scholarly journals Acquisition of Verb Meaning From Syntactic Distribution in Preschoolers With Autism Spectrum Disorder

2018 ◽  
Vol 49 (3S) ◽  
pp. 668-680 ◽  
Author(s):  
Sabrina Horvath ◽  
Elizabeth McDermott ◽  
Kathleen Reilly ◽  
Sudha Arunachalam

Purpose Our goal was to investigate whether preschool children with autism spectrum disorder (ASD) can begin to learn new word meanings by attending to the linguistic contexts in which they occur, even in the absence of visual or social context. We focused on verbs because of their importance for subsequent language development. Method Thirty-two children with ASD, ages 2;1–4;5 (years;months), participated in a verb-learning task. In a between-subjects design, they were randomly assigned to hear novel verbs in either transitive or intransitive syntactic frames while watching an unrelated silent animation or playing quietly with a toy. In an eye-tracking test, they viewed two video scenes, one depicting a causative event (e.g., boy spinning girl) and the other depicting synchronous events (e.g., boy and girl waving). They were prompted to find the referents of the novel verbs, and their eye gaze was measured. Results Like typically developing children in prior work, children with ASD who had heard the verbs in transitive syntactic frames preferred to look to the causative scene as compared to children who had heard intransitive frames. Conclusions This finding replicates and extends prior work on verb learning in children with ASD by demonstrating that they can attend to a novel verb's syntactic distribution absent relevant visual or social context, and they can use this information to assign the novel verb an appropriate meaning. We discuss points for future research, including examining individual differences that may impact success and contrasting social and nonsocial word-learning tasks directly.

2021 ◽  
pp. 105381512199557
Author(s):  
Jay Buzhardt ◽  
Anna Wallisch ◽  
Dwight Irvin ◽  
Brian Boyd ◽  
Brenda Salley ◽  
...  

One of the earliest indicators of autism spectrum disorder (ASD) is delay in language and social communication. Despite consensus on the benefits of earlier diagnosis and intervention, our understanding of the language growth of children with ASD during the first years of life remains limited. Therefore, this study compared communication growth patterns of infants and toddlers with ASD to growth benchmarks of a standardized language assessment. We conducted a retrospective analysis of growth on the Early Communication Indicator (ECI) of 23 infants and toddlers who received an ASD diagnosis in the future. At 42 months of age, children with ASD had significantly lower rates of gestures, single words, and multiple words, but significantly higher rates of nonword vocalizations. Children with ASD had significantly slower growth of single and multiple words, but their rate of vocalization growth was significantly greater than benchmark. Although more research is needed with larger samples, because the ECI was designed for practitioners to monitor children’s response to intervention over time, these findings show promise for the ECI’s use as a progress monitoring measure for young children with ASD. Limitations and the need for future research are discussed.


2016 ◽  
pp. 905-924
Author(s):  
Amie Senland

Technology featuring robots is a promising innovative technological intervention for treating and educating children with Autism Spectrum Disorder (ASD). This chapter reviews, critiques, and presents future directions for research on clinical and educational applications of robots for these children. Specifically, this chapter reviews current research on: (1) robots that act as social mediators for children with ASD and (2) robots that assist them in developing social skills such as joint attention and imitation. A critical review of the research suggests that robots may have the capacity to assist some of these children, but additional rigorous studies are necessary to demonstrate their efficacy and effectiveness. Future research must (1) examine whether robots have differential effects for specific subgroups of children with ASD and (2) contribute to a deeper understanding of robots' potential use in educational settings.


2019 ◽  
Vol 20 (13) ◽  
pp. 3285 ◽  
Author(s):  
Khushmol K. Dhaliwal ◽  
Camila E. Orsso ◽  
Caroline Richard ◽  
Andrea M. Haqq ◽  
Lonnie Zwaigenbaum

Autism Spectrum Disorder (ASD) is a developmental disorder characterized by social and communication deficits and repetitive behaviors. Children with ASD are also at a higher risk for developing overweight or obesity than children with typical development (TD). Childhood obesity has been associated with adverse health outcomes, including insulin resistance, diabetes, heart disease, and certain cancers. Importantly some key factors that play a mediating role in these higher rates of obesity include lifestyle factors and biological influences, as well as secondary comorbidities and medications. This review summarizes current knowledge about behavioral and lifestyle factors that could contribute to unhealthy weight gain in children with ASD, as well as the current state of knowledge of emerging risk factors such as the possible influence of sleep problems, the gut microbiome, endocrine influences and maternal metabolic disorders. We also discuss some of the clinical implications of these risk factors and areas for future research.


2020 ◽  
Vol 125 (4) ◽  
pp. 287-303 ◽  
Author(s):  
Kacie Dunham ◽  
Jacob I. Feldman ◽  
Yupeng Liu ◽  
Margaret Cassidy ◽  
Julie G. Conrad ◽  
...  

Abstract Children with autism spectrum disorder (ASD) display differences in multisensory function as quantified by several different measures. This study estimated the stability of variables derived from commonly used measures of multisensory function in school-aged children with ASD. Participants completed: a simultaneity judgment task for audiovisual speech, tasks designed to elicit the McGurk effect, listening-in-noise tasks, electroencephalographic recordings, and eye-tracking tasks. Results indicate the stability of indices derived from tasks tapping multisensory processing is variable. These findings have important implications for measurement in future research. Averaging scores across repeated observations will often be required to obtain acceptably stable estimates and, thus, to increase the likelihood of detecting effects of interest, as it relates to multisensory processing in children with ASD.


2018 ◽  
Vol 34 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Stephanie Gerow ◽  
Mandy Rispoli ◽  
Emily Gregori ◽  
Lisa Sanchez

There is growing support for the use of trial-based functional analysis (TBFA) in applied settings. The purpose of the present study was to assess the accuracy and social validity of parent-implemented TBFAs. The participants were three young children (ages 3–7 years old) with autism spectrum disorder (ASD) and their mothers. Each mother implemented the TBFA with coaching from a behavior consultant. Following the TBFA, parent-implemented function-based interventions were evaluated using a multiple-probe across parent–child dyads design. Child challenging behavior decreased and communication increased following the implementation of the function-based intervention. TBFAs required approximately 5 to 7 hr of consultant time, and each mother rated the TBFA as socially valid. The results of this study indicate parent-implemented TBFAs may be an accurate and socially valid method to evaluate the function of challenging behavior in homes. The discussion includes implications for practice and directions for future research.


Author(s):  
Amie Senland

Technology featuring robots is a promising innovative technological intervention for treating and educating children with Autism Spectrum Disorder (ASD). This chapter reviews, critiques, and presents future directions for research on clinical and educational applications of robots for these children. Specifically, this chapter reviews current research on: (1) robots that act as social mediators for children with ASD and (2) robots that assist them in developing social skills such as joint attention and imitation. A critical review of the research suggests that robots may have the capacity to assist some of these children, but additional rigorous studies are necessary to demonstrate their efficacy and effectiveness. Future research must (1) examine whether robots have differential effects for specific subgroups of children with ASD and (2) contribute to a deeper understanding of robots’ potential use in educational settings.


Author(s):  
Hellström

Children with Autism Spectrum Disorder (ASD) or Attention Deficit Hyperactivity Disorder (ADHD) have shown an increased risk for violence and victimization. However, research on exposure to multiple forms of victimization in different contexts are scarce. Hence, the current aim is to review the evidence about polyvictimization among children with ASD or ADHD. PsycInfo, ERIC, ERC, Scopus, and PubMed databases were systematically searched until 12 March 2019 to identify empirical studies with reported prevalence rates of at least four forms of victimization among children with ASD or ADHD. A total of 6/1300 articles were included in the review, ranging in sample sizes from 92 to 4114. The reported prevalence rates for polyvictimization were 1.8% and 23.1% for children with ASD and 7.3% for children with ADHD. The results emphasize the high prevalence of violence and victimization, including polyvictimization, among children with ASD or ADHD. Polyvictimization among children with ASD or ADHD is a highly under researched area. Significant knowledge gaps and important methodological considerations that provide important implications for future research include lack of information on cyber bullying, frequency or intensity of victimization, and the failure to include children as informants and to report health outcomes associated with polyvictimization.


2020 ◽  
Vol 63 (5) ◽  
pp. 1608-1617
Author(s):  
Maranda K. Jones ◽  
Nina Kraus ◽  
Silvia Bonacina ◽  
Trent Nicol ◽  
Sebastian Otto-Meyer ◽  
...  

Purpose Auditory processing measures have been used in an attempt to understand the relationship between neurological mechanisms and autism spectrum disorder (ASD) symptomatology in school-age children. The focus of the current study was to understand neural auditory processing in 2- to 3-year-olds with ASD. Method Auditory processing measures (click auditory brainstem responses and speech-evoked frequency-following responses) were hypothesized to differ between typically developing children ( n = 18) and children with ASD ( n = 18). Auditory processing measures were hypothesized to relate to language development in children with ASD. Results The current study found limited differences in auditory processing measures between the two groups. No relationships were found between auditory processing measures and language development measures. Conclusions Future research is necessary to characterize auditory processing in toddlers with ASD. Longitudinal approaches should be considered when studying auditory processing in children with ASD in order to explore its developmental relationship with ASD symptomatology.


2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Luke P. Grosvenor ◽  
Daniel G. Whitney ◽  
Heather E. Volk ◽  
M. Daniele Fallin

Children with autism spectrum disorder (ASD) have a higher prevalence of pain compared to those without ASD. Pain is a leading cause of morbidity and disability worldwide and may contribute to adverse health outcomes in people with ASD, thus warranting further research on this special population. The present study used data from 1,423 children with ASD and 46,023 children without ASD and their mothers from the combined 2016-2017 National Survey of Children’s Health. Mothers reported child pain and ASD status and their own mental health status. Mothers reporting a status of “Fair or Poor” were considered as having maternal mental health conditions (MMHCs) for the purposes of this study. Children with and without ASD who had mothers with MMHCs had higher odds of pain compared to children with mothers without MMHCs. These increased odds did not attenuate as a result of controlling for co-occurring neurological conditions, which have been associated with increased pain in children with ASD. Thus, parent mental health may alter perception and/or reports of pain on behalf of children with and without ASD. Future research should include more detailed assessments of parent mental health and clinical assessments of children in order to explore the role of parent mental health in the experiences of pain and other symptoms present in children with ASD.


2021 ◽  
pp. 131-144
Author(s):  
Aaron Shield ◽  
Deborah Mood ◽  
Nicole Salamy ◽  
Jonathan Henner

In this chapter, the authors discuss assessment of signed language development in deaf/hard of hearing (D/HH) signing children with autism spectrum disorder (ASD). The development of sign in D/HH children with ASD is an area of growing research, with recent papers describing how the language profile of such children is both similar to and different from hearing/speaking children with ASD. The authors highlight the difficulties of assessing signed language in this population, focusing on a lack of tests designed specifically for D/HH children. Furthermore, they describe how variations in degree of exposure to sign at home and different behavioral norms in the Deaf community complicate identification and assessment. Finally, the authors suggest some directions for possible future research.


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