Emergence of the cortical encoding of phonetic features in the first year of life.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
01 Dec 2023
01 Dec 2023
Historique:
received:
19
10
2022
accepted:
10
11
2023
medline:
4
12
2023
pubmed:
2
12
2023
entrez:
1
12
2023
Statut:
epublish
Résumé
Even prior to producing their first words, infants are developing a sophisticated speech processing system, with robust word recognition present by 4-6 months of age. These emergent linguistic skills, observed with behavioural investigations, are likely to rely on increasingly sophisticated neural underpinnings. The infant brain is known to robustly track the speech envelope, however previous cortical tracking studies were unable to demonstrate the presence of phonetic feature encoding. Here we utilise temporal response functions computed from electrophysiological responses to nursery rhymes to investigate the cortical encoding of phonetic features in a longitudinal cohort of infants when aged 4, 7 and 11 months, as well as adults. The analyses reveal an increasingly detailed and acoustically invariant phonetic encoding emerging over the first year of life, providing neurophysiological evidence that the pre-verbal human cortex learns phonetic categories. By contrast, we found no credible evidence for age-related increases in cortical tracking of the acoustic spectrogram.
Identifiants
pubmed: 38040720
doi: 10.1038/s41467-023-43490-x
pii: 10.1038/s41467-023-43490-x
pmc: PMC10692113
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
7789Subventions
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : 694786
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : 787836
Organisme : Science Foundation Ireland (SFI)
ID : 13/RC/2106_P2
Organisme : Science Foundation Ireland (SFI)
ID : 15/CDA/3316
Informations de copyright
© 2023. The Author(s).
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