Neural Entrainment to Rhythms of Imagined Syllables

Changjie Pan, Haipeng Liu, Dingchang Zheng, Fei Chen

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    Abstract

    Imagined speech based brain-computer interface (BCI) is of great interest due to its efficiency and user-friendliness for patients with speech impairment. The aim of this work was to study whether different rhythms of imagined syllables could elicit corresponding frequency components on EEG amplitude spectra. Seventeen participants were recruited to take part in the experiments, and performed a control task and four imagery tasks with the presence of periodic pure tones while their EEG signals were recorded. The four imagery tasks included imagining the syllable' /a/' every time, every two times, and every three times the periodic pure tones occurred, and imagined twice every three times the periodic pure tones occurred. The experimental results analyzed by Fourier transform indicated that neural entrainment to rhythmic speech imagery can be notably reflected on the EEG amplitude spectra. Clinical Relevance- This work manifested that different rhythms of imagined syllables could be identified from EEG amplitude spectra, which may be beneficial to the development of imagined speech based BCIs.

    Original languageEnglish
    Title of host publication2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society 
    PublisherIEEE
    Pages4040-4043
    Number of pages4
    Volume2022
    ISBN (Electronic)978-1-7281-2782-8
    ISBN (Print)978-1-7281-2783-5
    DOIs
    Publication statusPublished - 8 Sept 2022
    Event44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. - Glasgow, United Kingdom
    Duration: 11 Jul 202215 Jul 2022

    Publication series

    NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society.
    PublisherIEEE
    Volume2022
    ISSN (Print)2375-7477
    ISSN (Electronic)2694-0604

    Conference

    Conference44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
    Country/TerritoryUnited Kingdom
    CityGlasgow
    Period11/07/2215/07/22

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    Keywords

    • Brain-Computer Interfaces
    • Electroencephalography/methods
    • Humans
    • Imagination
    • Speech

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