Literature DB >> 29055058

The neural oscillations of speech processing and language comprehension: state of the art and emerging mechanisms.

Lars Meyer1.   

Abstract

Neural oscillations subserve a broad range of functions in speech processing and language comprehension. On the one hand, speech contains-somewhat-repetitive trains of air pressure bursts that occur at three dominant amplitude modulation frequencies, physically marking the linguistically meaningful progressions of phonemes, syllables and intonational phrase boundaries. To these acoustic events, neural oscillations of isomorphous operating frequencies are thought to synchronise, presumably resulting in an implicit temporal alignment of periods of neural excitability to linguistically meaningful spectral information on the three low-level linguistic description levels. On the other hand, speech is a carrier signal that codes for high-level linguistic meaning, such as syntactic structure and semantic information-which cannot be read from stimulus acoustics, but must be acquired during language acquisition and decoded for language comprehension. Neural oscillations subserve the processing of both syntactic structure and semantic information. Here, I synthesise a mapping from each linguistic processing domain to a unique set of subserving oscillatory mechanisms-the mapping is plausible given the role ascribed to different oscillatory mechanisms in different subfunctions of cortical information processing and faithful to the underlying electrophysiology. In sum, the present article provides an accessible and extensive review of the functional mechanisms that neural oscillations subserve in speech processing and language comprehension.
© 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Keywords:  chunking; entrainment; memory; predictive coding

Year:  2017        PMID: 29055058     DOI: 10.1111/ejn.13748

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  25 in total

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8.  An oscillating computational model can track pseudo-rhythmic speech by using linguistic predictions.

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10.  Functional brain plasticity during L1 training on complex sentences: Changes in gamma-band oscillatory activity.

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