nonverbal cognition
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Author(s):  
Angela John Thurman ◽  
Stephanie Summers Swinehart ◽  
Jessica Klusek ◽  
Jane E. Roberts ◽  
Lauren Bullard ◽  
...  

Abstract By adulthood, most males with fragile X syndrome (FXS) require support to navigate day-to-day settings. The present study cross-sectionally: (1) characterized the profile of daily living skills in males with FXS and (2) examined associated participant characteristics (i.e., fragile X mental retardation protein [FMRP] expression, nonverbal cognition, language, autism symptomatology, and anxiety symptomatology) using the Waisman-Activities of Daily Living questionnaire. Males with FXS (n = 57, ages 15–23 years) needed more help/support in the areas of domestic and community daily livings skills, than in the area of personal daily living skills. Significant associations were observed between reduced daily living skills and lower nonverbal cognition, receptive language, expressive language, and increased autism symptomatology. Receptive language emerged as the strongest unique predictor of daily living skill performance.


2019 ◽  
Vol 184 ◽  
pp. 48-64 ◽  
Author(s):  
Philippe A. Chouinard ◽  
Kezia G. Matheson ◽  
Kayla A. Royals ◽  
Oriane Landry ◽  
Gavin Buckingham ◽  
...  

2019 ◽  
Vol 182 ◽  
pp. 144-150 ◽  
Author(s):  
Nancy L. Segal ◽  
Erika N. Orozco ◽  
Kathleen J.S. Preston ◽  
David R. Gerkens

ASHA Leader ◽  
2019 ◽  
Vol 24 (6) ◽  
pp. 38-40
Author(s):  
Marjorie Nicholas

2019 ◽  
Vol 8 (2) ◽  
pp. 163-171
Author(s):  
Pablo Bernabeu ◽  
Richard Tillman

Abstract Linguistic relativity is the influence of language on other realms of cognition. For instance, the way movement is expressed in a person’s native language may influence how they perceive movement. Motion event encoding (MEE) is usually framed as a typological dichotomy. Path-in-verb languages tend to encode path information within the verb (e.g., ‘leave’), whereas manner-in-verb languages encode manner (e.g., ‘jump’). The results of MEE-based linguistic relativity experiments range from no effect to effects on verbal and nonverbal cognition. Seeking a more definitive conclusion, we propose linguistic and experimental enhancements. First, we examine state-of-the-art typology, suggesting how a recent MEE classification across twenty languages (Verkerk, 2014) may enable more powerful analyses. Second, we review procedural challenges such as the influence of verbal thought and second-guessing in experiments. To tackle these challenges, we propose distinguishing verbal and nonverbal subgroups, and having enough filler items. Finally we exemplify this in an experimental design.


Autism ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 141-153 ◽  
Author(s):  
Rose Nevill ◽  
Darren Hedley ◽  
Mirko Uljarević ◽  
Ensu Sahin ◽  
Johanna Zadek ◽  
...  

This study investigated language profiles in a community-based sample of 104 children aged 1–3 years who had been diagnosed with autism spectrum disorder using Diagnostic and Statistical Manual of Mental Disorders (5th ed.) diagnostic criteria. Language was assessed with the Mullen scales, Preschool Language Scale, fifth edition, and Vineland-II parent-report. The study aimed to determine whether the receptive-to-expressive language profile is independent from the assessment instrument used, and whether nonverbal cognition, early communicative behaviors, and autism spectrum disorder symptoms predict language scores. Receptive-to-expressive language profiles differed between assessment instruments and reporters, and Preschool Language Scale, fifth edition profiles were also dependent on developmental level. Nonverbal cognition and joint attention significantly predicted receptive language scores, and nonverbal cognition and frequency of vocalizations predicted expressive language scores. These findings support the administration of multiple direct assessment and parent-report instruments when evaluating language in young children with autism spectrum disorder, for both research and in clinical settings. Results also support that joint attention is a useful intervention target for improving receptive language skills in young children with autism spectrum disorder. Future research comparing language profiles of young children with autism spectrum disorder to children with non-autism spectrum disorder developmental delays and typical development will add to our knowledge of early language development in children with autism spectrum disorder.


2017 ◽  
Vol 60 (6) ◽  
pp. 1590-1605 ◽  
Author(s):  
Laura M. Justice ◽  
Hui Jiang ◽  
Jessica A. Logan ◽  
Mary Beth Schmitt

Purpose This study aimed to identify child-level characteristics that predict gains in language skills for children with language impairment who were receiving therapy within the public schools. The therapy provided represented business-as-usual speech/language treatment provided by speech-language pathologists in the public schools. Method The sample included 272 kindergartners and first-graders with language impairment who participated in a larger study titled “Speech-Therapy Experiences in the Public Schools.” Multilevel regression analyses were applied to examine the extent to which select child-level characteristics, including age, nonverbal cognition, memory, phonological awareness, vocabulary, behavior problems, and self-regulation, predicted children's language gains over an academic year. Pratt indices were computed to establish the relative importance of the predictors of interest. Results Phonological awareness and vocabulary skill related to greater gains in language skills, and together they accounted for nearly 70% of the explained variance, or 10% of total variance at child level. Externalizing behavior, nonverbal cognition, and age were also potentially important predictors of language gains. Conclusions This study significantly advances our understanding of the characteristics of children that may contribute to their language gains while receiving therapy in the public schools. Researchers can explore how these characteristics may serve to moderate treatment outcomes, whereas clinicians can assess how these characteristics may factor into understanding treatment responses.


2017 ◽  
Vol 60 (2) ◽  
pp. 422-434 ◽  
Author(s):  
Rouzana Komesidou ◽  
Nancy C. Brady ◽  
Kandace Fleming ◽  
Amy Esplund ◽  
Steven F. Warren

Purpose This research explored syntactic growth in children with fragile X syndrome (FXS) over a 5-year period, and variability in growth in relation to autism symptoms, nonverbal cognition, maternal responsivity, and gender. Method Language samples at 4 time points from 39 children with FXS, 31 boys and 8 girls, were analyzed using the Index of Productive Syntax (Scarborough, 1990) and mean length of utterance (Brown, 1973). The degree of autism symptoms was evaluated using the Childhood Autism Rating Scale (Schopler, Reichler, & Renner, 1988) at the first time point. Maternal responsivity estimates were averaged across time points. Results Children with FXS showed significant syntactic growth over time and a significant plateau (quadratic trend) in the later observations. Children who exhibited more autism symptoms at Time 1 had significantly lower syntactic abilities over time than children who exhibited fewer autism symptoms. Nonverbal cognition significantly predicted mean length of utterance scores but not Index of Productive Syntax scores. Maternal responsivity was not a significant predictor of syntactic outcomes. Girls with FXS generally demonstrated better expressive syntax than boys with FXS with notable individual differences. Conclusion Despite significant growth over time, expressive syntax is a vulnerable domain for children with FXS, especially for those with severe autism symptoms. Clinical implications arising from the current findings are discussed.


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