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Dataset Information

Dynamics of Functional Networks for Syllable and Word-Level Processing.


ABSTRACT: Speech comprehension requires the ability to temporally segment the acoustic input for higher-level linguistic analysis. Oscillation-based approaches suggest that low-frequency auditory cortex oscillations track syllable-sized acoustic information and therefore emphasize the relevance of syllabic-level acoustic processing for speech segmentation. How syllabic processing interacts with higher levels of speech processing, beyond segmentation, including the anatomical and neurophysiological characteristics of the networks involved, is debated. In two MEG experiments, we investigate lexical and sublexical word-level processing and the interactions with (acoustic) syllable processing using a frequency-tagging paradigm. Participants listened to disyllabic words presented at a rate of 4 syllables

SUBMITTER: Rimmele JM 

PROVIDER: S-EPMC10205074 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature