Characterizing neural entrainment to hierarchical linguistic units using electroencephalography (EEG)

Nai Ding, Lucia Melloni, Aotian Yang, Yu Wang, Wen Zhang, David Poeppel

Research output: Contribution to journalArticlepeer-review

Abstract

To understand speech, listeners have to combine the words they hear into phrases and sentences. Recent magnetoencephalography (MEG) and electrocorticography (ECoG) studies show that cortical activity is concurrently entrained/synchronized to the rhythms of multiple levels of linguistic units including words, phrases, and sentences. Here we investigate whether this phenomenon can be observed using electroencephalography (EEG), a technique that is more widely available than MEG and ECoG. We show that the EEG responses concurrently track the rhythms of hierarchical linguistic units such as syllables/words, phrases, and sentences. The strength of the sentential-rate response correlates with how well each subject can detect random words embedded in a sequence of sentences. In contrast, only a syllabic-rate response is observed for an unintelligible control stimulus. In sum, EEG provides a useful tool to characterize neural encoding of hierarchical linguistic units, potentially even in individual participants.

Original languageEnglish (US)
Article number481
JournalFrontiers in Human Neuroscience
Volume11
DOIs
StatePublished - Sep 28 2017

Keywords

  • EEG
  • Entrainment
  • Hierarchical structures
  • Phrase
  • Speech

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Neurology
  • Psychiatry and Mental health
  • Biological Psychiatry
  • Behavioral Neuroscience

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