Parental Language Input Predicts Neuroscillatory Patterns Associated with Language Development in Toddlers at Risk of Autism

Rachel R. Romeo, Boin Choi, Laurel J. Gabard-Durnam, Carol L. Wilkinson, April R. Levin, Meredith L. Rowe, Helen Tager-Flusberg, Charles A. Nelson

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

In this study we investigated the impact of parental language input on language development and associated neuroscillatory patterns in toddlers at risk of Autism Spectrum Disorder (ASD). Forty-six mother-toddler dyads at either high (n = 22) or low (n = 24) familial risk of ASD completed a longitudinal, prospective study including free-play, resting electroencephalography, and standardized language assessments. Input quantity/quality at 18 months positively predicted expressive language at 24 months, and relationships were stronger for high-risk toddlers. Moderated mediations revealed that input-language relationships were explained by 24-month frontal and temporal gamma power (30–50 Hz) for high-risk toddlers who would later develop ASD. Results suggest that high-risk toddlers may be cognitively and neurally more sensitive to their language environments, which has implications for early intervention.

Original languageEnglish
Pages (from-to)2717-2731
Number of pages15
JournalJournal of Autism and Developmental Disorders
Volume52
Issue number6
DOIs
StatePublished - Jun 2022

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Autism
  • Early experience
  • EEG
  • Language development
  • Language input

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