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

Ding, N., Melloni, L., Yang, A., Wang, Y., Zhang, W., & Poeppel, D. (2017). Characterizing neural entrainment to hierarchical linguistic units using electroencephalography (EEG). Frontiers in Human Neuroscience, 11: 481. doi:10.3389/fnhum.2017.00481.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-1073-F Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-1074-D
Genre: Journal Article

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Melloni, Poeppel EEG.pdf (Publisher version), 2MB
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Melloni, Poeppel EEG.pdf
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© 2017 Ding, Melloni, Yang, Wang, Zhang and Poeppel

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 Creators:
Ding, Nai, Author
Melloni, Lucia1, 2, 3, Author              
Yang, Aotian, Author
Wang, Yu, Author
Zhang, Wen, Author
Poeppel, David1, 4, Author              
Affiliations:
1Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421697              
2Department of Neurology, New York University Langone Medical Center, New York, NY, United States , ou_persistent22              
3Department of Neurophysiology, Max-Planck Institute for Brain Research, Frankfurt, Germany, ou_persistent22              
4Department of Psychology, New York University, New York, NY, United States, ou_persistent22              

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Free keywords: EEG; entrainment; speech; phrase; hierarchical structures
 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.

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Language(s): eng - English
 Dates: 2017-09-28
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.3389/fnhum.2017.00481
 Degree: -

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Title: Frontiers in Human Neuroscience
  Abbreviation : Front Hum Neurosci
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 11 Sequence Number: 481 Start / End Page: - Identifier: ISSN: 1662-5161
CoNE: /journals/resource/1662-5161