Dataset Information

Longitudinal study of symptom severity and language in minimally verbal children with autism.

ABSTRACT: BACKGROUND:A significant minority of children with autism spectrum disorder (ASD) are considered 'minimally verbal' due to language development stagnating at a few words. Recent developments allow for the severity of ASD symptoms to be examined using Autism Diagnostic Observation Schedule (ADOS) Social Affect (SA) and Restricted and Repetitive Behaviors (RRB) domain severity scores. The aim of the current study was to explore language outcomes in a cohort of minimally verbal children with autism evaluated through the preschool years and determine if and how ASD symptom severity in core domains predicts the development of spoken language by age 5. METHODS:The sample consisted of 70 children with autism aged 1-5 years at the first evaluation who were examined at least 1 year later, during their fifth year of age. The ADOS overall level of language item was used to categorize children as minimally verbal or having phrase speech, and the Mullen Scales of Early Learning was used as a continuous measure of expressive language. RESULTS:At Time 1, 65% (n = 47) of children in the sample were minimally verbal and by Time 2, 36% (n = 17 of 47) of them had developed phrase speech. While the Time 1 ADOS calibrated severity scores did not predict whether or not a child remained minimally verbal at Time 2, change in the SA calibrated severity score (but not RRB) was predictive of the continuous measure of expressive language. However, change in SA severity no longer predicted continuous expressive language when nonverbal cognitive ability was added to the model. CONCLUSIONS:Findings indicate that the severity of SA symptoms has some relationship with continuous language outcome, but not categorical. However, the omnipresent influence of nonverbal cognitive ability was confirmed in the current study, as the addition of it to the model rendered null the predictive utility of SA severity.

SUBMITTER: Thurm A

PROVIDER: S-EPMC4581593 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature

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Longitudinal study of symptom severity and language in minimally verbal children with autism.

Thurm Audrey A Manwaring Stacy S SS Swineford Lauren L Farmer Cristan C

Journal of child psychology and psychiatry, and allied disciplines 20140624 1

<h4>Background</h4>A significant minority of children with autism spectrum disorder (ASD) are considered 'minimally verbal' due to language development stagnating at a few words. Recent developments allow for the severity of ASD symptoms to be examined using Autism Diagnostic Observation Schedule (ADOS) Social Affect (SA) and Restricted and Repetitive Behaviors (RRB) domain severity scores. The aim of the current study was to explore language outcomes in a cohort of minimally verbal children wit ...[more]

PMID: 24961159

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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.

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.

Project description:Autism spectrum disorder (ASD) affects 1 in 88 children and is characterized by a complex phenotype, including social, communicative, and sensorimotor deficits. Autism spectrum disorder has been linked with atypical connectivity across multiple brain systems, yet the nature of these differences in young children with the disorder is not well understood.To examine connectivity of large-scale brain networks and determine whether specific networks can distinguish children with ASD from typically developing (TD) children and predict symptom severity in children with ASD.Case-control study performed at Stanford University School of Medicine of 20 children 7 to 12 years old with ASD and 20 age-, sex-, and IQ-matched TD children.Between-group differences in intrinsic functional connectivity of large-scale brain networks, performance of a classifier built to discriminate children with ASD from TD children based on specific brain networks, and correlations between brain networks and core symptoms of ASD.We observed stronger functional connectivity within several large-scale brain networks in children with ASD compared with TD children. This hyperconnectivity in ASD encompassed salience, default mode, frontotemporal, motor, and visual networks. This hyperconnectivity result was replicated in an independent cohort obtained from publicly available databases. Using maps of each individual's salience network, children with ASD could be discriminated from TD children with a classification accuracy of 78%, with 75% sensitivity and 80% specificity. The salience network showed the highest classification accuracy among all networks examined, and the blood oxygen-level dependent signal in this network predicted restricted and repetitive behavior scores. The classifier discriminated ASD from TD in the independent sample with 83% accuracy, 67% sensitivity, and 100% specificity.Salience network hyperconnectivity may be a distinguishing feature in children with ASD. Quantification of brain network connectivity is a step toward developing biomarkers for objectively identifying children with ASD.

Dataset Information

Longitudinal study of symptom severity and language in minimally verbal children with autism.

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Longitudinal study of symptom severity and language in minimally verbal children with autism.

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