Preschool predictors of school-age academic achievement in autism spectrum disorder

Assessing the Relationship Between Teacher Inclusive Beliefs, Behaviors, and Competences of Students with Autism Spectrum Disorders

This study examined the associations between teachers' beliefs and behaviors related to inclusive education (IE) and their evaluations of social and academic competences in students with Autism Spectrum Disorder (ASD) - important indicators of IE. Utilizing the Theory of Planned Behavior (TPB), the research investigated how teachers' intentions to implement IE and their supportive practices affected the social and academic competences of students with ASD. The study involved 267 teachers from 78 mainstream secondary schools in Hong Kong. Teachers completed a questionnaire assessing attitudes, subjective norms, perceived behavioral control, and intention to implement IE. Information on teachers' practices supporting students with ASD and their evaluations of social and academic competences of these students was also collected. Structural equation modeling (SEM) was used to analyze the relationships between these variables. Correlation analysis revealed positive and significant associations between teachers' beliefs, inclusive practices, and their evaluations of social and academic competences of students with ASD. SEM indicated that perceived behavioral control significantly and positively influenced the social and academic competences of students with ASD through teachers' inclusive practices. This study highlights the vital role of teachers' control beliefs and inclusive practices in fostering the social and academic competences of students with ASD. By applying the TPB and SEM, the research contributes to understanding how teachers' intentions and behaviors in implementing IE impact students' outcomes. The findings offer practical implications for enhancing inclusive education practices for supporting students with ASD in mainstream schools.

The impact of adverse childhood events on service support and educational outcomes of children who are autistic: A theory-guided analysis using structural equation modeling

Autistic children who have experienced adverse childhood experiences (ACEs) may have barriers to receiving special education or other developmental services-thus, impacting educational outcomes. Our objective was to model such a pathway using the 2016-2021 National Survey of Children's Health datasets. We extracted data for school outcomes, use of special education and autism-related specialty services and sociodemographic characteristics among autistic children within the data. Associations between sociodemographics and ACEs (categorized as 0, 1-3, and 4+) were tested using design-based X2 tests. We then used structural equation modeling to map the quasi-causal pathways. The sample for our analysis included 4717 autistic children-38.94% were aged 6-10 years, 35.73% of children aged 11-14 years, and 25.32% were between 15 and 17 years-with 88.70% living in metropolitan areas. The X2 showed significant relationships between ACEs and age, ethnoracial groups, and urbanicity among others. The SEM showed ACEs were directly associated with poorer school outcomes (β = -0.14 (0.04), p = 0.002) and through their inverse relationship with support services (β = -0.08 (0.04), p = 0.023)- when support services were increased, school outcomes improved (β = 0.62, p < 0.001). Findings suggested ACEs have a significant direct and indirect impact on school outcomes of autistic children, and 10.76% of children who are autistic have experienced four or more ACEs-which were more likely to occur with severe autism symptomatology and in rural areas. Results highlight the need for communities to recognize the potential long-term impact of ACEs on the academic outcomes of autistic children.

Mathematics performance, response time, and enjoyment of eighth-grade autistic students and their general education peers

For autistic students receiving special education services, little is known about their relative strengths, weaknesses, and enjoyment across different math content areas; their overall math interest and persistence are also not well-studied. Using the 2017 eighth-grade National Assessment of Education Progress data, this study finds, relative to general education peers with the same math proficiency level, autistic students scored higher and exhibited faster speed in solving visuospatial problems (e.g. identifying figures), but scored lower on math word problems with complex language or social context. Autistic students reported a higher level of enjoyment in solving math problems related to finding areas of shapes or figures but a lower level of persistence than their non-autistic, general education peers. Our work points out the need to help autistic students overcome their weaknesses in word problems and develop their mathematical persistence.

Overall prognosis of preschool autism spectrum disorder diagnoses

BACKGROUND

Autism spectrum disorder is a neurodevelopmental disorder characterised by social communication difficulties, restricted interests and repetitive behaviours. The clinical pathway for children with a diagnosis of autism spectrum disorder is varied, and current research suggests some children may not continue to meet diagnostic criteria over time.

OBJECTIVES

The primary objective of this review was to synthesise the available evidence on the proportion of preschool children who have a diagnosis of autism spectrum disorder at baseline (diagnosed before six years of age) who continue to meet diagnostic criteria at follow-up one or more years later (up to 19 years of age).

SEARCH METHODS

We searched MEDLINE, Embase, PsycINFO, and eight other databases in October 2017 and ran top-up searches up to July 2021. We also searched reference lists of relevant systematic reviews.

SELECTION CRITERIA

Two review authors independently assessed prospective and retrospective follow-up studies that used the same measure and process within studies to diagnose autism spectrum disorder at baseline and follow-up. Studies were required to have at least one year of follow-up and contain at least 10 participants. Participants were all aged less than six years at baseline assessment and followed up before 19 years of age.

DATA COLLECTION AND ANALYSIS

We extracted data on study characteristics and the proportion of children diagnosed with autism spectrum disorder at baseline and follow-up. We also collected information on change in scores on measures that assess the dimensions of autism spectrum disorder (i.e. social communication and restricted interests and repetitive behaviours). Two review authors independently extracted data on study characteristics and assessed risk of bias using a modified quality in prognosis studies (QUIPS) tool. We conducted a random-effects meta-analysis or narrative synthesis, depending on the type of data available. We also conducted prognostic factor analyses to explore factors that may predict diagnostic outcome.

MAIN RESULTS

In total, 49 studies met our inclusion criteria and 42 of these (11,740 participants) had data that could be extracted. Of the 42 studies, 25 (60%) were conducted in North America, 13 (31%) were conducted in Europe and the UK, and four (10%) in Asia. Most (52%) studies were published before 2014. The mean age of the participants was 3.19 years (range 1.13 to 5.0 years) at baseline and 6.12 years (range 3.0 to 12.14 years) at follow-up. The mean length of follow-up was 2.86 years (range 1.0 to 12.41 years). The majority of the children were boys (81%), and just over half (60%) of the studies primarily included participants with intellectual disability (intelligence quotient < 70). The mean sample size was 272 (range 10 to 8564). Sixty-nine per cent of studies used one diagnostic assessment tool, 24% used two tools and 7% used three or more tools. Diagnosis was decided by a multidisciplinary team in 41% of studies. No data were available for the outcomes of social communication and restricted and repetitive behaviours and interests. Of the 42 studies with available data, we were able to synthesise data from 34 studies (69% of all included studies; n = 11,129) in a meta-analysis. In summary, 92% (95% confidence interval 89% to 95%) of participants continued to meet diagnostic criteria for autism spectrum disorder from baseline to follow-up one or more years later; however, the quality of the evidence was judged as low due to study limitations and inconsistency. The majority of the included studies (95%) were rated at high risk of bias. We were unable to explore the outcomes of change in social communication and restricted and repetitive behaviour and interests between baseline and follow-up as none of the included studies provided separate domain scores at baseline and follow-up. Details on conflict of interest were reported in 24 studies. Funding support was reported by 30 studies, 12 studies omitted details on funding sources and two studies reported no funding support. Declared funding sources were categorised as government, university or non-government organisation or charity groups. We considered it unlikely funding sources would have significantly influenced the outcomes, given the nature of prognosis studies.

AUTHORS' CONCLUSIONS

Overall, we found that nine out of 10 children who were diagnosed with autism spectrum disorder before six years of age continued to meet diagnostic criteria for autism spectrum disorder a year or more later, however the evidence was uncertain. Confidence in the evidence was rated low using GRADE, due to heterogeneity and risk of bias, and there were few studies that included children diagnosed using a current classification system, such as the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) or the eleventh revision of the International Classification of Diseases (ICD-11). Future studies that are well-designed, prospective and specifically assess prognosis of autism spectrum disorder diagnoses are needed. These studies should also include contemporary diagnostic assessment methods across a broad range of participants and investigate a range of relevant prognostic factors.

The relationship between executive function, neurodevelopmental disorder traits, and academic achievement in university students

Difficulties with executive function have often been identified in individuals with various neurodevelopmental disorders such as Autism Spectrum Disorder (ASD), Attention-Deficit Hyperactivity Disorder (ADHD), and Developmental Co-ordination Disorder (DCD). Additionally, in childhood and adolescence, executive functioning is an important predictor of academic achievement. However, less research has explored these relationships in adult students, and those with a high level of neurodevelopmental disorder traits but no clinical diagnosis. Therefore, the current study aimed to assess whether ASD, ADHD, and DCD traits can predict academic achievement in university students, and whether traits of these neurodevelopmental conditions moderate the relationship between executive function and academic achievement. Both neurotypical students and those with a clinical diagnosis of a neurodevelopmental disorder were able to participate, with the majority being neurotypical. Participants completed four self-report questionnaires and provided a measure of academic achievement based on their university assignment results. Traits of ASD, ADHD, and DCD alone did not predict achievement, however, traits of ADHD and DCD significantly moderated the relationship between executive function and academic achievement. ASD traits did not significantly moderate this relationship. Implications and suggestions for future research are also discussed.

Working Memory Training in Youth With Autism, Fragile X, and Intellectual Disability: A Pilot Study

This pilot study sought to identify potential markers of improvement from pre-post treatment in response to computerized working memory (WM) training for youth (ages 8-18) with autism spectrum disorder (ASD) and comorbid intellectual disability (ID) in a single arm, pre-post design. Participants included 26 children with ASD and 18 with comorbid ASD and fragile X syndrome (ASD+FXS). Analyses were adjusted for age and IQ. The ASD group demonstrated greater improvement on WM training relative to the ASD+FXS group. Participants improved on WM and far transfer outcomes, however, there were no significant group differences in improvement except for repetitive behavior. Higher hyperactivity/impulsivity ratings predicted lower performance on visuospatial WM. Findings suggest cognitive training may be beneficial for youth with ASD and ID, warranting further exploration.

Parental Language Input Predicts Neuroscillatory Patterns Associated with Language Development in Toddlers at Risk of Autism

In this study we investigated the impact of parental language input on language development and associated neuroscillatory patterns in toddlers at risk of Autism Spectrum Disorder (ASD). Forty-six mother-toddler dyads at either high (n = 22) or low (n = 24) familial risk of ASD completed a longitudinal, prospective study including free-play, resting electroencephalography, and standardized language assessments. Input quantity/quality at 18 months positively predicted expressive language at 24 months, and relationships were stronger for high-risk toddlers. Moderated mediations revealed that input-language relationships were explained by 24-month frontal and temporal gamma power (30-50 Hz) for high-risk toddlers who would later develop ASD. Results suggest that high-risk toddlers may be cognitively and neurally more sensitive to their language environments, which has implications for early intervention.

The Relationship between Motor Coordination Ability, Cognitive Ability, and Academic Achievement in Japanese Children with Autism Spectrum Disorder and Attention Deficit/Hyperactivity Disorder

Motor coordination abilities are related to cognitive abilities and academic achievement in children with neurodevelopmental disorders. However, the similarities and differences of these relationships in children with autism spectrum disorder (ASD) and attention deficit/hyperactivity disorder (AD/HD) have not been explored. The purpose of this study was to investigate the relationship between motor coordination abilities, cognitive abilities, and academic achievement in Japanese children with ASD and AD/HD. Participants included 20 children with ASD, 20 children with AD/HD, and 20 typically developing children, matched for age and gender. Their motor coordination abilities were assessed with the Movement Assessment Battery for Children-2 (MABC-2). Furthermore, cognitive ability and academic achievement were assessed with the Kauffman Assessment Battery for Children-II (K-ABCII). Results demonstrated that the MABC-2 Total score significantly correlated with the K-ABCII Simultaneous processing, Planning, Total cognitive ability, Writing and Arithmetic scores in children with ASD. However, in children with AD/HD, there was no significant correlation between MABC-2 and K-ABCII subscale scores. The results of this study indicated that the relationship between motor coordination ability, cognitive ability, and academic achievement differs between ASD and AD/HD. This difference might indicate the non-similarity of neurological characteristics and encourage consideration for an approach that accommodates the features of neurodevelopmental disorders in children.

What Ability Can Predict Mathematics Performance in Typically Developing Preschoolers and Those with Autism Spectrum Disorder?

Research evaluating predictors of mathematics ability in preschoolers with autism spectrum disorder (ASD) is scarce and inconclusive. The present study first compared the mathematics ability and cognitive abilities of preschoolers with ASD and age-matched typically developing (TD) peers. Then, we examined the relative contributions of cognitive abilities to the mathematics ability of preschoolers with ASD and TD. The results show that compared to those of their age-matched TD peers, the mathematics and cognitive abilities of preschoolers with ASD were impaired. The predictors of mathematics ability were found to differ among preschoolers with ASD and their age-matched TD peers. For TD preschoolers, the domain-specific approximate number system (ANS) was the key predictor of mathematics ability. For preschoolers with ASD, domain-general working memory (WM) was most important.

Is genetic liability to ADHD and ASD causally linked to educational attainment?

BACKGROUND

The association patterns of attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) with educational attainment (EA) are complex; children with ADHD and ASD are at risk of poor academic outcomes, and parental EA has been associated with risk of ADHD/ASD in the offspring. Little is known on the causal links between ADHD, ASD, EA and the potential contribution of cognitive ability.

METHODS

Using the latest genome-wide association studies (GWAS) summary data on ADHD, ASD and EA, we applied two-sample Mendelian randomization (MR) to assess the effects of genetic liability to ADHD and ASD on EA. Reverse direction analyses were additionally performed. Multivariable MR was performed to estimate any effects independent of cognitive ability.

RESULTS

Genetic liability to ADHD had a negative effect on EA, independently of cognitive ability (MVMRIVW: -1.7 months of education per doubling of genetic liability to ADHD; 95% CI: -2.8 to -0.7), whereas genetic liability to ASD a positive effect (MVMRIVW: 30 days per doubling of the genetic liability to ASD; 95% CI: 2 to 53). Reverse direction analyses suggested that genetic liability to higher EA had an effect on lower risk of ADHD, independently of cognitive ability (MVMRIVWOR: 0.33 per SD increase; 95% CI: 0.26 to 0.43) and increased risk of ASD (MRIVWOR: 1.51 per SD increase; 95% CI: 1.29 to 1.77), which was partly explained by cognitive ability (MVMRIVWOR per SD increase: 1.24; 95%CI: 0.96 to 1.60).

CONCLUSIONS

Genetic liability to ADHD and ASD is likely to affect educational attainment, independently of underlying cognitive ability.

Naturalistic parent-child reading frequency and language development in toddlers with and without autism

BACKGROUND AND AIMS

The efficacy of parent-child reading for supporting language development has been well-established in the neurotypical (NT) literature. For children with autism spectrum disorder, (ASD) who may be at risk for delays in language development, prior research has shown promise for shared book-reading interventions. Yet there has been limited research on naturalistic parent-child reading with autistic children to date. The present study aimed to fill this missing link in the current literature.

METHODS

Fifty-seven autistic toddlers participated at two developmental time points: Time 1 (Mage = 30.4 months) and Time 2 (Mage = 43.8 months). An NT control group (N = 31) was matched on age to a subset of the ASD group (N = 33). We assessed group differences in parent-child reading frequency between age-matched NT and autistic groups. Using a one-year follow-up design, we evaluated the relationship between parent-child reading and autistic children's language development.

RESULTS

Cross-group comparisons revealed that parents of age-matched NT children reported significantly more frequent weekly parent-child reading than parents of autistic toddlers. After a one-year follow-up with the autistic group, within-group analyses revealed that greater frequency of parent-child reading (controlling for maternal education, books in the home, and autism symptom severity) was associated with larger growth in autistic toddlers' receptive and expressive language skills.

CONCLUSIONS AND IMPLICATIONS

These findings have important clinical implications as they emphasize the potential of parent-child reading for supporting autistic children's language development. Findings demonstrate that frequency of parent-child reading is associated with language development over one year. Findings also demonstrate that parents of autistic children engage in less frequent parent-child reading than parents of age-matched NT peers, suggesting these parents may face more barriers to implementing parent-child reading than parents of NT children.

Language and Speech Characteristics in Autism

The aim of this paper is to provide information regarding diversity in speech and language profiles of individuals with Autism Spectrum Disorders (ASD) and try to classify these profiles according to the combination of the communication difficulties. Research findings confirm the existence of heterogeneity of communication challenges in ASD across the lifespan. A lot of children with ASD experience communication challenges and strengths across all language sub-systems including pragmatics, grammar, semantics, syntax, phonology, and morphology in both oral and written language, while some children with autism demonstrate exceptional language abilities incl. linguistic creativity. Communication issues vary on a continuum of severity so that some children may be verbal, whereas others remain non-verbal or minimally-verbal. The diversity of profiles in speech and language development stem from either the presence of comorbid factors, as a core symptom of autistic behavior without comorbidity or both, with the development of complex clinical symptoms. Difficulties with the semantic aspect of language affect the individual's skills in abstract thinking, multiple meanings of words, concept categorization, and so on. Finally, the coexistence of ASD with other communication difficulties such as a Language Disorder, Apraxia of Speech, Speech Sound Disorders or/and other neurodevelopmental disorders raises the need for examining more carefully the emergence of new clinical profiles and clinical markers useful in performing differential diagnosis and different intervention.

Modern Foreign Approaches to the Assessment of Different Linguistic Levels in Children with Autism Spectrum Disorders

<p>The article presents an overview of studies on the problem of speech evaluation in childhood. We analyzed the material based on the model that describes 4 levels of language: phonetics and phonology, morphosyntax, semantics and pragmatics. The article contains the analysis of studies describing each level of language as well as existing approaches to its assessment, and reviews studies on language impairments in children with autism spectrum disorders. Additionally, the article contains a detailed analysis of existing foreign and Russian standardized methods for assessing speech development, showing which level of language organization (among each of the mentioned above methods) allows us to assess. It also describes the assessment procedures and evaluation. The review systematizes the available data on the approaches to atypical speech development in children with autism spectrum disorders.</p>

Brief Report: Predictors of Teacher-Rated Academic Competence in a Clinic Sample of Children With and Without Autism Spectrum Disorder

The rising prevalence of autism spectrum disorder (ASD) necessitates a greater understanding of the academic experience of diagnosed children. The present study investigates several predictors of teacher-reported academic competence among a sample of elementary school children. All children in the sample were referred for an ASD evaluation and approximately half received a diagnosis. Children with and without ASD did not differ on overall academic competence, social skills, or problem behaviors. Regression analyses indicated that cognitive ability, social skills, and problem behaviors accounted for significant variance in academic competence. Moderation analyses indicated that the relations between the predictors and academic competence were comparable for children with and without ASD. Implications and future directions are discussed.

Preliminary psychometric properties of the Autism Classification System of Functioning: Social Communication (ACSF: SC) in Farsi speaking children

BACKGROUND

Autism Classification System of Functioning: Social Communication (ACSF: SC) assesses typical performance and capacity of communication. Farsi version of ACSF: SC was developed and its psychometric properties investigated.

MATERIAL AND METHODS

The English version of ACSF: SC was translated into Farsi and cultural adaptation was completed. The content validity of the adapted version was evaluated by experts and parents. The back-translated version was approved by www.canchild.ca. Therapists and parents assessed face validity. Correlation between ACSF: SC and the Children's Communication Checklist (CCC) was analyzed to determine concurrent validity. For inter-rater reliability, 5 speech and language pathologists, 5 occupational therapists, and 35 parents participated to assess the communication level of 35 autistic children aged 3-6. The test-retest reliability was performed at the interval of 14 days.

RESULT

The results of analyses for typical performance and capacity showed the communication levels of children in ACSF: CS were directly related to subscales of CCC including inappropriate initiation (r ≥ 0.46) and stereotypical conversation (r ≥ 0.45). The weighted kappa inter-rater reliability ranged from good (0.54) to excellent (0.77); and the test-retest reliability varied from good (0.63) to excellent (0.85).

CONCLUSION

Adapted version of ACSF: CS is able to estimate the communication function of Farsi- speaking autism spectrum disorder children.

Capturing cognitive and behavioral variability among individuals with Down syndrome: a latent profile analysis

BACKGROUND

There is a high degree of inter- and intra-individual variability observed within the phenotype of Down syndrome. The Down Syndrome Cognition Project was formed to capture this variability by developing a large nationwide database of cognitive, behavioral, health, and genetic information on individuals with Down syndrome, ages 6-25 years. The current study used the Down Syndrome Cognition Project database to characterize cognitive and behavioral variability among individuals with Down syndrome.

METHODS

Latent profile analysis was used to identify classes across a sample of 314 participants based on their cognition (IQ and executive functioning), adaptive and maladaptive behavior, and autism spectrum disorder symptomatology. A multivariate multinomial regression model simultaneously examined demographic correlates of class.

RESULTS

Results supported a 3-class model. Each class demonstrated a unique profile across the subdomains of cognition and behavior. The "normative" class was the largest (n = 153, 48%) and displayed a relatively consistent profile of cognition and adaptive behavior, with low rates of maladaptive behavior and autism symptomatology. The "cognitive" class (n = 109, 35%) displayed low cognitive scores and adaptive behavior and more autism symptomatology, but with low rates of maladaptive behavior. The "behavioral" class, the smallest group (n = 52, 17%), demonstrated higher rates of maladaptive behavior and autism symptomatology, but with cognition levels similar to the "normative" class; their adaptive behavior scores fell in between the other two classes. Household income and sex were the only demographic variables to differ among classes.

CONCLUSIONS

These findings highlight the importance of subtyping the cognitive and behavioral phenotype among individuals with Down syndrome to identify more homogeneous classes for future intervention and etiologic studies. Results also demonstrate the feasibility of using latent profile analysis to distinguish subtypes in this population. Limitations and future directions are discussed.

Building Meaning: Meta-analysis of Component Skills Supporting Reading Comprehension in Children with Autism Spectrum Disorder

The ability to understand what one reads, or reading comprehension, is central to academic success. For many children with autism spectrum disorder (ASD), reading comprehension is a noted area of challenge. For children with typical development, it is well established that successful reading comprehension requires two broad skills: word reading and oral language. For children with ASD, word reading is often believed to be relatively intact, even in the face of poor reading comprehension, suggesting that deficits in oral language, more than in word reading, underlie reading comprehension deficits. Yet, extant research has suggested the importance of both skills. To clarify the role of these skills in the reading comprehension of children with ASD, we conducted a meta-analysis. ERIC, PsycINFO, PubMed, and Proquest Dissertation & Theses were searched for studies of reading comprehension in children with ASD, published up to May 2019. We identified 26 relevant studies about children with ASD (aged 6-18 years) that included both a measure of word reading and reading comprehension. Hunt-Schmidt Random Effects Models showed similar mean correlations between reading comprehension and the component skills of word reading (M r = 0.65 [0.27-1.03]) and oral language (M r = 0.61 [0.33-0.88]). These findings demonstrate that these skills are essential for reading comprehension in children with ASD, making contributions of similar size. This study advances our understanding of the mechanisms by which children with ASD understand what they read, providing a foundation on which to build programmatic research into each of these mechanisms. LAY SUMMARY: Academic progress is closely tied to children's ability to understand what they read. Yet reading comprehension is difficult for many children with autism spectrum disorder (ASD). We used a statistical method to summarize existing research on the skills that children with ASD use to understand what they read. We found that the reading comprehension of children with ASD was related to a similar extent to both their ability to read individual words and their oral language skills. These findings suggest that both areas should be assessed in order to determine appropriate interventions to support reading comprehension for children with ASD. Autism Res 2021, 14: 840-858. © 2021 International Society for Autism Research, Wiley Periodicals LLC.

Maternal Mental Health and Parenting Stress and Their Relationships to Characteristics of the Child With Fragile X Syndrome

Although previous research supports the notion that characteristics of both the child and the mother impact maternal well-being and parenting stress in mothers of children with FXS, more work is needed in which self-report measures are supplemented by physiological measures of stress and well-being. The inclusion of physiological measures, such as heart rate variability (HRV), may provide a window into the biological origins and consequences of maternal perceptions of their experiences, including the challenges of raising a child with developmental challenges. The proposed project, therefore, involved the collection of multimodal assessment data from mothers and their school-aged children with FXS. Further, given the importance of understanding how mothers of youth with FXS are faring in their everyday environment, the present study collected all data using telehealth procedures and wearable technology. Participants were 20 biological mothers and their children with FXS between the ages of 6 and 11 years. We measured maternal mental health and parenting stress through self-report as well as through HRV as a more objective measure of psychological well-being. We also examined the associations between these variables and child characteristics such as externalizing and internalizing behaviors as well as autism symptomatology. We found significant support for an elevated rate of depressive symptoms in the sample of mothers (35%) and some potential indicators for heightened rates of anxiety (15%) when compared to normed samples and rates in the general population. We also found that the mothers presented with an atypical HRV profile akin to those experiencing depression or chronic stress, although limitations of the present measure suggest the need for additional confirmatory research. Further, we found that child externalizing behaviors were the primary correlates of maternal well-being. These findings contribute to the growing body of literature regarding the unique challenges faced by these mother-child dyads and supports the importance of increasing the availability of services available to these mothers, not only for meeting the needs of their children's development and behavior, but in supporting their own well-being as well.

Educating Students with Autism Spectrum Disorders: Is Teacher Certification Area Associated with Academic Outcomes?

Although typically taught by special educators, few studies have examined if certification area is associated with academic outcomes for students with autism spectrum disorders (ASDs). The purpose of this study was to determine whether students with ASD scored better on language arts and mathematics state assessments depending on teacher certification, and whether these associations varied by assessment type. We analyzed 3 years of state administrative data from students with ASD in grades 4-8 receiving special education services. Results showed students taking the regular or alternate assessment had similar academic outcomes regardless of teacher certification. Students who were taught by special education certified teachers and took the modified assessment had lower academic outcomes. Implications for practice, policy, and research are discussed.

The Son-Rise Programme: an intervention to improve social interaction in children with autism spectrum disorder

Background/aims

Communication problems are a core feature of autism spectrum disorder. These problems usually lead to challenges in social interactions. The aim of this study was to assess the effectiveness of the Son-Rise Programme on improving social interaction and communication in children with autism spectrum disorder.

Methods

Thirty children with autism spectrum disorder (aged 4–6) were involved in this study. The children were assigned randomly to one two groups, either the 1-week intensive Son-Rise Programme or the control group. They were evaluated using the Gilliam Autism Rating Scale before and after the study.

Results

The participants in the group of the Son-Rise Programme showed a significant improvement in their social interaction skills compared to the control group (P=0.001).

Conclusions

The Son-Rise Programme could improve social interaction in children with autism spectrum disorder.

Advantage in Character Recognition Among Chinese Preschool Children with Autism Spectrum Disorder

This study examined Chinese character recognition and its cognitive and linguistic correlates in preschool children with autism spectrum disorder (ASD). Forty-seven children with ASD and 51 IQ-matched typically developing (TD) children were tested on Chinese character recognition, rapid automatized naming, inhibitory control, digit span, IQ, vocabulary, phonological awareness, morphological awareness, and listening comprehension. Chinese children with ASD showed strong character recognition skills. Unlike TD children's character recognition, which was correlated with all the measured cognitive and linguistic skills, character recognition of children with ASD was only significantly correlated with rapid automatized naming, inhibitory control, and phonological awareness. Our findings suggest that phonological awareness and rapid automatized naming may serve as important predictors for possible advantage in emergent literacy acquisition in Chinese children with ASD.

Use of longitudinal EEG measures in estimating language development in infants with and without familial risk for autism spectrum disorder

Language development in children with autism spectrum disorder (ASD) varies greatly among affected individuals and is a strong predictor of later outcomes. Younger siblings of children with ASD have increased risk of ASD, but also language delay. Identifying neural markers of language outcomes in infant siblings could facilitate earlier intervention and improved outcomes. This study aimed to determine whether EEG measures from the first 2-years of life can explain heterogeneity in language development in children at low- and high-risk for ASD, and to determine whether associations between EEG measures and language development are different depending on ASD risk status or later ASD diagnosis. In this prospective longitudinal study EEG measures collected between 3-24 months were used in a multivariate linear regression model to estimate participants' 24-month language development. Individual baseline longitudinal EEG measures included (1) the slope of EEG power across 3-12 months or 3-24 months of life for 6 canonical frequency bands, (2) estimated EEG power at age 6-months for the same frequency bands, and (3) terms representing the interaction between ASD risk status and EEG power measures. Modeled 24-month language scores using EEG data from either the first 2-years (Pearson R = 0.70, 95% CI 0.595-0.783, P=1x10^-18) or the first year of life (Pearson R=0.66, 95% CI 0.540-0.761, P=2.5x10^-14) were highly correlated with observed scores. All models included significant interaction effects of risk on EEG measures, suggesting that EEG-language associations are different depending on risk status, and that different brain mechanisms effect language development in low-versus high-risk infants.

Utilizing Peers to Support Academic Learning for Children With Autism Spectrum Disorder

The inclusion of students with autism spectrum disorder in academic settings is becoming more common. However, most practices focus on increasing social skills even though students also struggle in academic areas. There is a need for strategies that address both social and academic skill deficits, are evidence based, and are easy to implement in the classroom. Peer-mediated interventions have evidence supporting their use in promoting social and academic behavior change and are socially valid and cost-effective. The purpose of this paper is to present examples of how to implement 2 common peer-tutoring strategies: Classwide Peer Tutoring and Peer-Assisted Learning Strategies. Examples for implementing both strategies are provided using a hypothetical student in a general education setting, followed by a brief summary of evidence supporting the peer-mediated academic instruction.

Reduced frontal gamma power at 24 months is associated with better expressive language in toddlers at risk for autism

Frontal gamma power has been associated with early language development in typically developing toddlers, and gamma band abnormalities have been observed in individuals with autism spectrum disorder (ASD), as well as high-risk infant siblings (those having an older sibling with ASD), as early as 6 months of age. The current study investigated differences in baseline frontal gamma power and its association with language development in toddlers at high versus low familial risk for autism. Electroencephalography recordings as well as cognitive and behavioral assessments were acquired at 24 months as part of prospective, longitudinal study of infant siblings of children with and without autism. Diagnosis of autism was determined at 24-36 months, and data were analyzed across three outcome groups-low-risk without ASD (n = 43), high-risk without ASD (n = 42), and high-risk with ASD (n = 16). High-risk toddlers without ASD had reduced baseline frontal gamma power (30-50 Hz) compared to low-risk toddlers. Among high-risk toddlers increased frontal gamma was only marginally associated with ASD diagnosis (P = 0.06), but significantly associated with reduced expressive language ability (P = 0.007). No association between gamma power and language was present in the low-risk group. These findings suggest that differences in gamma oscillations in high-risk toddlers may represent compensatory mechanisms associated with improved developmental outcomes. Autism Res 2019, 12: 1211-1224. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This study looked at differences in neural activity in the gamma range and its association with language in toddlers with and without increased risk for ASD. At 2 years of age, gamma power was lower in high-risk toddlers without ASD compared to a low-risk comparison group. Among high-risk toddlers both with and without later ASD, reduced gamma power was also associated with better language outcomes, suggesting that gamma power may be a marker of language development in high-risk children.

Current profiles and early predictors of reading skills in school-age children with autism spectrum disorders: A longitudinal, retrospective population study

This study explores current reading profiles and concurrent and early predictors of reading in children with autism spectrum disorder. Before the age of 3 years, the study cohort underwent a neurodevelopmental assessment following identification in a population-based autism screening. At age 8 years, reading, language and cognition were assessed. Approximately half of the sample ( n = 25) were ‘poor readers’ at age 8 years, meaning that they scored below the normal range on tests of single word reading and reading comprehension. And 18 were ‘skilled readers’ performing above cut-offs. The final subgroup ( n = 10) presented with a ‘hyperlexic/poor comprehenders’ profile of normal word reading, but poor reading comprehension. The ‘poor readers’ scored low on all assessments, as well as showing more severe autistic behaviours than ‘skilled readers’. Group differences between ‘skilled readers’ and ‘hyperlexics/poor comprehenders’ were more subtle: these subgroups did not differ on autistic severity, phonological processing or non-verbal intelligence quotient, but the ‘hyperlexics/poor comprehenders’ scored significantly lower on tests of oral language. When data from age 3 were considered, no differences were seen between the subgroups in social skills, autistic severity or intelligence quotient. Importantly, however, it was possible to identify oral language weaknesses in those that 5 years later presented as ‘poor readers’ or ‘hyperlexics’.

Adaptive behavior in infants and toddlers with Down syndrome and fragile X syndrome

Individuals with Down syndrome (DS) experience deficits across all domains of adaptive functioning, however little is known about the emergence and age-related changes of these impairments compared to other neurogenetic disorders with similar intellectual disability impairments, such as fragile X syndrome (FXS). Adaptive behavior is key for optimal functioning in these populations. Participants aged 5-45 months comprised three age-matched groups, DS (n = 64), FXS (n = 69), and typically developing controls (TD; n = 69). Adaptive behavior was measured on the Vineland Adaptive Behavior Scales-II. Regressions were used to examine adaptive behavior in a cross-sectional design across age. DS infants and toddlers evidenced deficits across all areas of adaptive behaviors compared to the age-matched TD group, with clear impairments present in the first year of life. Motor skills were the area of greatest weakness in children with DS with significant impairment evident at 12 months of age that remained low through 3 years. Compared to age-matched children with FXS, children with DS showed initially lower standard scores at 12 months of age, but slower declines in standard scores across age, resulting in less impaired functioning at 36 months. This is the first study to compare adaptive behavior in infants and toddlers with DS to FXS, and demonstrate the phenotypic specificity of adaptive profiles in this diagnostic group. These findings provide evidence that adaptive behavior should be a major target of intervention in children with FXS and DS, and that these differences are potentially driven by unique etiologies attributable to each disorder.