Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/218802
Title: Longitudinal trajectories of the neural encoding mechanisms of speech-sound features during the first year of life
Author: Puertollano, Marta
Ribas-Prats, Teresa
Gorina-Careta, Natàlia
Ijjou-Kadiri, Siham
Arenillas-Alcón, Sonia
Mondéjar-Segovia, Alejandro
Gómez Roig, Ma. Dolores
Escera i Micó, Carles
Keywords: Adquisició del llenguatge
Neurologia dels nadons
Parla
Language acquisition
Neonatal neurology
Speech
Issue Date: Nov-2024
Publisher: Elsevier
Abstract: Infants quickly recognize the sounds of their mother language, perceiving the spectrotemporal acoustic features of speech. However, the underlying neural machinery remains unclear. We used an auditory evoked potential termed frequency-following response (FFR) to unravel the neural encoding maturation for two speech sound characteristics: voice pitch and temporal fine structure. 37 healthy-term neonates were tested at birth and retested at the ages of six and twelve months. Results revealed a reduction in neural phase-locking onset to the stimulus envelope from birth to six months, stabilizing by twelve months. While neural encoding of voice pitch remained consistent across ages, temporal fine structure encoding matured rapidly from birth to six months, without further improvement from six to twelve months. Results highlight the critical importance of the first six months of life in the maturation of neural encoding mechanisms that are crucial for phoneme discrimination during early language acquisition.
Note: Reproducció del document publicat a: https://doi.org/10.1016/j.bandl.2024.105474
It is part of: Brain and Language, 2024, vol. 258: 105474
URI: https://hdl.handle.net/2445/218802
Related resource: https://doi.org/10.1016/j.bandl.2024.105474
ISSN: 0093-934X
Appears in Collections:Articles publicats en revistes (Ciències Clíniques)

Files in This Item:
File Description SizeFormat 
880373.pdf2.92 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons