Back to Search
Start Over
The Processing of Audiovisual Speech Is Linked with Vocabulary in Autistic and Nonautistic Children: An ERP Study.
- Source :
-
Brain sciences [Brain Sci] 2023 Jul 08; Vol. 13 (7). Date of Electronic Publication: 2023 Jul 08. - Publication Year :
- 2023
-
Abstract
- Explaining individual differences in vocabulary in autism is critical, as understanding and using words to communicate are key predictors of long-term outcomes for autistic individuals. Differences in audiovisual speech processing may explain variability in vocabulary in autism. The efficiency of audiovisual speech processing can be indexed via amplitude suppression, wherein the amplitude of the event-related potential (ERP) is reduced at the P2 component in response to audiovisual speech compared to auditory-only speech. This study used electroencephalography (EEG) to measure P2 amplitudes in response to auditory-only and audiovisual speech and norm-referenced, standardized assessments to measure vocabulary in 25 autistic and 25 nonautistic children to determine whether amplitude suppression (a) differs or (b) explains variability in vocabulary in autistic and nonautistic children. A series of regression analyses evaluated associations between amplitude suppression and vocabulary scores. Both groups demonstrated P2 amplitude suppression, on average, in response to audiovisual speech relative to auditory-only speech. Between-group differences in mean amplitude suppression were nonsignificant. Individual differences in amplitude suppression were positively associated with expressive vocabulary through receptive vocabulary, as evidenced by a significant indirect effect observed across groups. The results suggest that efficiency of audiovisual speech processing may explain variance in vocabulary in autism.
Details
- Language :
- English
- ISSN :
- 2076-3425
- Volume :
- 13
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Brain sciences
- Publication Type :
- Academic Journal
- Accession number :
- 37508976
- Full Text :
- https://doi.org/10.3390/brainsci13071043