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Say that again: Quantifying patterns of production for children with autism using recurrence analysis
The current research study characterized syntactic productivity across a range of 5-year-old children with autism and explored the degree to which this productivity was associated with standardized measures of language and autism symptomatology. Natural language samples were transcribed from play-ba...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635266/ https://www.ncbi.nlm.nih.gov/pubmed/36337522 http://dx.doi.org/10.3389/fpsyg.2022.999396 |
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author | Mankovich, Amanda Blume, Jessica Wittke, Kacie Mastergeorge, Ann M. Paxton, Alexandra Naigles, Letitia R. |
author_facet | Mankovich, Amanda Blume, Jessica Wittke, Kacie Mastergeorge, Ann M. Paxton, Alexandra Naigles, Letitia R. |
author_sort | Mankovich, Amanda |
collection | PubMed |
description | The current research study characterized syntactic productivity across a range of 5-year-old children with autism and explored the degree to which this productivity was associated with standardized measures of language and autism symptomatology. Natural language samples were transcribed from play-based interactions between a clinician and participants with an autism diagnosis. Speech samples were parsed for grammatical morphemes and were used to generate measures of MLU and total number of utterances. We applied categorical recurrence quantification analysis, a technique used to quantify patterns of repetition in behaviors, to the children’s noun-related and verb-related speech. Recurrence metrics captured the degree to which children repeated specific lexical/grammatical units (i.e., recurrence rate) and the degree to which children repeated combinations of lexical/grammatical units (i.e., percent determinism). Findings indicated that beyond capturing patterns shown in traditional linguistic analysis, recurrence can reveal differences in the speech productions of children with autism spectrum disorder at the lexical and grammatical levels. We also found that the degree of repeating noun-related units and grammatical units was related to MLU and ADOS Severity Score, while the degree of repeating unit combinations (e.g., saying “the big fluffy dog” or the determiner-adjective-adjective-noun construction multiple times), in general, was only related to MLU. |
format | Online Article Text |
id | pubmed-9635266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96352662022-11-05 Say that again: Quantifying patterns of production for children with autism using recurrence analysis Mankovich, Amanda Blume, Jessica Wittke, Kacie Mastergeorge, Ann M. Paxton, Alexandra Naigles, Letitia R. Front Psychol Psychology The current research study characterized syntactic productivity across a range of 5-year-old children with autism and explored the degree to which this productivity was associated with standardized measures of language and autism symptomatology. Natural language samples were transcribed from play-based interactions between a clinician and participants with an autism diagnosis. Speech samples were parsed for grammatical morphemes and were used to generate measures of MLU and total number of utterances. We applied categorical recurrence quantification analysis, a technique used to quantify patterns of repetition in behaviors, to the children’s noun-related and verb-related speech. Recurrence metrics captured the degree to which children repeated specific lexical/grammatical units (i.e., recurrence rate) and the degree to which children repeated combinations of lexical/grammatical units (i.e., percent determinism). Findings indicated that beyond capturing patterns shown in traditional linguistic analysis, recurrence can reveal differences in the speech productions of children with autism spectrum disorder at the lexical and grammatical levels. We also found that the degree of repeating noun-related units and grammatical units was related to MLU and ADOS Severity Score, while the degree of repeating unit combinations (e.g., saying “the big fluffy dog” or the determiner-adjective-adjective-noun construction multiple times), in general, was only related to MLU. Frontiers Media S.A. 2022-10-21 /pmc/articles/PMC9635266/ /pubmed/36337522 http://dx.doi.org/10.3389/fpsyg.2022.999396 Text en Copyright © 2022 Mankovich, Blume, Wittke, Mastergeorge, Paxton and Naigles. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Mankovich, Amanda Blume, Jessica Wittke, Kacie Mastergeorge, Ann M. Paxton, Alexandra Naigles, Letitia R. Say that again: Quantifying patterns of production for children with autism using recurrence analysis |
title | Say that again: Quantifying patterns of production for children with autism using recurrence analysis |
title_full | Say that again: Quantifying patterns of production for children with autism using recurrence analysis |
title_fullStr | Say that again: Quantifying patterns of production for children with autism using recurrence analysis |
title_full_unstemmed | Say that again: Quantifying patterns of production for children with autism using recurrence analysis |
title_short | Say that again: Quantifying patterns of production for children with autism using recurrence analysis |
title_sort | say that again: quantifying patterns of production for children with autism using recurrence analysis |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635266/ https://www.ncbi.nlm.nih.gov/pubmed/36337522 http://dx.doi.org/10.3389/fpsyg.2022.999396 |
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