Literature DB >> 31879748

[The neural encoding of continuous speech - recent advances in EEG and MEG studies].

Xun-Yi Pan1, Jia-Jie Zou2, Pei-Qing Jin2, Nai Ding3.   

Abstract

Speech comprehension is a central cognitive function of the human brain. In cognitive neuroscience, a fundamental question is to understand how neural activity encodes the acoustic properties of a continuous speech stream and resolves multiple levels of linguistic structures at the same time. This paper reviews the recently developed research paradigms that employ electroencephalography (EEG) or magnetoencephalography (MEG) to capture neural tracking of acoustic features or linguistic structures of continuous speech. This review focuses on two questions in speech processing: (1) The encoding of continuously changing acoustic properties of speech; (2) The representation of hierarchical linguistic units, including syllables, words, phrases and sentences. Studies have found that the low-frequency cortical activity tracks the speech envelope. In addition, the cortical activities on different time scales track multiple levels of linguistic units and constitute a representation of hierarchically organized linguistic units. The article reviewed these studies, which provided new insights into the processes of continuous speech in the human brain.

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Year:  2019        PMID: 31879748

Source DB:  PubMed          Journal:  Sheng Li Xue Bao        ISSN: 0371-0874


  1 in total

1.  Detection of Brain Network Communities During Natural Speech Comprehension From Functionally Aligned EEG Sources.

Authors:  Di Zhou; Gaoyan Zhang; Jianwu Dang; Masashi Unoki; Xin Liu
Journal:  Front Comput Neurosci       Date:  2022-07-07       Impact factor: 3.387

  1 in total

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