Communication interventions for autism spectrum disorder in minimally verbal children.
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ABSTRACT:
SUBMITTER: Brignell A
PROVIDER: S-EPMC6516977 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:OBJECTIVE:This study tested the effect of beginning treatment with a speech-generating device (SGD) in the context of a blended, adaptive treatment design for improving spontaneous, communicative utterances in school-aged, minimally verbal children with autism. METHOD:A total of 61 minimally verbal children with autism, aged 5 to 8 years, were randomized to a blended developmental/behavioral intervention (JASP+EMT) with or without the augmentation of a SGD for 6 months with a 3-month follow-up. The intervention consisted of 2 stages. In stage 1, all children received 2 sessions per week for 3 months. Stage 2 intervention was adapted (by increased sessions or adding the SGD) based on the child's early response. The primary outcome was the total number of spontaneous communicative utterances; secondary measures were the total number of novel words and total comments from a natural language sample. RESULTS:Primary aim results found improvements in spontaneous communicative utterances, novel words, and comments that all favored the blended behavioral intervention that began by including an SGD (JASP+EMT+SGD) as opposed to spoken words alone (JASP+EMT). Secondary aim results suggest that the adaptive intervention beginning with JASP+EMT+SGD and intensifying JASP+EMT+SGD for children who were slow responders led to better posttreatment outcomes. CONCLUSION:Minimally verbal school-aged children can make significant and rapid gains in spoken spontaneous language with a novel, blended intervention that focuses on joint engagement and play skills and incorporates an SGD. Future studies should further explore the tailoring design used in this study to better understand children's response to treatment. Clinical trial registration information-Developmental and Augmented Intervention for Facilitating Expressive Language (CCNIA); http://clinicaltrials.gov/; NCT01013545.
| S-EPMC4030683 | biostudies-literature
Project description:Lay abstractAlthough preverbal and minimally verbal children with autism spectrum disorder represent a significant portion of the autism spectrum disorder population, we have a limited understanding of and characterization of them. Although it is a given that their lexical profiles contain fewer words, it is important to determine whether (a) the words preverbal and minimally verbal children with autism spectrum disorder produce are similar to the first words typically developing children produce or (b) there are unique features of the limited words that preverbal and minimally verbal children with autism spectrum disorder produce. The current study compared the early word profiles of preverbal and minimally verbal children with autism spectrum disorder to vocabulary-matched typically developing toddlers. Children with autism spectrum disorder produced proportionally more verbs than typically developing toddlers. Also, children with autism spectrum disorder produced proportionally more action and food words, while typically developing toddlers produced proportionally more animal words, animal sounds and sound effects, and people words. Children with autism spectrum disorder also produced "mommy" and "daddy" at lower rates. Our findings identified several areas of overlap in early word learning; however, our findings also point to differences that may be connected to core weaknesses in social communication (i.e. people words). The findings highlight words and categories that could serve as useful targets for communication intervention with preverbal and minimally verbal children with autism spectrum disorder.
| S-EPMC8089034 | biostudies-literature
Project description:There has been increasing attention to the assessment of minimally verbal (MV) children with autism spectrum disorder (ASD). Previous research has begun to examine the relationship between verbal abilities and emotional and behavioral problems (EBP). The current study compared parent-reported EBP in children of differing language levels on two instruments commonly used in ASD research and clinical practice, the Child Behavior Checklist (CBCL) and Aberrant Behavior Checklist (ABC). The study consisted of 1,937 6-18?years old children with ASD from the Simons Simplex Collection. Children were divided into three language groups, by ADOS module (Module 1 = MV, 2 = phrase speech (PS), and 3 = verbally fluent (VF)) and then compared on CBCL and ABC subscales. The ABC and CBCL showed different patterns of elevations across the language groups. MV children were reported to have more impairment than VF children on the ABC irritability, lethargy, and hyperactivity scales. Children with less language (MV and PS) exhibited less impairment on the CBCL internalizing domain than VF children, but did not differ on the externalizing domain. Post hoc comparisons showed that internalizing differences were driven by fewer children with less language exhibiting clinically elevated anxious/depressed scores compared to VF children. The present study underscores the significance of considering language when assessing EBP. Results have implications for the psychiatric screening of children with ASD, particularly those with language impairments. Researchers should exercise caution when applying EBP instruments designed for use with different populations and purposes to broad samples of children. Autism Res 2019, 12: 1367-1375. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Some emotional and behavioral problem (EBP) scales include items that may be inappropriate for children with ASD and limited language. The present study found that there was a tendency for children with language impairment to have lower internalizing scores on the Child Behavior Checklist, but higher scores lethargy and irritability scores on the Aberrant Behavior Checklist, relative to verbally fluent children. This suggests that each of these instruments may underestimate EBPs in certain subsets of children.
| S-EPMC6733634 | biostudies-literature
Project description:Purpose Understanding what limits speech development in minimally verbal (MV) children with autism spectrum disorder (ASD) is important for providing highly effective targeted therapies. This preliminary investigation explores the extent to which developmental speech deficits predicted by Directions Into Velocities of Articulators (DIVA), a computational model of speech production, exemplify real phenotypes. Method Implementing a motor speech disorder in DIVA predicted that speech would become highly variable within and between tokens, while implementing a motor speech plus an auditory processing disorder predicted that DIVA's speech would become highly centralized (schwa-like). Acoustic analyses of DIVA's output predicted that acoustically measured phoneme distortion would be similar between the two cases, but that in the former case, speech would show more within- and between-token variability than in the latter case. We tested these predictions quantitatively on the speech of children with MV ASD. In Study 1, we tested the qualitative predictions using perceptual analysis methods. Speech pathologists blinded to the purpose of the study tallied the signs of childhood apraxia of speech that appeared in the speech of 38 MV children with ASD. K-means clustering was used to create two clusters from the group of 38, and analysis of variance was used to determine whether the clusters differed according to perceptual features corresponding to within- and between-token variability. In Study 2, we employed acoustic analyses on the speech of the child from each cluster who produced the largest number of analyzable tokens to test the predictions of differences in within-token variability, between-token variability, and vowel space area. Results Clusters produced by k-means analysis differed by perceptual features that corresponded to within-token variability. Nonsignificant differences between clusters were found for features corresponding to between-token variability. Subsequent acoustic analyses of the selected cases revealed that the speech of the child from the high-variability cluster showed significantly more quantitative within- and between-token variability than the speech of the child from the low-variability cluster. The vowel space of the child from the low-variability cluster was more centralized than that of typical children and that of the child from the high-variability cluster. Conclusions Results provide preliminary evidence that subphenotypes of children with MV ASD may exist, characterized by (a) comorbid motor speech disorder and (b) comorbid motor speech plus auditory processing disorder. The results motivate testable predictions about how these comorbidities affect speech. Supplemental Material https://doi.org/10.23641/asha.14384432.
| S-EPMC8702870 | biostudies-literature
Project description:We tested an intonation-based speech treatment for minimally verbal children with autism (auditory-motor mapping training, AMMT) against a nonintonation-based control treatment (speech repetition therapy, SRT). AMMT involves singing, rather than speaking, two-syllable words or phrases. In time with each sung syllable, therapist and child tap together on electronic drums tuned to the same pitches, thus coactivating shared auditory and motor neural representations of manual and vocal actions, and mimicking the "babbling and banging" stage of typical development. Fourteen children (three females), aged 5.0-10.8, with a mean Autism Diagnostic Observation Schedule-2 score of 22.9 (SD = 2.5) and a mean Kaufman Speech Praxis Test raw score of 12.9 (SD = 13.0) participated in this trial. The main outcome measure was percent syllables approximately correct. Four weeks post-treatment, AMMT resulted in a mean improvement of +12.1 (SE = 3.8) percentage points, compared to +2.8 (SE = 5.7) percentage points for SRT. This between-group difference was associated with a large effect size (Cohen's d = 0.82). Results suggest that simultaneous intonation and bimanual movements presented in a socially engaging milieu are effective factors in AMMT and can create an individualized, interactive music-making environment for spoken-language learning in minimally verbal children with autism.
| S-EPMC10264969 | biostudies-literature
Project description:Phelan-McDermid syndrome (PMS) is a single-locus cause of developmental delay, autism spectrum disorder, and minimal verbal abilities. There is an urgent need to identify objective outcome measures of expressive language for use in this and other minimally verbal populations. One potential tool is an automated language processor called Language ENvironment Analysis (LENA). LENA was used to obtain over 542 h of audio in 18 children with PMS. LENA performance was adequate in a subset of children with PMS, specifically younger children and those with fewer stereotypic vocalizations. One LENA-derived language measure, Vocalization Ratio, had improved accuracy in this sample and may represent a novel expressive language measure for use in severely affected populations.
| S-EPMC6196360 | biostudies-literature
Project description:BackgroundMobile touchscreen devices are currently being used as speech-generating devices (SGDs) and have been shown to promote the communication skills, particularly the requesting skills of children with autism spectrum disorders (ASD) who have limited spoken language. However, no augmentative and alternative communication (AAC) mobile app has been developed and evaluated in the Chinese language in Mainland China.MethodsWe developed an AAC mobile app, which is the first in Mainland China, to our knowledge, named Yuudee (Chinese name (xiaoyudi)). Yuudee was developed using the Objective-C and Java programming languages. A five-phase training protocol for making requests using Yuudee was developed based on the Picture Exchange Communication System. We trained ten minimally verbal children with ASD to make requests using Yuudee and evaluated the effectiveness of the training.ResultsYuudee has a built-in library of over 400 pictures with corresponding spoken phrases that are divided into 39 categories ranging from making simple requests to expressing emotions. An additional important feature of Yuudee is its customization functions that allow a parent or trainer to easily select pictures and phrases to display, create new pictures and phrases, and change the layouts and orders of the pictures to fit the personal needs of each child. Yuudee is freely available in an iOS version from the iTunes App Store (https://itunes.apple.com/cn/app/xiao-yu-di/id794832934?mt=8) and in an Android version from Google Play (https://play.google.com/store/apps/details?id=com.supersuperstar.yuudee.vue) and domestic Chinese Android App stores. Three consecutive unprompted successful responses, which were defined as an initial training success, were achieved in at least three of the five phases for all ten of the evaluated children. The accuracy rate of a given phase was calculated for each child who achieved three consecutive unprompted successful responses in the phase. Seven children achieved at least 50% accuracy in at least two of the five phases. The other three children achieved at least 50% accuracy in only one phase. Two children achieved at least 50% accuracy in all of the phases in which they were trained.ConclusionsOur data suggest that Yuudee is a useful tool for helping minimally verbal children with ASD make requests.
| S-EPMC5627471 | biostudies-literature
Project description:BackgroundNeuroimaging research on individuals who have autism spectrum disorder (ASD) has historically been limited primarily to those with age-appropriate cognitive and language performance. Children with limited abilities are frequently excluded from such neuroscience research given anticipated barriers like tolerating the loud sounds associated with magnetic resonance imaging and remaining still during data collection. To better understand brain function across the full range of ASD there is a need to (1) include individuals with limited cognitive and language performance in neuroimaging research (non-sedated, awake) and (2) improve data quality across the performance range. The purpose of this study was to develop, implement, and test the feasibility of a clinical/behavioral and technical protocol for obtaining magnetoencephalography (MEG) data. Participants were 38 children with ASD (8-12 years) meeting the study definition of minimally verbal/nonverbal language. MEG data were obtained during a passive pure-tone auditory task.ResultsBased on stakeholder feedback, the MEG Protocol for Low-language/cognitive Ability Neuroimaging (MEG-PLAN) was developed, integrating clinical/behavioral and technical components to be implemented by an interdisciplinary team (clinicians, behavior specialists, scientists, and technologists). Using MEG-PLAN, a 74% success rate was achieved for acquiring MEG data, with a 71% success rate for evaluable and analyzable data. Exploratory analyses suggested nonverbal IQ and adaptive skills were related to reaching the point of acquirable data. No differences in group characteristics were observed between those with acquirable versus evaluable/analyzable data. Examination of data quality (evaluable trial count) was acceptable. Moreover, results were reproducible, with high intraclass correlation coefficients for pure-tone auditory latency.ConclusionsChildren who have ASD who are minimally verbal/nonverbal, and often have co-occurring cognitive impairments, can be effectively and comfortably supported to complete an electrophysiological exam that yields valid and reproducible results. MEG-PLAN is a protocol that can be disseminated and implemented across research teams and adapted across technologies and neurodevelopmental disorders to collect electrophysiology and neuroimaging data in previously understudied groups of individuals.
| S-EPMC7827989 | biostudies-literature
Project description:Autism spectrum disorder (ASD) is a complex heterogeneous developmental disease with a significant genetic background that is frequently caused by rare copy number variants (CNV). The aim of the study was to identify new candidate genes for ASD in the studied cohort of ASD-diagnosed patients. We used chromosomal microarray analysis (CMA) - a Cytoscan HD (Affymetrix, Santa Clara, CA, USA) to detect CNV in 87 ASD patients and their relatives and evaluated their clinical significance. Pathogenic and likely pathogenic mutations were identified by CMA in 8 and 9 ASD patients, respectively. CMA revealed 89 rare CNV: 8 pathogenic, 12 designated VOUS - likely pathogenic, 12 VOUS - uncertain, and 57 VOUS - likely benign or benign. CNV (pathogenic/VOUS-likely pathogenic/VOUS - uncertain) overlapping the same gene in more than one patient were observed in DOCK8 gene and PARK2 gene. This work presents new evidence about the possible roles of PARK2 and DOCK8 in the etiology of ASD, and suggests CTNNA2 as a candidate gene for ASD risk.
2018-05-25 | GSE114870 | GEO
Project description:Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by core deficits in social interaction and communication. Collaborative puzzle games are interactive activities that can be played to foster the collaboration and verbal-communication skills of children with ASD. In this paper, we have designed an intelligent agent that can play collaborative puzzle games with children and verbally communicate with them as if it is another human player. Furthermore, this intelligent agent is also able to automatically measure children's task-performance and verbal-communication behaviors throughout game play. Two preliminary studies were conducted with children with ASD to evaluate the feasibility and performance of the intelligent agent. Results of Study I demonstrated the intelligent agent's ability to play games and communicate with children within the game-playing domain. Results of Study II indicated its potential to measure the communication and collaboration skills of human users.
| S-EPMC8966619 | biostudies-literature