ensuring the scale’s reliability and validity within the target population. A methodical cross-sectional study design was employed, encompassing a sample of 178 participants from both educational and clinical settings in Saudi Arabia. The process involved direct translation, expert panel review, back-translation, and pilot testing to ensure semantic equivalence and cultural relevance. Data were collected using the A-GARS-3, and analyses included Exploratory and Confirmatory Factor Analysis (EFA and CFA), internal consistency reliability measures, and a One-Way Analysis of Variance (ANOVA) to establish concurrent validity. The A-GARS-3 demonstrated high internal consistency (Cronbach’s alpha = 0.971; McDonald’s omega = 0.972) and strong construct validity, with factor loadings and model fit indices substantiating the factor structure. Predictive validity was confirmed through significant correlations between the Autism Index and the subscales, particularly in the domains of social interaction and communication. The A-GARS-3 is a psychometrically sound instrument that offers reliable assessment for ASD within the Arab cultural context. The positive validation outcomes indicate that the scale is an effective, culturally adapted tool for the localized diagnosis of ASD. The validated scale has significant implications for enhancing ASD screening and diagnostic practices in Arabic-speaking regions, potentially improving early diagnosis and intervention strategies.

An Analysis of the Time Required for the Diagnosis of ASD and the Factors Influencing Its Duration in a Sample of the Pediatric Population from Poland.

Background/Objectives: Early diagnosis of autism spectrum disorder (ASD) is a very important factor for improving the quality of life of people on the spectrum, but it still remains a major problem in Europe, especially concerning girls. In this study, we tried to answer the question of what factors affect the age of diagnosis in Poland. Additionally, we tried to establish the time between the first visit to the mental health center (MHC) and the diagnosis in this population, and what factors affect its length. Methods: 77 children were randomly recruited among the patients who came to local MHC at the Child and Family Health Centre in Sosnowiec. All participants were tested using the ADOS-2 protocol. In addition, the study used the TAS-20 test and BDI. Results: The mean age of the first enrollment in the MHC was 9.09 years for girls and 6.42 for the boys. The time needed to obtain a diagnosis from the first visit was consecutively 2.90 years and 4.29 years, but the difference was not statistically significant (p > 0.05). Obtaining a different psychiatric diagnosis did not affect the average time to diagnosis and the age of diagnosis. Conclusions: The results of the study indicate that the diagnosis of ASD is still a significant problem both in Poland and in the world. Obtaining an accurate diagnosis requires significant time, and it frequently involves consulting multiple specialists. The diagnostic process should be flexible, and the specialist should always take into account the axial symptoms but remain aware that the "overdiagnosis" of ASD can also have harmful consequences for the child.

Bayesian optimization of one-dimensional convolutional neural networks (1D CNN) for early diagnosis of Autistic Spectrum Disorder

Autistic Spectrum Disorder (ASD) is a challenging neurological development disorder, which involves poor social interaction, communication, and repetitive behaviours. If autism is identified early enough it can be treated with better outcomes but present diagnostic tests are dependent on subjective opinion, consume a lot of time, and are vague. This study is aimed at optimizing one-dimensional convolutional neural networks (1D CNN) to improve the precision and speed of early ASD diagnosis. Four ASD datasets representing different age groups — toddlers, children, adolescents, and adults were modelled using one-dimensional convolutional neural networks (1D CNN). These datasets are accessible to the public on the UCI Machine Learning Repository and Kaggle, they consist of behavioural features relevant to ASD diagnosis. Each dataset underwent feature selection, categorical encoding, and missing value handling. Then, baseline 1D CNN with predefined hyperparameters was modelled on each of the datasets. Subsequently, the baseline models were optimized using the Tree-structured Parzen Estimator (TPE). An interactive web-based ASD diagnostic tool was developed, where user inputs are processed through age-specific pre-trained optimized models to determine ASD probability. The optimized 1D CNN models significantly outperformed the baseline models across all age groups and achieved scores of 100% in accuracy, precision, recall, F1-score, MCC, and AUC ROC. This implies that the optimized models can reliably identify people in various age groups who have and do not have ASD. The development of an interactive web-based diagnostic tool extends the practical utility of the models, making them accessible for clinical and at-home use.

Autism Spectrum Disorder and Associated Factors in Children in Spain, 2017: Population-Based Cross-Sectional Study.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with biological, multicausal and polygenic origins. The true prevalence of ASD has not been clearly established. The aim of this study was to estimate the prevalence of ASD in children aged 3 to 14 years in Spain and to analyze the factors associated with it. A cross-sectional observational study using data from the 2017 National Survey of Health in Minors in Spain. Primary outcome was the diagnosis of ASD, and sociodemographic, behavioral, health-related, the use of health services, household and medication use variables was analyzed. Multivariable logistic regression model with a correction for modelling rare events was fitted. Complex sampling was undertaken, using the survey elevation factor in the analysis. A total of 4409 children were included, and there were 26 children with ASD, for a prevalence of 0.59%, representing 29,143 children with ASD. Factors significantly associated were male sex, having visited a psychologist, and/or a speech therapist in the past year, presenting probable problems with peers, antisocial behavior, taking antibiotics and taking other medications. The findings of this study may be useful to inform health policies and develop strategic plans to identify and address the needs of children with ASD.

DESAFIOS E RESILIÊNCIA: UMA ANÁLISE DAS DIFICULDADES ENFRENTADAS POR MÃES DE FILHOS NO ESPECTRO AUTISTA

The diagnosis of Autism Spectrum Disorder presents some challenges and singularities, the limitations in its development entail a series of demands and significant changes in the family's routine and child care. The objective of this article is to understand the difficulties and experiences faced by mothers with children diagnosed with Autism Spectrum Disorder (ASD). The expected results will be significant in highlighting the challenges faced by mothers of children with Autism Spectrum Disorder (ASD), including the emotional impact of the diagnosis, the need to access specialized resources, the burden of care and difficulties in social interaction. Based on the studies analyzed, we hoped to understand this complex and significant issue faced by mothers of children with ASD in the care process. Research will play a relevant role in the development of policies and support programs that can protect the feminine essence and promote quality of life for families in society.

Obstáculos para o diagnóstico e tratamento do transtorno do espectro autista

Objective: To understand the obstacles that reduce accessibility to the diagnosis and treatment of autism spectrum disorder (ASD). Literature review: ASD is a disorder characterized by difficulties in social interaction, impairments in communication and restricted patterns of behavior. Its diagnosis is clinical, based on behavioral observations and the patient's history and on criteria defined in the Diagnostic and Statistical Manual of Mental Disorders (DSM – 5). Treatment includes pharmacological and behavioral approaches. However, the difficulties and challenges found in the literature include the symptomatological heterogeneity of ASD, the need for training health professionals and a more accurate assessment through a multidisciplinary team. Late diagnosis or its absence can lead to unfavorable outcomes in adult life, such as: anxiety, depression, and difficulty in interpersonal relationships. Recent studies include the use of specific biomarkers and innovative therapies that are not yet accessible. Final considerations: Early diagnosis and appropriate treatment are ideal for improving the quality of life of individuals with ASD. The importance of the doctor and new studies to improve therapeutic choice in ASD is also highlighted.

Causal Metabolomic and Lipidomic Analysis of Circulating Plasma Metabolites in Autism: A Comprehensive Mendelian Randomization Study with Independent Cohort Validation.

The increasing prevalence of autism spectrum disorder (ASD) highlights the need for objective diagnostic markers and a better understanding of its pathogenesis. Metabolic differences have been observed between individuals with and without ASD, but their causal relevance remains unclear. Bidirectional two-sample Mendelian randomization (MR) was used to assess causal associations between circulating plasma metabolites and ASD using large-scale genome-wide association study (GWAS) datasets-comprising 1091 metabolites, 309 ratios, and 179 lipids-and three European autism datasets (PGC 2015: n = 10,610 and 10,263; 2017: n = 46,351). Inverse-variance weighted (IVW) and weighted median methods were employed, along with robust sensitivity and power analyses followed by independent cohort validation. Higher genetically predicted levels of sphingomyelin (SM) (d17:1/16:0) (OR, 1.129; 95% CI, 1.024-1.245; p = 0.015) were causally linked to increased ASD risk. Additionally, ASD children had higher plasma creatine/carnitine ratios. These MR findings were validated in an independent US autism cohort using machine learning analysis. Utilizing large datasets, two MR approaches, robust sensitivity analyses, and independent validation, our novel findings provide evidence for the potential roles of metabolomics and circulating metabolites in ASD diagnosis and etiology.

Efficacy and safety of JNJ-42165279, a fatty acid amide hydrolase inhibitor, in adolescents and adults with autism spectrum disorder: a randomized, phase 2, placebo-controlled study.

JNJ-42165279, a highly selective and orally bioavailable fatty acid amide (FAA) hydrolase inhibitor, was evaluated for efficacy and safety in adolescents and adults with autism spectrum disorder (ASD) in this phase 2, double-blind, placebo-controlled, multicenter study (NCT03664232). Participants aged 13-35 years, with a diagnosis of ASD (Diagnostic and Statistical Manual of Mental Disorders, 5th edition; Autism Diagnostic Observation Schedule, 2nd edition) were randomized (1:1) to 12 weeks of treatment with JNJ-42165279 (25 mg, twice-daily) or placebo. Primary endpoints were the change in the Autism Behavior Inventory (ABI) Core Domain (ABI-CD), ABI-Social Communication (ABI-SC), and ABI-Repetitive/Restrictive Behavior (ABI-RB) scores from baseline to day 85. Of the 61 participants (16 female, 45 male) included in the efficacy analyses, 53 (87%) completed the double-blind treatment. At day 85, the JNJ-42165279 group did not show a statistically significant reduction in ASD symptoms versus placebo, as assessed with ABI-CD (p = 0.284), ABI-SC (p = 0.290), and ABI-RB (p = 0.231). However, the following secondary outcomes exhibited small to moderate changes directionally favoring JNJ-42165279: Social Responsiveness Scale 2 (SRS, p = 0.064), Repetitive Behavior Scale-Revised (RBS-R, p = 0.006), Zarit Burden Interview short version (ZBI, p = 0.063), Child Adolescent Symptom Inventory-Anxiety (CASI-Anx, p = 0.048), and Caregiver Global Impression of Severity (p = 0.075). Notably, versus placebo, JNJ-42165279-treated participants showed increased concentrations of FAAs throughout the treatment period, with those achieving elevated concentrations experiencing the greatest reduction in the SRS total score at day 85. JNJ-42165279 demonstrated an acceptable safety profile. Although primary endpoints were not met, JNJ-42165279 may have a therapeutic effect on certain aspects of core ASD symptoms.

Perinatal and Demographic Risk Factors Associated with Autism Spectrum Disorder: A National Survey of Potential Predictors and Severity.

INTRODUCTION: This study investigates autism spectrum disorders (ASD) in Greece, focusing on estimating prevalence and identifying regional disparities in children aged 4 to 7 years. MATERIALS AND METHODS: Utilizing a quantitative, descriptive, and exploratory methodology, the research employed a structured questionnaire to gather extensive maternal and child health data. RESULTS: The sample consisted of 517 mothers of children diagnosed with ASD from all over Greece, contributing to a nuanced understanding of ASD predictors. This study aims to elucidate the role of prenatal factors in the likelihood of an ASD diagnosis and their impact on the subsequent functionality of children with ASD. The study identified significant predictors of lower functionality in children with ASD, including higher maternal age, delayed ASD diagnosis, lower family income, and higher birth order. Prenatal health issues, such as vaginal bleeding and infections, also influenced functional outcomes. Notably, a family history of neurological or psychiatric conditions appeared protective. DISCUSSION: The regression model demonstrated robust predictive power, underscoring the complexity of genetic, environmental, and socioeconomic factors in ASD development. The findings advocate for early diagnosis and intervention, systematic screening, and addressing socioeconomic disparities to improve functional outcomes. The results support evidence-based service development and policy adjustments to enhance early identification, intervention, and rehabilitation for children with ASD. CONCLUSIONS: Establishing standardized case-recording procedures and an ASD register at national and regional levels is recommended for systematic monitoring and resource evaluation.

CONTINUOUS SCORING OF AUTISM SPECTRUM DISORDER PATIENTS BY ANALYZING THEIR EEG SIGNALS

Clinical manifestations and standard psychological tests have been widely used to diagnose autism spectrum disorder (ASD) patients and evaluate their severity level. The gold-standard criterion to diagnose ASD patients is the childhood autism rating scale (CARS), which is a qualitative questionnaire that is filled out through a systematic interview while no physiological test/record is performed to determine this score. To make the diagnosis process quantitative, electroencephalography (EEG) signals have been repeatedly analyzed to differentiate healthy subjects from ASD patients. However, the precise relationship between the abnormal behavior of EEG signals and different ASD severity levels is not well investigated. Here, we use CARS to qualitatively determine the severity level of 14 autistic children, who voluntarily enrolled in our study. We recorded their EEG signals from 19 scalp channels when they were awake in the idle state and elicited three informative features including approximation entropy, multiscale entropy and sample entropy in successive time frames. Among the three measures of entropy, the last one exhibits the highest sensitivity, where its correlation coefficient (CC) exceeds 0.7, on the electrode positions T6 (CC [Formula: see text] 0.74), P4 (CC [Formula: see text] 0.76) and Cz (CC [Formula: see text] 0.75). Results of sample entropy in channels Cz-versus-Pz and P4-versus-FP2 show that a simple K-nearest neighbor classifier can provide 93% classification accuracy among patients with mild, moderate and severe ASD levels. Comparing the proposed method to the conventional ones, we also extracted power spectral density features from the channels but they failed to identify the ASD severity level with an acceptable accuracy.

Initial examination of use of the Brief Observation of Social‐Communication Change (BOSCC) across home and school contexts

AbstractThis study investigated the potential influences of administration context on the measurement of child skills. The Brief Observation of Social‐Communication Change (BOSCC) was administered at two time points to preschool‐aged children with autism in two contexts: (1) at school by trained research staff and (2) at home by the parent. Participants were of ages 3–5 years (M = 4.27 years) old with a confirmed diagnosis of Autism Spectrum Disorder. Of the 13 participants (nine male), eight were White, three Asian, one Black and one White/Black; all identified as non‐Hispanic. The social‐communication and Core total scores yield similar information in both contexts, but Restricted and Repetitive Behaviors and Other Abnormal Behavior subscales scores were not related. These results underscore the importance of purposeful selection of measures and their administration context.