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Cortical tracking of lexical speech units in a multi-talker background is immature in school-aged children

Authors :
Maxime Niesen
Mathieu Bourguignon
Julie Bertels
Marc Vander Ghinst
Vincent Wens
Serge Goldman
Xavier De Tiège
Source :
NeuroImage, Vol 265, Iss , Pp 119770- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Children have more difficulty perceiving speech in noise than adults. Whether this difficulty relates to an immature processing of prosodic or linguistic elements of the attended speech is still unclear. To address the impact of noise on linguistic processing per se, we assessed how babble noise impacts the cortical tracking of intelligible speech devoid of prosody in school-aged children and adults.Twenty adults and twenty children (7-9 years) listened to synthesized French monosyllabic words presented at 2.5 Hz, either randomly or in 4-word hierarchical structures wherein 2 words formed a phrase at 1.25 Hz, and 2 phrases formed a sentence at 0.625 Hz, with or without babble noise. Neuromagnetic responses to words, phrases and sentences were identified and source-localized.Children and adults displayed significant cortical tracking of words in all conditions, and of phrases and sentences only when words formed meaningful sentences. In children compared with adults, the cortical tracking was lower for all linguistic units in conditions without noise. In the presence of noise, the cortical tracking was similarly reduced for sentence units in both groups, but remained stable for phrase units. Critically, when there was noise, adults increased the cortical tracking of monosyllabic words in the inferior frontal gyri and supratemporal auditory cortices but children did not.This study demonstrates that the difficulties of school-aged children in understanding speech in a multi-talker background might be partly due to an immature tracking of lexical but not supra-lexical linguistic units.

Details

Language :
English
ISSN :
10959572
Volume :
265
Issue :
119770-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.185f8c14171640f5ba4c841b5201ea6e
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2022.119770