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Infants’ neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders
The ‘sensitive period’ for phonetic learning posits that between 6 and 12 months of age, infants’ discrimination of native and nonnative speech sounds diverge. Individual differences in this dynamic processing of speech have been shown to predict later language acquisition up to 30 months of age, us...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047161/ https://www.ncbi.nlm.nih.gov/pubmed/33823366 http://dx.doi.org/10.1016/j.dcn.2021.100949 |
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author | Zhao, T. Christina Boorom, Olivia Kuhl, Patricia K. Gordon, Reyna |
author_facet | Zhao, T. Christina Boorom, Olivia Kuhl, Patricia K. Gordon, Reyna |
author_sort | Zhao, T. Christina |
collection | PubMed |
description | The ‘sensitive period’ for phonetic learning posits that between 6 and 12 months of age, infants’ discrimination of native and nonnative speech sounds diverge. Individual differences in this dynamic processing of speech have been shown to predict later language acquisition up to 30 months of age, using parental surveys. Yet, it is unclear whether infant speech discrimination could predict longer-term language outcome and risk for developmental speech-language disorders, which affect up to 16 % of the population. The current study reports a prospective prediction of speech-language skills at a much later age—6 years-old—from the same children’s nonnative speech discrimination at 11 months-old, indexed by MEG mismatch responses. Children’s speech-language skills at 6 were comprehensively evaluated by a speech-language pathologist in two ways: individual differences in spoken grammar, and the presence versus absence of speech-language disorders. Results showed that the prefrontal MEG mismatch response at 11 months not only significantly predicted individual differences in spoken grammar skills at 6 years, but also accurately identified the presence versus absence of speech-language disorders, using a machine-learning classification. These results represent new evidence that advance our theoretical understanding of the neurodevelopmental trajectory of language acquisition and early risk factors for developmental speech-language disorders. |
format | Online Article Text |
id | pubmed-8047161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-80471612021-04-16 Infants’ neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders Zhao, T. Christina Boorom, Olivia Kuhl, Patricia K. Gordon, Reyna Dev Cogn Neurosci Original Research The ‘sensitive period’ for phonetic learning posits that between 6 and 12 months of age, infants’ discrimination of native and nonnative speech sounds diverge. Individual differences in this dynamic processing of speech have been shown to predict later language acquisition up to 30 months of age, using parental surveys. Yet, it is unclear whether infant speech discrimination could predict longer-term language outcome and risk for developmental speech-language disorders, which affect up to 16 % of the population. The current study reports a prospective prediction of speech-language skills at a much later age—6 years-old—from the same children’s nonnative speech discrimination at 11 months-old, indexed by MEG mismatch responses. Children’s speech-language skills at 6 were comprehensively evaluated by a speech-language pathologist in two ways: individual differences in spoken grammar, and the presence versus absence of speech-language disorders. Results showed that the prefrontal MEG mismatch response at 11 months not only significantly predicted individual differences in spoken grammar skills at 6 years, but also accurately identified the presence versus absence of speech-language disorders, using a machine-learning classification. These results represent new evidence that advance our theoretical understanding of the neurodevelopmental trajectory of language acquisition and early risk factors for developmental speech-language disorders. Elsevier 2021-03-31 /pmc/articles/PMC8047161/ /pubmed/33823366 http://dx.doi.org/10.1016/j.dcn.2021.100949 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Zhao, T. Christina Boorom, Olivia Kuhl, Patricia K. Gordon, Reyna Infants’ neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders |
title | Infants’ neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders |
title_full | Infants’ neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders |
title_fullStr | Infants’ neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders |
title_full_unstemmed | Infants’ neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders |
title_short | Infants’ neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders |
title_sort | infants’ neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047161/ https://www.ncbi.nlm.nih.gov/pubmed/33823366 http://dx.doi.org/10.1016/j.dcn.2021.100949 |
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