Autism Research最新文献

Motor delays in children with autism spectrum disorder (ASD) are being increasingly recognized using a brief screening tool, called the Developmental Coordination Disorder-Questionnaire (DCD-Q). Further validation of these motor delays using a more robust normed, developmental measure is clearly warranted. In this analysis, a nationally representative sample from the SPARK study was used wherein parents completed the DCD-Q and a more widely used developmental/adaptive functioning measure, called the Vineland Adaptive Behavior Scales (VABS); which comprises of various developmental domains including the motor domain (N = 2,644 completed the DCD-Q and VABS). Eighty two percent children with ASD had a motor delay based on their DCD-Q scores whereas 77% children with ASD had a motor delay based on their VABS motor domain scores. Approximately 70% children with ASD had concurrent motor delay on the DCD-Q and the VABS (i.e., positive predictive value of DCD-Q). Furthermore, there was 81.2% accuracy in reporting a risk/no risk of motor delay across both measures. Overall, these statistics align with the recent reports on proportions of children with ASD having motor delays. Parents of ~70% children with ASD are reporting motor delays that are corroborated across two different motor measures. This not only validates the motor delays reported based on the DCD-Q but also indicates the need for concurrent motor screening using both DCD-Q and VABS for better detection of motor delays in children with ASD. Only 10%–32% of the current SPARK sample received any physical or recreational therapies. This mismatch between presence of motor delays and the lack of access to motor services highlights the need for more motor intervention referrals for children with ASD.

Several autism-related characteristics, such as social difficulties, may contribute to high perceived stress and increased exposure to stressful life events in some autistic individuals. Repeated exposure to stress might lead to the dysfunction of the hypothalamic–pituitary-adrenocortical-axis and be a vulnerability factor for developing mental health difficulties. Previous studies show contradictory findings on salivary cortisol in autism. In the current study, we investigated diurnal cortisol profiles in autistic adolescents and young adults, as well as their associations with social difficulties, stress exposure, and mental health symptoms. Autistic (n = 48, M_age = 17.6) and nonautistic (n = 51, M_age = 18.4) participants collected salivary cortisol at home six times a day for 2 days. Social difficulties, exposure to stressful life events/bullying, and mental health symptoms were assessed with questionnaires and clinical interviews. Similar diurnal cortisol slopes (DCS) and cortisol awakening responses were observed between the groups, but autistic participants showed higher total cortisol output (AUC_G, area under the curve with respect to ground) during the day (b = 19.09, p = 0.009). In the autistic group, more severe social difficulties were associated with flatter DCS (b = 0.01, p = 0.007). Finally, cortisol alterations were associated with self-reported mental health symptoms, especially in autistic females in analyses uncorrected for multiple comparisons. In conclusion, our results do not indicate autism-related group-level alterations in most diurnal cortisol measures, but autistic youth showed higher total cortisol (AUC_G) compared with nonautistic peers. More detailed investigation of interindividual variability in cortisol profiles within autistic people might give us important insights into vulnerability to developing stress-related mental health difficulties.

Autism sibling recurrence in prospective infant family history studies is ~20% at 3 years but systematic follow-up to mid-childhood is rare. In population and clinical cohorts autism is not recognized in some children until school-age or later. One hundred and fifty-nine infants with an older sibling with autism underwent research diagnostic assessments at 3 years and mid-childhood (6 to 12 years (mean 9)). We report the autism sibling recurrence rate in mid-childhood and compare developmental and behavioral profiles at mid-childhood and 3 years in those with earlier versus later recognized autism, and those who had, or had not, received a community autism diagnosis. The autism recurrence rate in this sample in mid-childhood was 37.1%, 95% CI [29.9%, 44.9%] and higher in boys than girls. Around half of those diagnosed with autism in mid-childhood had not received a diagnosis at 3 years. Later, diagnosis was more common in girls than boys. While some had sub-threshold symptoms at 3, in others late diagnosis followed a largely typical early presentation. Sibling recurrence based on community clinical diagnosis was 24.5%, 95% CI [18.4%, 31.9%]. Those who also had a community diagnosis tended to be older, have lower adaptive function and higher autism and inattention symptoms. Notwithstanding limitations of a single site study, modest sample size and limits to generalisability, autism sibling recurrence in family history infants may be higher in mid-childhood than in studies reporting diagnostic outcome at 3 years. Findings have implications for families and clinical services, and for prospective family history studies.

Individuals with an autism spectrum disorder (ASD) diagnosis show impairment in executive function (EF). However, findings are mixed regarding differences in the age effect on EF between autistic individuals and persons with typical development (TD). Questions remain regarding whether the age-related trajectories of EF in ASD are the same as or different from those in TD. To bridge this knowledge gap, we conducted a systematic review and meta-analyses of longitudinal studies that compared age-related changes in EF between ASD and TD groups (preregistration: osf.io/j5764). A literature search was conducted using PubMed, PsycINFO, and Web of Science on January 29, 2024. After screening by two independent reviewers, 14 longitudinal studies were included. Random-effects meta-analyses of studies involving a maximum total of 518 autistic and 3558 TD children and adolescents (mean baseline ages: 5.7–12.0 years) showed that ASD had significantly poorer EF than TD at both baseline and follow-up. However, there was no significant group difference in the age-related change in EF across domains, including working memory, inhibition, shifting, and planning. Robust Bayesian meta-analyses also provided substantial evidence in favor of the null hypothesis that ASD and TD groups showed similar changes over time for most EF processes. Limitations of the literature included the limited number of longitudinal studies and a narrow range of developmental stages and EF constructs analyzed across studies. Altogether, these findings suggest that autistic children and adolescents generally can improve in EF over time similarly to their neurotypical peers. This has important implications for parents and educators, encouraging appropriate EF training and intervention for autistic children and adolescents at an early stage.

Accumulating evidence suggests that individuals with autism spectrum disorder (ASD) show impairments in using contextual priors to predict others' actions and make intention inference. Yet less is known about whether and how children with ASD acquire contextual priors during action observation and how contextual priors relate to their action prediction and intention inference. To form proper contextual priors, individuals need to observe the social scenes in a reliable manner and focus on socially relevant information. By employing a data-driven scan path method and areas of interest (AOI)-based analysis, the current study investigated how contextual priors would relate to action prediction and intention understanding in 4-to-9-year-old children with ASD (N = 56) and typically developing (TD) children (N = 50) during free viewing of dynamic social scenes with different intentions. Results showed that children with ASD exhibited higher intra-subject variability when scanning social scenes and reduced attention to socially relevant areas. Moreover, children with high-level action prediction and intention understanding showed lower intra-subject variability and increased attention to socially relevant areas. These findings suggest that altered fixation patterns might restrain children with ASD from acquiring proper contextual priors, which has cascading downstream effects on their action prediction and intention understanding.

Children with autism spectrum disorder (ASD) often face challenges in early social communication skills, prompting the need for a detailed exploration of specific behaviors and their impact on cognitive and adaptive functioning. This study aims to address this gap by examining the developmental trajectories of early social communication skills in preschoolers with ASD aged 18–60 months, comparing them to age-matched typically developing (TD) children. Utilizing the early social communication scales (ESCS), the research employs a longitudinal design to capture changes over time. We apply a principal component analysis (PCA) to ESCS variables to identify underlying components, and cluster analysis to identify subgroups based on preverbal communication profiles. The results reveal consistent differences in early social communication skills between ASD and TD children, with ASD children exhibiting reduced skills. PCA identifies two components, distinguishing objects-directed behaviors and social interaction-directed behaviors. Cluster analysis identifies three subgroups of autistic children, each displaying specific communication profiles associated with distinct cognitive and adaptive functioning trajectories. In conclusion, this study provides a nuanced understanding of early social communication development in ASD, emphasizing the importance of low-level behaviors. The identification of subgroups and their unique trajectories contributes to a more comprehensive understanding of ASD heterogeneity. These findings underscore the significance of early diagnosis, focusing on specific behaviors predicting cognitive and adaptive functioning outcomes. The study encourages further research to explore the sequential development of these skills, offering valuable insights for interventions and support strategies.

This study examined the association between prenatal cannabis exposure and autism spectrum disorder (ASD) diagnoses and traits. A total sample of 11,570 children (ages 1–18; 53% male; 25% Hispanic; 60% White) from 34 cohorts of the National Institutes of Health-funded environmental influences on child health outcomes consortium were included in analyses. Results from generalized linear mixed models replicated previous studies showing that associations between prenatal cannabis exposure and ASD traits in children are not significant when controlling for relevant covariates, particularly tobacco exposure. Child biological sex did not moderate the association between prenatal cannabis exposure and ASD. In a large sample and measuring ASD traits continuously, there was no evidence that prenatal cannabis exposure increases the risk for ASD. This work helps to clarify previous mixed findings by addressing concerns about statistical power and ASD measurement.

Securing an accurate autism-spectrum-condition diagnosis, particularly among women, remains challenging for autistic adults. Building upon previous research highlighting the short-story task (SST) as a promising tool for detecting fiction-based mentalizing difficulties in autistic adults, this study expands its scope. We investigated the SST's discriminative capacity across three distinct groups: autistic individuals (n = 32), nonautistic individuals without mental health problems (n = 32), and nonautistic individuals with clinical depression (n = 30). All three groups differed significantly from each other in their SST mentalizing score with the nonautistic group having the highest scores, the nonautistic but depressed group having medium scores and the autistic group showing the lowest scores. Receiver operator curve (ROC) analysis reaffirmed the SST's efficacy as a discriminator. Moreover, a linear regression analysis identified the SST mentalizing score, the SST comprehension score, and the number of books read per month as significant predictors of autism-spectrum-condition diagnosis. These findings bolster the SST's potential as a valuable adjunct in autism diagnostics, highlighting its discriminatory ability across diverse samples.