Autism research : official journal of the International Society for Autism Research最新文献

Autistic children frequently have one or more co-occurring psychological, behavioral, or medical conditions. We examined relationships between child behaviors, sleep, adaptive behavior, autistic traits, mental health conditions, and health in autistic children using network analysis. Network analysis is hypothesis generating and can inform our understanding of relationships between multiple conditions and behaviors, directing the development of transdiagnostic treatments for co-occurring conditions. Participants were two child cohorts from the Autism Treatment Network registry: ages 2-5 years (n = 2372) and 6-17 years (n = 1553). Least absolute-shrinkage and selection operator (LASSO) regularized partial correlation network analysis was performed in the 2-5 years cohort (35 items) and the 6-17 years cohort (36 items). The Spinglass algorithm determined communities within each network. Two-step expected influence (EI2) determined the importance of network variables. The most influential network items were sleep difficulties (2 items) and aggressive behaviors for young children and aggressive behaviors, social problems, and anxious/depressed behavior for older children. Five communities were found for younger children and seven for older children. Of the top three most important bridge variables, night-waking/parasomnias and anxious/depressed behavior were in both age-groups, and somatic complaints and sleep initiation/duration were in younger and older cohorts respectively. Despite cohort differences, sleep disturbances were prominent in all networks, indicating they are a transdiagnostic feature across many clinical conditions, and thus a target for intervention and monitoring. Aggressive behavior was influential in the partial correlation networks, indicating a potential red flag for clinical monitoring. Other items of strong network importance may also be intervention targets or screening flags.

The current study aimed to investigate whether the use of formal language (Modern Standard Arabic [MSA]) by young children in diglossic Arab communities offers diagnostic insights, especially for verbal autistic children and to further explore this phenomenon. We used a cohort study design, with 4-6-year-old fluent first language Arabic-speaking children attending Arabic Kindergartens in two representative Kuwait governates. Reported cases for MSA use were assessed via a computer-based structured language test and corroborated cases were further assessed for exposure to sources of MSA, verbal IQ, temperamental characteristics, and autism spectrum disorder (ASD). Four children from the same class without developmental difficulties were selected for each MSA user as control group. The frequency of MSA use among verbal pre-schoolers was 0.46%. Use of MSA did not correlate with parents' education, amount of exposure to MSA, verbal IQ, but with severity of ASD. Predicted probability of ASD in the presence of MSA was 0.86. Executive functions of ASD-MSA users were similar to those of the control group and significantly higher than unselected autistic peers in the literature. The use of MSA has the potential to serve as a strong sign for the diagnosis of verbal autistic children, often missed or delayed in being diagnosed. We also discuss strategies via which language is acquired in ASD.

The relatively few conditions and family member types (e.g., sibling, parent) considered in investigations of family health history in autism spectrum disorder (ASD, or autism) limits understanding of the role of family history in autism etiology. For more comprehensive understanding and hypothesis-generation, we produced an open-source catalog of autism associations with family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions. All live births in Denmark, 1980-2012, of Denmark-born parents (1,697,231 births), and their 3-generation family members were followed through April 10, 2017 for each of 90 diagnoses (including autism), emigration or death. Adjusted hazard ratios (aHR) were estimated via Cox regression for each diagnosis-family member type combination, adjusting for birth year, sex, birth weight, gestational age, parental ages at birth, and number of family member types of index person; aHRs also calculated for sex-specific co-occurrence of each disorder. We obtained 6462 individual family history aHRS across autism overall (26,840 autistic persons; 1.6% of births), by sex, and considering intellectual disability (ID); and 350 individual co-occurrence aHRS. Results are cataloged in interactive heat maps and down-loadable data files: https://ncrr-au.shinyapps.io/asd-riskatlas/ and interactive graphic summaries: https://public.tableau.com/app/profile/diana.schendel/viz/ASDPlots_16918786403110/e-Figure5. While primarily for reference material or use in other studies (e.g., meta-analyses), results revealed considerable breadth and variation in magnitude of familial health history associations with autism by type of condition, family member type, sex of the family member, side of the family, sex of the index person, and ID status, indicative of diverse genetic, familial, and nongenetic autism etiologic pathways. Careful attention to sources of autism likelihood in family health history, aided by our open data resource, may accelerate understanding of factors underlying neurodiversity.

Autistic individuals exhibit differences in their use and understanding of nonverbal communication; however, individual patterns of nonverbal strengths and challenges vary significantly. This heterogeneity can complicate the diagnostic and screening processes and can result in delayed or missed diagnoses. In this study, we characterize various profiles of nonverbal communication skills among 215 pre-verbal children with autism (M_age = 36.27 months, range = 18-70) and explore how these profiles are related to screening outcomes, diagnostic certainty, and developmental and behavioral features. We conducted a latent class analysis of nine items assessing nonverbal communication skills from the Toddler Module and Module 1 of the Autism Diagnostic Observation Schedule, 2nd Edition. Five nonverbal profiles were identified that differentiated children based on the form, function, and frequency of their nonverbal communication skills. Furthermore, screening outcomes and clinician certainty in autism diagnosis varied by nonverbal profile. False negative screening outcomes based on parent report were highest for children who used a range of nonverbal skills but with limited frequency or consistency. Clinicians, on the other hand, tended to have high certainty in an autism diagnosis for children with this profile, and instead rated their lowest certainty in diagnosing children who demonstrated consistent integration of eye contact with their nonverbal communication. The profiles identified in this study could be clinically useful in helping to identify children at highest likelihood of being overlooked during the screening or diagnostic processes, providing an opportunity to improve early identification and intervention for autism.

Parent-mediated, naturalistic developmental behavioral interventions (NDBIs) are a promising approach for supporting social communication development in young autistic children. This study examined the effect of telehealth delivery of a parent-mediated NDBI, Project ImPACT, on children's expressive language ability using a randomized control trial with intent-to-treat analysis. Sixty-four young autistic children and their primary caregiver were matched on age and developmental quotient and randomly assigned to receive 6 months of therapist-assisted Project ImPACT (i.e., telehealth coaching), self-directed Project ImPACT, or an active control. Parent-child interactions were recorded at intake and immediately post-treatment, and the children's expressive language skills were assessed at intake and a 9-month follow-up using standardized measures. Although there was no total effect of treatment group assignment on child outcomes, a serial mediation analysis revealed that therapist-assisted ImPACT had an indirect effect on children's expressive language ability at follow-up through their parents' use of the intervention strategies and their intentional communication immediately post-treatment. Findings support Project ImPACT's program theory and highlight the importance of coaching in achieving positive outcomes when delivered via telehealth.

Transitive inference (TI) has a long history in the study of human development. There have, however, few pediatric studies that report clinical diagnoses have tested trial-and-error TI learning, in which participants infer item relations, rather than evaluate them explicitly from verbal descriptions. Children aged 8-10 underwent a battery of clinical assessments and received a range of diagnoses, potentially including autism spectrum disorder (ASD), attention-deficit hyperactive disorder (ADHD), anxiety disorders (AD), specific learning disorders (SLD), and/or communication disorders (CD). Participants also performed a trial-and-error learning task that tested for TI. Response accuracy and reaction time were assessed using a statistical model that controlled for diagnostic comorbidity at the group level. Participants in all diagnostic categories showed evidence of TI. However, a model comparison analysis suggested that those diagnosed with ASD succeeded in a qualitatively different way, responding more slowly to each choice and improving faster across trials than their non-ASD counterparts. Additionally, TI performance was not associated with IQ. Overall, our data suggest that superficially similar performance levels between ASD and non-ASD participants may have resulted from a difference in the speed-accuracy tradeoff made by each group. Our work provides a preliminary profile of the impact of various clinical diagnoses on TI performance in young children. Of these, an ASD diagnosis resulted in the largest difference in task strategy.

Cognitive markers may in theory be more sensitive to the effects of intervention than overt behavioral measures. The current study tests the impact of the Intervention with the British Autism Study of Infant Siblings-Video Interaction for Promoting Positive Parenting (iBASIS-VIPP) on an eye-tracking measure of social attention: dwell time to the referred object in a gaze following task. The original two-site, two-arm, assessor-blinded randomized controlled trial (RCT) of this intervention to increase parental awareness, and responsiveness to their infant, was run with infants who have an elevated familial likelihood for autism (EL). Fifty-four EL infants (28 iBASIS-VIPP intervention, 26 no intervention) were enrolled, and the intervention took place between 9 months (baseline) and 15 months (endpoint), with gaze following behavior measured at 15 months. Secondary intention to treat (ITT) analysis showed that the intervention was associated with significantly reduced dwell time to the referent of another person's gaze (β = -0.32, SE = 0.14, p = 0.03) at 15-month treatment endpoint. Given the established link between gaze following and language, the results are considered in the context of a previously reported, non-significant and transient trend toward lower language scores at the treatment endpoint (Green et al. (2015) The Lancet Psychiatry, 2(2), 133-140). Future intervention trials should aim to include experimental cognitive measures, alongside behavioral measures, to investigate mechanisms associated with intervention effects.

Almost all autistic youths have special interests (SIs), which are focused, intense areas of passion and interest in a particular topic. Emerging research suggests that there are gender differences in SIs among autistic youth; however, commonly used measures that assess for the presence of SIs may not fully capture the granular nature of those differences between autistic boys and girls. Characterizing these differences is important for autism identification in girls, as SIs in autistic girls may often be overlooked by caregivers, teachers, and clinicians due to their more "typical" and more socially oriented content areas compared to autistic boys. This study therefore aimed to more fully characterize gender differences in SIs using a newly developed caregiver-report measure of SIs (the Special Interests Survey; SIS). Caregivers of 1921 autistic youth completed the SIS. Analyses revealed many similarities between boys and girls; there were no gender differences in mean age SI onset, caregivers' perceptions of uniqueness or interferences of endorsed SIs, or duration of previous SIs. There were gender differences in endorsement of less than half (39%) of the SI categories measured, and there were minor differences in the number of endorsed current and past SIs. Categories with significant gender differences fell along typical gender lines (e.g., more boys interested in math and construction, more girls interested in animals and arts/crafts). This study extends the growing literature on SIs and gender differences in autism and has important implications for supporting autistic youth and their families.

Challenges in social functioning are considered a core criterion for diagnosing autism. Although motor skills, executive functioning (EF), and theory of mind (ToM) abilities independently affect social challenges and are interconnected, these abilities' shared contribution to the explanation of social functioning in autism remains under-investigated. To address this disparity, we examined the motor, EF, and ToM abilities of 148 autistic and non-autistic youth (ages 6-16 years), evaluating these variables' impact on social ability and their interconnections. Our mediation model exploring the contribution of motor, EF, and ToM skills explained 85% of the variance in social functioning (Social Responsiveness Scale-SRS-2). Analysis yielded a direct path from study group to SRS-2-social (typically developing-TD > autistic) and two main parallel indirect joint paths: (a) Group ➔ motor ➔ EF ➔ SRS-2-social; and (b) Group ➔ motor ➔ ToM ➔ SRS-2-social. In two secondary indirect paths, autistic children showed lower motor skills, which in turn explained their higher EF and/or ToM impairment, which in turn explained their higher social skills impairment. Put differently, our results suggest that better EF and TOM proficiency may compensate for poorer motor skills. Findings also indicated that the collective impact of motor, EF, and ToM skills on social functioning, along with the mediating role played by EF and ToM on the social-motor linkage, may contribute to understanding individual differences in the social functioning of autistic children. These conclusions call for the inclusion of motor, EF, and ToM activities into daily practices to facilitate social functioning.

Domain-general prediction differences have been posited as underlying many aspects of the cognitive-behavioral profile in autism. An interesting potential implication of such differences is hyperplasticity of learning-the idea that autistic individuals may privilege more recent input over the accumulation of prior learning. Because real world language input is highly variable, hyperplasticity could have serious ramifications for language learning. To investigate potential hyperplasticity during a language processing task, we administered an experimental anticipatory eye movement (AEM) task to 2- to 3-year-old autistic children and neurotypical (NT) peers. Autistic children's change in anticipation from before to after a switch in contingencies did not significantly differ from NT counterparts, failing to support claims of hyperplasticity in the linguistic domain. Analysis of individual differences among autistic children revealed that cognitive ability was associated with prediction of the initial, stable contingencies, but neither age nor receptive language related to task performance. Results are discussed in terms of clinical implications and the broader context of research investigating prediction differences in autism.