Back to Search Start Over

Neurodevelopmental oscillatory basis of speech processing in noise.

Authors :
Bertels, Julie
Niesen, Maxime
Destoky, Florian
Coolen, Tim
Vander Ghinst, Marc
Wens, Vincent
Rovai, Antonin
Trotta, Nicola
Baart, Martijn
Molinaro, Nicola
De Tiège, Xavier
Bourguignon, Mathieu
Source :
Developmental Cognitive Neuroscience; Feb2023, Vol. 59, pN.PAG-N.PAG, 1p
Publication Year :
2023

Abstract

Humans' extraordinary ability to understand speech in noise relies on multiple processes that develop with age. Using magnetoencephalography (MEG), we characterize the underlying neuromaturational basis by quantifying how cortical oscillations in 144 participants (aged 5–27 years) track phrasal and syllabic structures in connected speech mixed with different types of noise. While the extraction of prosodic cues from clear speech was stable during development, its maintenance in a multi-talker background matured rapidly up to age 9 and was associated with speech comprehension. Furthermore, while the extraction of subtler information provided by syllables matured at age 9, its maintenance in noisy backgrounds progressively matured until adulthood. Altogether, these results highlight distinct behaviorally relevant maturational trajectories for the neuronal signatures of speech perception. In accordance with grain-size proposals, neuromaturational milestones are reached increasingly late for linguistic units of decreasing size, with further delays incurred by noise. • The maturation of speech processing was assessed with the cortical tracking of speech. • The cortical processing of large linguistic units matures before that of smaller ones. • Dealing optimally with adverse noise conditions requires further neuronal maturation. • Children's brain leverages visual speech to track auditory speech early on. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18789293
Volume :
59
Database :
Supplemental Index
Journal :
Developmental Cognitive Neuroscience
Publication Type :
Academic Journal
Accession number :
161343899
Full Text :
https://doi.org/10.1016/j.dcn.2022.101181