Racial and ethnic disparities in the co-occurrence of intellectual disability and autism: Impact of incorporating measures of adaptive functioning.

Intellectual disability (ID) commonly co-occurs in children with autism. Although diagnostic criteria for ID require impairments in both cognitive and adaptive functioning, most population-based estimates of the frequency of co-occurring ID in children with autism-including studies of racial and ethnic disparities in co-occurring autism and ID-base the definition of ID solely on cognitive scores. The goal of this analysis was to examine the effect of including both cognitive and adaptive behavior criteria on estimates of co-occurring ID in a well-characterized sample of 2- to 5-year-old children with autism. Participants included 3264 children with research or community diagnoses of autism enrolled in the population-based Study to Explore Early Development (SEED) phases 1-3. Based only on Mullen Scales of Early Learning (MSEL) composite cognitive scores, 62.9% (95% confidence interval [CI]: 61.1, 64.7%) of children with autism were estimated to have co-occurring ID. After incorporating Vineland Adaptive Behavior Scales, Second Edition (VABS-II) composite or domains criteria, co-occurring ID estimates were reduced to 38.0% (95% CI: 36.2, 39.8%) and 45.0% (95% CI: 43.1, 46.9%), respectively. The increased odds of meeting ID criteria observed for non-Hispanic (NH) Black and Hispanic children relative to NH White children when only MSEL criteria were used were substantially reduced, though not eliminated, after incorporating VABS-II criteria and adjusting for selected socioeconomic variables. This study provides evidence for the importance of considering adaptive behavior as well as socioeconomic disadvantage when describing racial and ethnic disparities in co-occurring ID in epidemiologic studies of autism.

Spatial Language and Cognition in Autistic Preschoolers.

PURPOSE: ASD is associated with relative strengths in the visuospatial domain but varying abilities in the linguistic domain. Previous studies suggest parallels between spatial language and spatial cognition in older autistic individuals, but no research to date has examined this relationship in young autistic children. Therefore, the purpose of the present study was to investigate the connection between children's spatial language production and nonverbal spatial cognition over time. We also examined two potential predictors of spatial language observed in previous literature, ASD symptom severity and parent spatial language input. METHODS: In past work investigating spatial language in NT children of the same age, parent-child interactions have been a primary context for study. Therefore, in the present study, we analyzed transcripts of dyadic naturalistic play interactions between autistic children and their parents over three visits from age 30 to 66 months and administered standardized cognitive and ASD diagnostic assessments at each visit. RESULTS: Spatial language production was related to nonverbal spatial cognition even when accounting for overall language production, though the strength of that relationship decreased over time. Parent spatial input (but not ASD severity) significantly predicted children's spatial language production over and above the effect of overall language production. CONCLUSION: Spatial language is associated with spatial cognition in young autistic children and appears to reflect the interaction of overall linguistic skills and nonverbal spatial cognitive ability regardless of autism severity. Parent-mediated interventions may be a promising context for increasing spatial language in autistic preschoolers.

Using adaptive behavior scores to convey level of functioning in children with autism spectrum disorder: Evidence from the Study to Explore Early Development.

LAY ABSTRACT: Autistic people are often described as "low-" or "high-functioning" based on their scores on cognitive tests. These terms are common in publications and in everyday communication. However, recent research and feedback from the autistic community suggests that relying on cognitive ability alone to describe functioning may miss meaningful differences in the abilities of autistic children and adults and in the kinds of support they may need. Additional methods are needed to describe "functioning" in autistic children. We examined whether scores from a test measuring adaptive behaviors would provide information on the functional abilities of children with autism that is different from cognitive ability and autism symptom severity. Adaptive behaviors include age-appropriate skills that allow people to function in their everyday lives and social interactions. We found that a large amount of the variation in adaptive behavior scores was not explained by cognitive development, autism symptom severity, and behavioral and emotional problems. In addition, there was a wide range of adaptive ability levels in children with autism in our study, including in those with low, average, or high cognitive scores. Our results suggest that adaptive behavior scores could provide useful information about the strengths and support needs of autistic children above and beyond measures of cognitive ability and autism symptom severity. Adaptive behavior scores provide important information on the needs of autistic people.

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.

Differences in Prediction May Underlie Language Disorder in Autism.

Language delay is often one of the first concerns of parents of toddlers with autism spectrum disorder (ASD), and early language abilities predict broader outcomes for children on the autism spectrum. Yet, mechanisms underlying language deficits in autistic children remain underspecified. One prominent component of linguistic behavior is the use of predictions or expectations during learning and processing. Several researcher teams have posited prediction deficit accounts of ASD. The basic assumption of the prediction accounts is that information is processed by making predictions and testing violations against expectations (prediction errors). Flexible (neurotypical) brains attribute differential weights to prediction errors to determine when new learning is appropriate, while autistic individuals are thought to assign disproportionate weight to prediction errors. According to some views, these prediction deficits are hypothesized to lead to higher levels of perceived novelty, resulting in "hyperplasticity" of learning based on the most recent input. In this article, we adopt the perspective that it would be useful to investigate whether language deficits in children with ASD can be attributed to atypical domain-general prediction processes.

Are items actively removed from working memory during free time in children with developmental language disorder?

BACKGROUND: Children with developmental language disorder (DLD) have deficits in verbal and non-verbal processing relative to typically developing (TD) peers, potentially reflecting difficulties in working memory, processing speed and inhibition of interference. We examined working memory in children with DLD using the serial-order-in-a-box-complex span (SOB-CS) interference-based model, which posits a time-based mechanism, free time, that governs how interference affects processing performance. AIMS: (1) To determine the degree to which children with DLD and TD children differ in the amount of free time available during working memory tasks, and whether potential group differences in free time differ depending on the domain of task demands? (2) To determine the relationship between free time and interference effects on working memory accuracy in children with DLD relative to TD peers. METHODS & PROCEDURES: We examined the relationship between free time and working memory in children aged 9-13 years with DLD relative to age-matched TD peers. Working memory tasks involved five conditions that varied verbal versus non-verbal task demands in an interference processing phase relative to a recall test phase. Free time was the time between response on the interference processing task and onset of the recall test phase. OUTCOMES & RESULTS: DLD and TD groups did not differ in total free time in any condition. Results indicated group differences in the relationship between free time and accuracy in the conditions involving verbal recall, but not non-verbal recall. In the verbal-only condition, relatively more free time was associated with worse accuracy for the DLD group, but with better accuracy for the TD group. In the condition with verbal recall paired with non-verbal interference processing, relatively more free time was associated with better accuracy for the DLD group, but not for the TD group. CONCLUSIONS & IMPLICATIONS: The overall findings suggest that free time between cognitive operations is positively associated with working memory for both verbal and non-verbal recall, except in the presence of high verbal interference for the DLD group (i.e., verbal interference paired with verbal recall). This finding may reflect poor encoding and attention under particularly challenging verbal processing demands for the DLD group. This study also demonstrates the importance of considering the interrelationships between processing speed and interference in working memory performance. WHAT THIS PAPER ADDS: What is already known on the subject DLD is characterized by core deficits in verbal processing, but also deficits in non-verbal processing. Processing-based hypotheses of DLD-limited verbal working memory, slowed processing speed and inefficient inhibition-do not fully account for behavioural profiles in DLD when considered separately, yet there is evidence suggesting interrelationships among these factors. What this paper adds to existing knowledge The current study tests the key mechanism posited by a theoretical framework that has the potential to integrate these processing-based hypotheses. Our findings indicate that the effect of this mechanism differed in DLD relative to TD peers in the presence of high verbal task demands. Our findings also demonstrate the importance of considering the interrelationships among cognitive processes in children with DLD. What are the potential or actual clinical implications of this work? In practice, results from the current study suggest that children with DLD may benefit from supplementing verbal information with non-verbal information and from pauses between successive presentations of verbal information. These strategies may support their ability to maintain and act on information during verbal processing.

Working Memory Performance in Children With Developmental Language Disorder: The Role of Domain.

PURPOSE: This study examined working memory in children with developmental language disorder (DLD). The overarching goal of this work was to integrate three primary processing-based hypotheses of DLD, (a) limited verbal working memory, (b) slowed processing speed, and (c) inefficient inhibition of interference, by using the serial-order-in-a-box-complex span (SOB-CS) computational model as our theoretical framework. We also examined the role of domain in working memory performance by varying the domain of interference and recall (i.e., verbal vs. nonverbal) task demands. METHOD: Participants were 55 school-age children, 21 children with DLD and 34 age-matched typically developing (TD) peers (9-13 years old). RESULTS: Findings indicated that verbal and nonverbal working memory performance was poorer in the DLD than TD group. There was a modest benefit of dispersing interference and recall task demands across domains relative to task demands being within one domain, yet verbal interference affected performance to a greater degree than nonverbal interference in the DLD group. CONCLUSIONS: Overall findings supported a role for each of the processing-based hypotheses of DLD, albeit an incomplete role. In contrast, the SOB-CS model accounted for interrelationships among these processing-based factors and provided an explanation across patterns of findings. Thus, the SOB-CS model represents a useful step forward in explaining processing in children with DLD. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.19526179.

Predictive language processing in young autistic children.

Recent theories propose that domain-general deficits in prediction (i.e., the ability to anticipate upcoming information) underlie the behavioral characteristics associated with autism spectrum disorder (ASD). If these theories are correct, autistic children might be expected to demonstrate difficulties on linguistic tasks that rely on predictive processing. Previous research has largely focused on older autistic children and adolescents with average language and cognition. The present study used an eye-gaze task to evaluate predictive language processing among 3- to 4-year-old autistic children (n = 34) and 1.5- to 3-year-old, language-matched neurotypical (NT) children (n = 34). Children viewed images (e.g., a cake and a ball) and heard sentences with informative verbs (e.g., Eat the cake) or neutral verbs (e.g., Find the cake). Analyses of children's looking behaviors indicated that young autistic children, like their language-matched NT peers, engaged in predictive language processing. Regression results revealed a significant effect of diagnostic group, when statistically controlling for age differences. The NT group displayed larger difference scores between the informative and neutral verb conditions (in looks to target nouns) compared to the ASD group. Receptive language measures were predictive of looking behavior across time for both groups, such that children with stronger language skills were more efficient in making use of informative verbs to process upcoming information. Taken together, these results suggest that young autistic children can engage in predictive processing though further research is warranted to explore the developmental trajectory relative to NT development. LAY SUMMARY: This study found that 3- to 4-year-old autistic children and younger, language-matched neurotypical (NT) children both used verbs to predict upcoming nouns in sentences like "Eat the cake." For both autistic and NT children, those with stronger language skills were able to predict upcoming nouns more quickly.

Use of Mutual Exclusivity and its Relationship to Language Ability in Toddlers with Autism Spectrum Disorder.

To efficiently learn new words, children use constraints such as mutual exclusivity (ME) to narrow the search for potential referents. The current study investigated the use of ME in toddlers with autism spectrum disorder (ASD) and neurotypical (NT) peers matched on nonverbal cognition. Thirty-two toddlers with ASD and 26 NT toddlers participated in a looking-while-listening task. Images of novel and familiar objects were presented along with a novel or familiar label. Overall, toddlers with ASD showed less efficient looking toward a novel referent when a novel label was presented compared to NT toddlers, controlling for age and familiar word knowledge. However, toddlers with ASD and higher language ability demonstrated more robust use of ME than those with lower language ability.

Children with ASD and Communication Regression: Examining Pre-Loss Skills and Later Language Outcomes Through the Preschool Years.

This study investigated receptive and expressive language outcomes in children with autism spectrum disorder (ASD) with and without a history of language/communication regression, employing three progressively less stringent definitions of regression. Data were derived from a large, longitudinal sample of children with ASD in which regression was assessed at approximately 30 months. Results indicated poorer receptive language and larger discrepancies between receptive and expressive language in the regression group than the group without regression at 44 months but not 66 months. Number of words used before loss predicted receptive language at 44 months. Overall, results suggest that a regression profile in ASD is associated with modest and transient impacts on language outcomes that are no longer discernable at school entry.

A preliminary epidemiologic study of social (pragmatic) communication disorder in the context of developmental language disorder.

BACKGROUND: There is extremely limited population-based research on social (pragmatic) communication disorder (SCD). Population-based samples have the potential to better characterize the SCD phenotype by mitigating confounds and biases that are typical of convenience and clinical samples. AIMS: The aims of this preliminary epidemiologic study were to advance our understanding of the SCD phenotype relative to developmental language disorder (DLD), obtain an estimate of prevalence, identify risk factors and lay the groundwork for future population level research of SCD. METHODS & PROCEDURES: We analysed existing data from the EpiSLI Database to examine social communication skills in 393 8th grade (13-14 years) children with and without a history of DLD. The primary measure used to evaluate SCD was the Children's Communication Checklist (CCC-2). Two case definitions of SCD reflecting DSM-5 criteria were examined. Both definitions involved significant pragmatic impairment, employing a commonly adopted clinical cut-point of 1.5 SD. In one case, pragmatic deficits could occur along with structural language deficits and, in the other case (established using principal component analysis), pragmatic and social skills were disproportionately lower than structural language abilities. OUTCOMES & RESULTS: When using the first case definition, SCD was much more common in children with a history of DLD than without DLD and history of language disorder at kindergarten was a significant risk factor for SCD in adolescence. However, it is important to note that SCD could be found in children with no prior deficits in other aspects of language. When the second definition was employed, SCD was equally distributed across children with and without a history of DLD. Male sex was a significant risk factor using this case definition of SCD. The estimated prevalence of SCD ranged from 7% (SE = 1.5%) to 11% (SE = 1.7%), acknowledging that prevalence depends on the cut-point selected to determine communication disorder. CONCLUSIONS & IMPLICATIONS: These findings contribute to our understanding of the association between SCD and DLD by recognizing varying profiles of pragmatic and social communication difficulties, which in turn may help refine our diagnostic categories. Preliminary prevalence estimates of SCD can serve as an initial guidepost for identification and planning for intervention services for this condition. WHAT THIS PAPER ADDS: What is already known on this subject There is considerable debate about the diagnostic category of SCD and its relation to other neurodevelopmental disorders. What this study adds to existing knowledge Using data from a US-based epidemiologic sample of DLD, this study offers new information about the association between SCD and DLD, provides preliminary estimates of SCD prevalence, and identifies risk factors for SCD. Clinical implications of this study Improved understanding of possible profiles of pragmatic and social communication deficits will help to clarify diagnostic categories and preliminary prevalence estimates may assist with ensuring availability of adequate intervention services.

Coarticulation facilitates lexical processing for toddlers with autism.

Many children with autism spectrum disorder (ASD) are delayed in learning language. The mechanisms underlying these delays are not well understood but may involve differences in how children process language. In the current experiment, we compared how 3- to 4-year-old children with ASD (n = 58) and 2- to 3-year-old children who are typically developing (TD, n = 44) use phonological information to incrementally process speech. Children saw pictures of objects displayed on a screen and heard sentences labeling one of the objects (e.g., Find the ball). For some sentences, the determiner the contained coarticulatory information about the onset of the target word. For other sentences, the determiner the did not contain any coarticulatory information. Children were faster to fixate the target object for sentences with vs. without coarticulation. This effect of coarticulation was the same for children with ASD compared to their TD peers. When controlling for group differences in receptive language ability, the effect of coarticulation was stronger for children with ASD compared to their TD peers. These results suggest that phonological processing is an area of relative strength for children with ASD.

Does long-term dual-language immersion affect children's executive functioning?

Dual-language immersion (DLI) experience has been linked to enhanced reading and math skills in minority- and majority-language elementary school children. However, it remains unclear whether DLI experience can also enhance executive functioning. The current study took a longitudinal approach to this question and examined the effect of DLI experience on the development of executive function skills in majority-language children over a 1-year period. In total, 33 monolingual children attending English-only classrooms (Mage = 9.17 years, SD = 1.03) and 33 English-Spanish bilingual children attending DLI classrooms (Mage = 9.27 years, SD = 0.94) matched on age, gender, nonverbal IQ, and socioeconomic status were tested twice, 1 year apart, on nonverbal measures of inhibition, shifting, switching, and monitoring. Results revealed a significant interaction between group and year only on the response inhibition task, with bilinguals showing superior inhibition in Year 1 but not in Year 2. The two groups performed equivalently on all other measures at both time points. Results suggest that classroom DLI has a minimal impact on executive functions, at least as tested in the current study.

A Preliminary Epidemiologic Study of Social (Pragmatic) Communication Disorder Relative to Autism Spectrum Disorder and Developmental Disability Without Social Communication Deficits.

The goal of this preliminary investigation was to compare demographic and clinical characteristics in a sample of children with likely Social (Pragmatic) Communication Disorder (SCD) (N = 117) to those in children with possible (N = 118) and some (N = 126) SCD traits, other developmental delay (DD) (N = 91) and autism spectrum disorder (ASD) (N = 642). We used data from the Study to Explore Early Development (SEED), a multi-site case-control study. Items reflecting SCD DSM-5 criteria were selected from an autism diagnostic measure, with SCD categories identified by creating quartiles. Our results suggest that SCD may fall along a continuum involving elevated deficits (in comparison to DD with no SCD) in social communication and restricted and repetitive behavior that do not reach the clinical threshold for ASD.

Planning in Children with Autism Spectrum Disorder: The Role of Verbal Mediation.

This study examined verbal mediation during planning in school-age children with autism spectrum disorder (ASD) relative to age- and nonverbal IQ- matched typically developing peers using a dual-task paradigm. Analyses showed no group differences in performance. However, in the condition intended to disrupt verbal mediation, language skills were associated with planning performance for the TD group, but not the ASD group. Upon examining ASD subgroups with versus without comorbid structural language impairment, children with ASD and normal language appeared to rely on verbal mediation to a greater degree than children with ASD and language impairment, but to a lesser degree than TD peers. Thus, the role of verbal mediation in planning for children with ASD differs depending on language status.

Competing Perceptual Salience in a Visual Word Recognition Task Differentially Affects Children With and Without Autism Spectrum Disorder.

Differences in visual attention have long been recognized as a central characteristic of autism spectrum disorder (ASD). Regardless of social content, children with ASD show a strong preference for perceptual salience-how interesting (i.e., striking) certain stimuli are, based on their visual properties (e.g., color, geometric patterning). However, we do not know the extent to which attentional allocation preferences for perceptual salience persist when they compete with top-down, linguistic information. This study examined the impact of competing perceptual salience on visual word recognition in 17 children with ASD (mean age 31 months) and 17 children with typical development (mean age 20 months) matched on receptive language skills. A word recognition task presented two images on a screen, one of which was named (e.g., Find the bowl!). On Neutral trials, both images had high salience (i.e., were colorful and had geometric patterning). On Competing trials, the distracter image had high salience but the target image had low salience, creating competition between bottom-up (i.e., salience-driven) and top-down (i.e., language-driven) processes. Though both groups of children showed word recognition in an absolute sense, competing perceptual salience significantly decreased attention to the target only in the children with ASD. These findings indicate that perceptual properties of objects can disrupt attention to relevant information in children with ASD, which has implications for supporting their language development. Findings also demonstrate that perceptual salience affects attentional allocation preferences in children with ASD, even in the absence of social stimuli. LAY SUMMARY: This study found that visually striking objects distract young children with autism spectrum disorder (ASD) from looking at relevant (but less striking) objects named by an adult. Language-matched, younger children with typical development were not significantly affected by this visual distraction. Though visual distraction could have cascading negative effects on language development in children with ASD, learning opportunities that build on children's focus of attention are likely to support positive outcomes.

Comparing Automatic Eye Tracking and Manual Gaze Coding Methods in Young Children with Autism Spectrum Disorder.

Eye-gaze methods offer numerous advantages for studying cognitive processes in children with autism spectrum disorder (ASD), but data loss may threaten the validity and generalizability of results. Some eye-gaze systems may be more vulnerable to data loss than others, but to our knowledge, this issue has not been empirically investigated. In the current study, we asked whether automatic eye-tracking and manual gaze coding produce different rates of data loss or different results in a group of 51 toddlers with ASD. Data from both systems were gathered (from the same children) simultaneously, during the same experimental sessions. As predicted, manual gaze coding produced significantly less data loss than automatic eye tracking, as indicated by the number of usable trials and the proportion of looks to the images per trial. In addition, automatic eye-tracking and manual gaze coding produced different patterns of results, suggesting that the eye-gaze system used to address a particular research question could alter a study's findings and the scientific conclusions that follow. It is our hope that the information from this and future methodological studies will help researchers to select the eye-gaze measurement system that best fits their research questions and target population, as well as help consumers of autism research to interpret the findings from studies that utilize eye-gaze methods with children with ASD. Autism Res 2020, 13: 271-283. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The current study found that automatic eye-tracking and manual gaze coding produced different rates of data loss and different overall patterns of results in young children with ASD. These findings show that the choice of eye-gaze system may impact the findings of a study-important information for both researchers and consumers of autism research.

Specificity of Phonological Representations for Children with Autism Spectrum Disorder.

This study investigated whether children with autism spectrum disorder (ASD) are sensitive to mispronunciations of familiar words and compared their sensitivity to children with typical-development. Sixty-four toddlers with ASD and 31 younger, typical controls participated in a looking-while-listening task that measured their accuracy in fixating the correct object when it was labelled with a correct pronunciation versus mispronunciation. A cognitive style that prioritizes processing local, rather than global features, as claimed by the weak central coherence theory, predicts that children with ASD should be more sensitive to mispronunciations than typical controls. The results, however, reveal no differences in the effect of mispronunciations on lexical processing between groups, even when matched for receptive language or non-verbal cognitive skills.

Thinking Ahead: Incremental Language Processing is Associated with Receptive Language Abilities in Preschoolers with Autism Spectrum Disorder.

In typical development, listeners can use semantic content of verbs to facilitate incremental language processing-a skill that is associated with existing language skills. Studies of children with ASD have not identified an association between incremental language processing in semantically-constraining contexts and language skills, perhaps because participants were adolescents and/or children with strong language skills. This study examined incremental language processing and receptive language in young children with ASD with a range of language skills. Children showed a head start when presented with semantically-constraining verbs (e.g., Read the book) compared to neutral verbs (e.g., Find the book). Children with weaker receptive language showed a smaller head start than children with stronger receptive language skills, suggesting continuity between typical development and ASD.

Executive Function Skills in School-Age Children With Autism Spectrum Disorder: Association With Language Abilities.

Purpose: This article reviews research on executive function (EF) skills in children with autism spectrum disorder (ASD) and the relation between EF and language abilities. The current study assessed EF using nonverbal tasks of inhibition, shifting, and updating of working memory (WM) in school-age children with ASD. It also evaluated the association between children's receptive and expressive language abilities and EF performance. Method: In this study, we sought to address variables that have contributed to inconsistencies in this area of research-including task issues, group comparisons, and participant heterogeneity. EF abilities in children with ASD (n = 48) were compared to typically developing controls (n = 71) matched on age, as well as when statistically controlling for group differences in nonverbal cognition, socioeconomic status, and social communication abilities. Six nonverbal EF tasks were administered-2 each to evaluate inhibition, shifting, and WM. Language abilities were assessed via a standardized language measure. Language-EF associations were examined for the ASD group as a whole and subdivided by language status. Results: Children with ASD exhibited significant deficits in all components of EF compared to age-mates and showed particular difficulty with shifting after accounting for group differences in nonverbal cognition. Controlling for social communication-a core deficit in ASD-eliminated group differences in EF performance. A modest association was observed between language (especially comprehension) and EF skills, with some evidence of different patterns between children on the autism spectrum with and without language impairment. Conclusions: There is a need for future research to examine the direction of influence between EF and language. It would be beneficial for EF interventions with children with ASD to consider language outcomes and, conversely, to examine whether specific language training facilitates aspects of executive control in children on the autism spectrum. Presentation Video: https://doi.org/10.23641/asha.7298144.