Hippocampal and auditory contributions to speech segmentation

Autor: Neus Ramos-Escobar, Manuel Mercier, Agnès Trébuchon-Fonséca, Antoni Rodriguez-Fornells, Clément François, Daniele Schön
Přispěvatelé: University of Barcelona, Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Parole et Langage (LPL), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), ANR-16-CONV-0002,ILCB,ILCB: Institute of Language Communication and the Brain(2016), ANR-16-CE28-0012,RALP,Effets de la stimulation rythmique sur le traitement du langage chez le sujet sain et chez l'enfant avec troubles du langage(2016)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Cortex
Cortex, 2022, ⟨10.1016/j.cortex.2022.01.017⟩
Dipòsit Digital de la UB
Universidad de Barcelona
ISSN: 0010-9452
1973-8102
DOI: 10.1016/j.cortex.2022.01.017⟩
Popis: Statistical learning has been proposed as a mechanism to structure and segment the continuous flow of information in several sensory modalities. Previous studies proposed that the medial temporal lobe, and in particular the hippocampus, may be crucial to parse the stream in the visual modality. However, the involvement of the hippocampus in auditory statistical learning, and specifically in speech segmentation is less clear. To explore the role of the hippocampus in speech segmentation based on statistical learning, we exposed seven pharmaco-resistant temporal lobe epilepsy patients to a continuous stream of trisyllabic pseudowords and recorded intracranial stereotaxic electro-encephalography (sEEG). We used frequency-tagging analysis to quantify neuronal synchronization of the hippocampus and auditory regions to the temporal structure of words and syllables of the stream. Results show that while auditory regions highly respond to syllable frequency, the hippocampus responds mostly to word frequency. These findings provide direct evidence of the involvement of the hippocampus in speech segmentation process and suggest a hierarchical organization of auditory information during speech processing.
Cortex, Elsevier, 2022
Databáze: OpenAIRE