Features Of Autism Spectrum Disorder Research Articles

Exposure to different PM2.5 extracts induces gliosis and changes behavior in male rats similar to autism spectrum disorders features

Epidemiological studies have documented that exposure to fine particulate matter (PM2.5) could affect neurodevelopment, thereby leading to autism spectrum disorders (ASD). Nevertheless, there is little laboratory data to support this epidemiological evidence. In the current study, we carried out a series of experiments to assess whether developmental exposures to different extracts of PM2.5 can result in ASD-like behavioral, biochemical, and immunohistochemical characteristics in male rat offspring. PM2.5 samples were collected daily for a year, and monthly composites were extracted with an acetone-hexane mixture. The extracts were analyzed for their chemical constituents. Three groups of rats were exposed to the different PM2.5 extracts during pre- and postnatal periods. All exposed groups of rats exhibited typical behavioral features of ASD, including increased repetitive and depression-related behaviors. We also found microglia and astrocytes activation and decreased concentrations of oxytocin (OXT) in the brain regions of exposed rats compared with control rats. Comparing the current results with a prior study, the induced biological effects followed a sequence of whole particles of PM2.5 > organic extract > inorganic extract. These findings indicated that exposure to PM2.5 can elicit ASD-like features in rats and raise concerns about particulate matter as a possible trigger for the induction of ASD in humans; therefore, mitigating the contents of the PAHs and metals could reduce the PM2.5 neurotoxicity.

A longitudinal study of autism spectrum disorder characteristics in adolescents with restrictive type anorexia nervosa during and after underweight.

This prospective, longitudinal study aims to compare the prevalence of autism spectrum disorder (ASD) characteristics in adolescents with anorexia nervosa (AN) during and after underweight in order to help unravel the complex link between both conditions. 24 adolescents with AN completed the youth self-report, autism spectrum quotient (AQ) or autism spectrum quotient adolescent version (AQ - adolescent) and a questionnaire designed by the researchers during a state of underweight and after weight recovery. AQ total score and several AQ subscale scores at the time of underweight are significantly higher than after weight recovery with medium to large effect sizes. Linear modelling cannot prove a significant effect of weight gain, internalizing problems or medication use on AQ score, but it does show an association between AQ during underweight and AQ after weight recovery. The results highlight the complexity of the link between AN and ASD characteristics. Although a clear change in AQ score is seen in part of the participants, this effect cannot be generalized and a link with weight change cannot be demonstrated. It seems likely that ASD characteristics in AN are a combination of trait and state: underweight and starvation might exacerbate potentially present traits. Part of our results may indicate the existence of subgroups based on AQ score during underweight. Our study supports the theory that more ASD characteristics at T1 may result in a poorer outcome and a higher need for specified and intensive treatment.

B - 24 Neuropsychological Profile of a Child with ASD, ADHD, and Psychotic Features.

Autism Spectrum Disorder (ASD), Attention Deficit-Hyperactivity Disorder (ADHD), and psychotic traits, although highly comorbid, have rarely been studied in children. Existing research indicates that impulsivity, comprehension difficulties, and inflexibility are overlapping symptoms within the ASD and ADHD populations. Adult research shows high comorbidity estimates between ASD and psychosis. Here we describe the neuropsychological profile of a 14-year-old boy with diagnoses of ASD and ADHD with psychotic features. We highlight the value of comprehensive and flexible neuropsychological assessment while integrating detailed testing, behavioral observations, and collateral report. Medical history of this child included late-term and breech birth with his first Apgar score at expected level and his second score falling below expected level. Delayed acquisition of developmental milestones, learning difficulties, speech difficulties, anxiety, and hyperactivity, were reported. Auditory hallucinations triggered by stress were observed during evaluation. Comprehensive neuropsychological evaluation requires nonstandard exploration of cognitive domains and time-limited testing sessions to acquire robust estimates of functioning. Overall cognitive abilities were in the borderline range with highly variable academic performances (extremely low to average). All performances were grossly below age level and were significantly impacted by auditory hallucinations but were consistent with the diagnoses of ASD and ADHD. This case of a boy with ASD, ADHD, and auditory hallucinations demonstrates the diagnostic overlap among these conditions and the necessity for flexible neuropsychological testing, detailed behavioral observations and caregiver report in the assessment of overlapping clinical features. Multiple sources of data are required to identify patterns in symptomatology to inform differential diagnosis and comorbidities.

A - 177 The Self-Concept Scale of Conners Adult Rating Scale in the Diagnosis of Autism Spectrum Disorder in Adults.

Self-report scales are beneficial in identifying symptoms of Autism Spectrum Disorder (ASD) in adults (Hayashi et al., 2021; Hull et al., 2019). Symptoms of ASD and attention-deficit/hyperactivity disorder (ADHD) overlap significantly even without dual-diagnosis (Nakagawa et al., 2021). The Conners Adult ADHD Rating Scale (CAARS) is a reliable and valid screening tool when identifying ADHD in adults, 78% sensitivity and 56% specificity (Abbass et al., 2021). Distinguishing features of ASD include restricted repetitive behaviors (RRB) and social interaction and communication deficits (SIC) (American Psychiatric Association, 2022). In adults, CAARS has shown a moderate correlation of RRB with the inattention (IA) and hyperactivity/impulsivity (HI) of ADHD; SIC moderately correlates with IA and mildly with HI. This study explores group differences when comparing Self-Concept (SC) Scale of CAARS in those diagnosed with ASD from clinical comparisons. Data composed of 93 adult participants, 7 diagnosed with ASD, were extracted from a midwest neuropsychological outpatient clinic and analyzed to determine the sensitivity of CAARS-SC in diagnosing ASD. Independent t-Test identified no significant effect for diagnosis, t(91) = -0.301, p = 0.764, despite those in the ASD group (M = 62.00, SD = 12.432) endorsing more concerns than those without the diagnosis (M = 60.47, SD = 12.996). This study did not identify significant group differences on the CAARS-SC when comparing those diagnosed with ASD to the clinical comparisons. Further implications and limitations will be explored to distinguish ASD from overlapping diagnoses to employ appropriate treatment and future psychometric research directions.

The Physiology of Cognition in Autism Spectrum Disorder: Current and Future Challenges.

Cognitive impairment is among the most challenging characteristics of autism spectrum disorder (ASD). Although ASD is one of the common neurodevelopmental disorders, we are still behind in diagnosing and treating cognitive impairment in ASD. Cognitive impairment in ASD varies, meaning it could be at the sensory perception level to cognitive processing, learning, and memory. There are no diagnostic criteria for cognitive impairment that are specific to ASD. The leading causes of cognitive impairment in ASD could be neurological, immune, and gastrointestinal dysfunction. Immune dysfunction might lead to neuroinflammation, affecting neural connectivity, glutamate/gamma-aminobutyric acid (GABA) balance, and plasticity. The gut-brain axes are essential in the developing brain. Special retinal changes have recently been detected in ASD, which need clinical investigation to find their possible role in early diagnosis. Early intervention is crucial for ASD cognitive dysfunction. Due to the heterogeneity of the disease, the clinical manifestation of ASD makes it difficult for clinicians to develop gold-standard diagnostic and therapeutic criteria. We suggest a triad for diagnosis, which includes clinical tests for immune and gastrointestinal dysfunction biomarkers, clinical examination for the retina, and an objective neurocognitive evaluation for ASD, and to develop a treatment strategy involving these three aspects. Developing clear treatment criteria for cognitive impairment for ASD would improve the quality of life of ASD people and their caregivers and would delay or prevent dementia-related disorders in ASD people.

Emotion Regulation and Prospective Memory in Children with Autism Spectrum Disorder: An Empirical Investigation

Introduction: Autism spectrum disorder (ASD) has often been associated with emotion dysregulation and poor memory functions. While both these aspects are integral to daily life, understanding their relationship with individuals with ASD is critical. Previous research has indicated amplified emotional response, suggesting emotion dysregulation to be a core feature of ASD. Findings in the area of prospective memory (PM) yield inconsistent results. Therefore, this study aims to explore parental assessment of emotion regulation (ER) strategies and PM in children with ASD. Methods: This cross-sectional research was conducted using proxy reports by parents using snowball sampling between the ages of 5 and 12 years (n = 40) and analyzed using ANOVA. Results: The factorial ANOVA revealed that children with ASD exhibited significantly lower utilization of cognitive reappraisal strategies compared to the neurotypical group (F [1, 78] = 29.829, P < 0.001). In addition, significant main effects were observed for cue (F [1, 78] = 4.191, P = 0.044) and term (F [1, 78] = 35.669, P < 0.001). However, the main effect of memory was not found to be statistically significant (F [1, 78] = 3.194, P = 0.078). Furthermore, a substantial group effect was detected in the context of memory performance (F [1, 78] = 135.170, P < 0.01). Conclusion: The findings suggest that parent rating on ER and PM can adequately provide an insight into the actual performance of children.

A Pilot Feasibility Study Assessing the Combined Effects of Early Behavioral Intervention and Propranolol on Autism Spectrum Disorder (ASD).

Autism spectrum disorder (ASD), a neurodevelopmental disorder typified by differences in social communication as well as restricted and repetitive behaviors, is often responsive to early behavioral intervention. However, there is limited information on whether such intervention can be augmented with pharmacological approaches. We conducted a double-blinded, placebo-controlled feasibility trial to examine the effects of the β-adrenergic antagonist propranolol combined with early intensive behavioral intervention (EIBI) for children with ASD. Nine participants with ASD, ages three to ten, undergoing EIBI were enrolled and randomized to a 12-week course of propranolol or placebo. Blinded assessments were conducted at baseline, 6 weeks, and 12 weeks. The primary outcome measures focusing on social interaction were the General Social Outcome Measure-2 (GSOM-2) and Social Responsiveness Scale-Second Edition (SRS-2). Five participants completed the 12-week visit. The sample size was insufficient to evaluate the treatment efficacy. However, side effects were infrequent, and participants were largely able to fully participate in the procedures. Conducting a larger clinical trial to investigate propranolol's effects on core ASD features within the context of behavioral therapy will be beneficial, as this will advance and individualize combined therapeutic approaches to ASD intervention. This initial study helps to understand feasibility constraints on performing such a study.

تأثير العلاج بأوميغا-3 على الأطفال المصابين بالتوحد في الرياض، المملكة العربية السعودية

This comprehensive review article explores the effect of omega-3 medication on autistic children in Riyadh, Saudi Arabia. Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by challenges in social communication and repetitive behaviors. Traditional treatment approaches for ASD have limitations, necessitating the exploration of alternative treatments. Omega-3 fatty acids, which are essential nutrients found in certain foods, have been associated with various health benefits, including potential benefits for managing ASD symptoms. The review begins by providing a detailed overview of the prevalence and characteristics of ASD, as well as the current treatment approaches and their limitations. It emphasizes the importance of exploring alternative treatments for ASD due to the need for more effective interventions. Next, the article delves into an in-depth exploration of omega-3 fatty acids, explaining their sources, types, and associated health benefits. The role of omega-3 supplementation in managing ASD symptoms is discussed, highlighting the potential mechanisms through which omega-3 fatty acids may exert their effects on the neurodevelopmental processes relevant to ASD. To support the potential benefits of omega-3 supplementation for autistic children, the review examines relevant research studies conducted on this topic. A comprehensive review of randomized controlled trials (RCTs), systematic reviews, and meta-analyses is provided, summarizing the key findings and conclusions. The review explores the varied outcomes observed in terms of improvements in social interaction, communication, and repetitive behaviors in autistic children after omega-3 supplementation. It also discusses the limitations and gaps in the existing research, highlighting the need for further studies to provide a clearer understanding of the effects of omega-3 medication on ASD symptoms.

Semi-natural housing rescues social behavior and reduces repetitive exploratory behavior of BTBR autistic-like mice

Environmental enrichment confers numerous benefits when implemented in murine models and can reduce behavioral symptomatology in models of disease, such as autism spectrum disorder (ASD). However, previous work did not examine the impact of early-life environmental enrichment on each core feature of ASD. We thus implemented a social and physical enrichment at birth, modeling a semi-natural housing, and examined its impact on communicative, social, sensory, and repetitive behaviors using BTBR (autistic-like) and C57BL/6 J (B6, wildtype) mice, comparing them to standard housing conditions. We found that environmental enrichment alleviated the social deficit of juvenile BTBR mice and reduced their repetitive exploratory behavior but did not affect their rough versus smooth texture preference nor the number of maternal isolation-induced pup calls. Environmental enrichment only affected the call characteristics of B6 mice. One interpretation of these data is that early-life environmental enrichment has significant therapeutic potential to treat selective core features of ASD. Another interpretation is that reducing environmental complexity causes selective behavioral deficits in ASD-prone mice suggesting that current standard housing may be suboptimal. Overall, our data illustrate the extent to which the environment influences behavior and highlights the importance of considering housing conditions when designing experiments and interpreting behavioral results.

Pragmatic language and associations with externalizing behaviors in autistic individuals and those who have lost the autism diagnosis

BackgroundPragmatic language weaknesses, a core feature of autism spectrum disorder (ASD), are implicated in externalizing behavior disorders (Gremillion & Martel, 2014). Particularly in a clinical setting, these co-occurring externalizing disorders are very common in autism; rates of Attentional Deficit-Hyperactive Disorder (ADHD) and Oppositional Defiant Disorder (ODD) are as high as 83% (ADHD) and 73% (ODD; Joshi et al., 2010). It is possible that pragmatic language weaknesses impact the ability to effectively communicate one’s needs, which may lead autistic children to utilize externalizing behaviors in order to achieve a desired outcome (Ketelaars et al., 2010; Rodas et al., 2017). MethodsThe aim of the current study is to investigate the relationship between pragmatic language, assessed via multiple modalities, and externalizing behaviors, assessed by parent interview, in youth with autistic (n = 33) or neurotypical (NT; n = 34) developmental histories, along with youth diagnosed with autism, who lost the diagnosis (LAD) by adolescence (n = 31). ResultsThe autism group had significantly more pragmatic language difficulties, and more externalizing behaviors and disorders; ADHD symptoms were particularly more prevalent, while LAD and NT groups did not differ. Challenges in pragmatic language abilities were associated with more externalizing symptoms when controlling for other facts that typically influence such symptoms, including nonverbal cognition, structural language, executive functioning, and autistic characteristics, but did not remain when age was included in the model. ConclusionsWe discuss the mechanisms underlying difficult-to-manage externalizing behaviors and implications for interventions and long-term outcomes for youth with and without a history of autism.

Emotional dysregulation as a part of the autism spectrum continuum: a literature review from late childhood to adulthood.

The concept of emotional dysregulation (ED) has recently gained interest in the scientific literature and is commonly defined as the inability to use the modulatory mechanisms involved in emotion regulation, resulting in a functioning meaningfully below the baseline. Even though the data available are still limited, an increasing number of studies have hypothesized a promoting role for some of the core features of autism spectrum disorder (ASD) in the development of ED, in particular being repetitive behaviors, social difficulties and alexythimia. In this framework, the purpose of this study was to review the literature that is currently available about presence and correlates of ED in young adults with autism spectrum conditions as well as to offer some insights about possible implications for illness trajectories. The data reported seems to point to a shared etiology between ED and repetitive/restricted ASD symptoms, with perseveration features serving as the foundation for the inability to control one's emotions. In this context, a neurodevelopmental basis for ED could be consistent with the transnosographic conceptualization of ASD, which hypothesizes a potential neurodevelopmental basis for several psychiatric disorders, whose autistic traits would be the phenotypical presentation.

Hybrid Techniques of Facial Feature Image Analysis for Early Detection of Autism Spectrum Disorder Based on Combined CNN Features.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by difficulties in social communication and repetitive behaviors. The exact causes of ASD remain elusive and likely involve a combination of genetic, environmental, and neurobiological factors. Doctors often face challenges in accurately identifying ASD early due to its complex and diverse presentation. Early detection and intervention are crucial for improving outcomes for individuals with ASD. Early diagnosis allows for timely access to appropriate interventions, leading to better social and communication skills development. Artificial intelligence techniques, particularly facial feature extraction using machine learning algorithms, display promise in aiding the early detection of ASD. By analyzing facial expressions and subtle cues, AI models identify patterns associated with ASD features. This study developed various hybrid systems to diagnose facial feature images for an ASD dataset by combining convolutional neural network (CNN) features. The first approach utilized pre-trained VGG16, ResNet101, and MobileNet models. The second approach employed a hybrid technique that combined CNN models (VGG16, ResNet101, and MobileNet) with XGBoost and RF algorithms. The third strategy involved diagnosing ASD using XGBoost and an RF based on features of VGG-16-ResNet101, ResNet101-MobileNet, and VGG16-MobileNet models. Notably, the hybrid RF algorithm that utilized features from the VGG16-MobileNet models demonstrated superior performance, reached an AUC of 99.25%, an accuracy of 98.8%, a precision of 98.9%, a sensitivity of 99%, and a specificity of 99.1%.

A Multi-Trait Multi-Method Examination of Psychometric Instrument Performance in Autism Spectrum Disorder.

Anecdotal evidence has suggested that rater-based measures (e.g., parent report) may have strong across-trait/within-individual covariance that detracts from trait-specific measurement precision; rater measurement-related bias may help explain poor correlation within Autism Spectrum Disorder (ASD) samples between rater-based and performance-based measures of the same trait. We used a multi-trait, multi-method approach to examine method-associated bias within an ASD sample (n = 83). We examined performance/rater-instrument pairs for attention, inhibition, working memory, motor coordination, and core ASD features. Rater-based scores showed an overall greater methodology bias (57% of variance in score explained by method), while performance-based scores showed a weaker methodology bias (22%). The degree of inter-individual variance explained by method alone substantiates an anecdotal concern associated with the use of rater measures in ASD.

Diagnostic Utility of Parent Ratings on the Behavior Assessment System for Children-Third Edition in Children who are Deaf and Hard of Hearing and Diagnosed with Autism Spectrum Disorder.

Between 1 to 2 of every 1,000 children are born deaf or hard of hearing (DHH) and, of those, 30-50% have additional disabilities, including Autism Spectrum Disorder (ASD). Most measures assessing ASD characteristics rely on some degree of behavioral response to sound (e.g., responding to name, listening response), and may not be appropriate for use with children who are DHH. Further, ASD specific measures do not provide information on a child's functional abilities across developmental domains. We conducted a cross-sectional analysis comparing mean T-scores on a standardized multidimensional measure, the Behavior Assessment System for Children, Third Edition, Parent Rating Scale (BASC-3 PRS), across three groups matched for age and sex: children who are DHH and diagnosed with ASD (DHH + ASD; n = 16); children who are DHH without ASD (DHH-ASD; n = 16); and children who are typically hearing with ASD (H + ASD; n = 16). Analyses revealed statistically significant differences across scales of Attention Problems, Atypicality, Withdrawal, Behavioral Symptoms Index, Social Skills, Leadership, Functional Communication, Activities of Daily Living, Adaptive Skills, Autism Probability Indices, and Developmental Social Disorders. Pairwise comparisons showed DHH + ASD and H + ASD mean T-scores were statistically similar and distinct from DHH-ASD mean T-scores on all these scales except for Withdrawal, Leadership, Functional Communication, and Activities of Daily Living, where pairwise comparisons varied. The findings add to the literature on ASD and DHH childrenand call for further exploration of the BASC-3 as a tool for both evaluation of ASD and the development of individualized treatment plans in this unique population.

Prevalence and Characteristics of Adolescents with Autism Spectrum Disorder in the New York-New Jersey Metropolitan Area.

Almost all epidemiologic studies estimating autism spectrum disorder (ASD) prevalence have focused on school-age children. This study provides the first population-based data on the prevalence and expression of ASD among adolescents in a large US metropolitan region. Active multiple source ASD surveillance of adolescents aged 16-years was conducted according to the Autism and Developmental Disabilities Monitoring (ADDM) Network method in a four-county New Jersey metropolitan region. Prevalence estimates are provided, characteristics are described and comparison of the distribution and characteristics of ASD is offered for this cohort, at 8 and 16-years. ASD prevalence was 17.7 per 1000 (95% CI: 16.3-19.2)]. One-in-55 males and one in 172 females were identified with ASD. High-SES was positively associated with ASD and White adolescents had higher ASD prevalence (22.2 per 1000) than Hispanic adolescents (13.1 per 1000). One in four study-confirmed individuals with ASD did not have an ASD diagnosis. A majority of ASD adolescents (58.8%) had a co-occurring neuropsychiatric disorder. White and High-SES individuals had greater likelihood of co-occurring disorder. The demographic distribution and functional profile of ASD was similar in this cohort at 8 and 16-years. Approximately one-in-55 adolescents in our area had ASD, in 2014, and one-in-4 16-year-olds with ASD was not diagnosed. A majority (3-in-5) of the adolescents with ASD had a co-occurring neuropsychiatric disorder. ASD under-identification and the high frequency of co-disorders in adolescents with ASD pose significant challenges to care and support.

The enteric metabolite, propionic acid, impairs social behavior and increases anxiety in a rodent ASD model: Examining sex differences and the influence of the estrous cycle

Research suggests that certain gut and dietary factors may worsen behavioral features of autism spectrum disorder (ASD). Treatment with propionic acid (PPA) has been found to create both brain and behavioral responses in rats that are characteristic of ASD in humans. A consistent male bias in human ASD prevalence has been observed, and several sex-differential genetic and hormonal factors have been suggested to contribute to this bias. The majority of PPA studies in relation to ASD focus on male subjects; research examining the effects of PPA in females is scarce. The present study includes two experiments. Experiment 1 explored sex differences in the effects of systemic administration of PPA (500 mg/kg, ip) on adult rodent social behavior and anxiety (light-dark test). Experiment 2 investigated differential effects of systemic administration of PPA (500 mg/kg) on social behavior and anxiety in relation to fluctuating estrogen and progesterone levels during the adult rodent estrous cycle. PPA treatment impaired social behavior and increased anxiety in females to the same degree in comparison to PPA-treated males. As well, females treated with PPA in their diestrus phase did not differ significantly in comparison to females administered PPA in their proestrus phase, in terms of reduced social behavior and increased anxiety.

Characteristics of Autism Spectrum Disorder among a Sample of Egyptian Children

Background Autism spectrum disorder (ASD) is a biologically based neurodevelopmental disorder characterized by impairments in two major domains; deficits in social communication and social interaction and restricted repetitive patterns of behavior, interests and activities. Aim of the Work Understanding and correlating the socioeconomic status (SES), clinical characteristics and the severity of ASD. Patients and Methods 100 autistic patients were assessed using DSM-V criteria, intelligence quotient (IQ) assessment using Stanford Binnet intelligence scale, assessment of severity of autistic symptoms using childhood autism rating scale (CARS), and psychometric evaluation for comorbid psychiatric conditions by using Pediatric Symptoms Checklist (PSCL), Full clinical examination, neurological examination, Electroencephalography (EEG) for some patient & socioeconomic status (SES) assessment were also done. Results Severity of ASD was correlated with each of motor & social delay (p = 0.007) (p = 0.000) respectively, impairment in Sphincter control (p = 0.012), imitation impairment (p = 0.010) and stereotypic behavior (p = 0.015. Our patients had comorbidities in the form of; gastrointestinal tract (GIT) symptoms, eating disorders and EEG findings (p = 0.004) (p = 0.005) (p = 0.038) respectively. Our patients mainly belonged to middle SES (57%) and severity of ASD was correlated with family possessions domain of SES (p = 0.001). Children who belonged to high SES were more likely to be diagnosed earlier (p = 0.016) with better IQ (p = 0.003) than those from lower SES. Conclusion It is important for developing countries to have their own research and to increase public awareness in all socioeconomic strata and establish integrated services for autism.

Risk factors and clinical characteristics of autism spectrum disorder with regression in China.

Autism spectrum disorder with regression (ASD-R) is characterized by the loss of previously acquired skills during the initial year of life. This study aimed to investigate the clinical characteristics, patterns of regression, and potential risk factors associated with ASD-R in the Chinese Han population. A case-control study was conducted between September 2020 and March 2022. A total of 186 children were enrolled, including 58 children with ASD-R, 70 with ASD without regression (ASD-NR), and 58 typically developing children. Demographic information, clinical characteristics, and potential risk factors related to ASD-R were assessed using a combination of questionnaires, interviews, and physician assessments. The results revealed that children with ASD-R exhibited more severe impairments in social communication and stereotyped behaviors compared with those with ASD-NR. Language regression, constituting 40% of cases within the ASD-R group, was found to be the most common type of regression. Furthermore, our analysis revealed that fever (OR = 4.01, 95% CI: 1.26-12.76) and diarrhea (OR = 6.32, 95% CI: 1.38-29.03) were identified as significant risk factors for ASD-R. These findings contribute to our understanding of the heterogeneity of ASD and highlight the importance of considering immune responses and gastrointestinal factors in the etiology of ASD-R.

Early Sleep Differences in Young Infants with Autism Spectrum Disorder.

Children with autism spectrum disorder (ASD) experience greater sleep challenges than their neurotypical peers, but sleep patterns for infants later diagnosed with ASD are unknown. This study examined differences in total sleep duration and proportion of sleep experienced at night within the first 6 months of life among infants later diagnosed with ASD, infants who demonstrated subclinical characteristics of ASD and were classified as exhibiting the broad autism phenotype (BAP), and their typically developing (TD) peers. In addition, associations between infant sleep variables and developmental outcomes at 24 months were explored. Participants included 79 infants enrolled in a prospective, longitudinal study of the early development of ASD. Between ages 1 week and 6 months, participants completed a monthly retrospective 24-hour sleep log. At 24 months, participants received a comprehensive diagnostic evaluation, including the Autism Diagnostic Observation Schedule-2 and Mullen Scales of Early Learning and Vineland-II and were clinically characterized as ASD, BAP, or TD. When accounting for the influence of age, infants later diagnosed with ASD slept less within the 24-hour period than infants in TD or BAP groups from 0 to 6 months ( p = 0.04). Percentage of sleep experienced during nighttime hours did not significantly differ between groups from 0 to 6 months ( p = 0.25). Greater nighttime sleep percentage at 6 months predicted higher receptive language ( p < 0.001) and fine motor scores ( p < 0.0001) at 24 months. Total sleep duration at 6 months did not predict any developmental outcomes at 24 months. Findings suggest that differences in sleep may occur among autistic individuals earlier in life than previously documented and have cascading effects on development.

Atypical cognitive training-induced learning and brain plasticity and their relation to insistence on sameness in children with autism.

Children with autism spectrum disorders (ASDs) often display atypical learning styles; however, little is known regarding learning-related brain plasticity and its relation to clinical phenotypic features. Here, we investigate cognitive learning and neural plasticity using functional brain imaging and a novel numerical problem-solving training protocol. Children with ASD showed comparable learning relative to typically developing children but were less likely to shift from rule-based to memory-based strategy. While learning gains in typically developing children were associated with greater plasticity of neural representations in the medial temporal lobe and intraparietal sulcus, learning in children with ASD was associated with more stable neural representations. Crucially, the relation between learning and plasticity of neural representations was moderated by insistence on sameness, a core phenotypic feature of ASD. Our study uncovers atypical cognitive and neural mechanisms underlying learning in children with ASD, and informs pedagogical strategies for nurturing cognitive abilities in childhood autism.