Desynchronization of the mu oscillatory activity during motor imagery: A preliminary EEG-fMRI study

Hyun Chul Kim, Jong Hwan Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    The purpose of this study is to identify the correspondence between distinct brain oscillatory activity acquired from electroencephalography (EEG) and blood oxygenation level dependent signals obtained from functional magnetic resonance imaging (fMRI). In this preliminary study, the changes in the mu rhythmic power (8-13Hz) during motor imagery tasks in the EEG data simultaneously acquired with fMRI data were examined. The average mu powers during the left-hand (LH)/right-hand (RH) motor imagery tasks were separately estimated after removing dominant artifacts, such as gradient artifact, ballistocardiogram artifact, and helium-pump artifact. As a result, the relatively lower mu power of the contralateral motor area during LH/RH motor imagery tasks was observed compared to ipsilateral side. This observation indicates a functional signature for motor imagery tasks.

    Original languageEnglish
    Title of host publication3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781479974948
    DOIs
    Publication statusPublished - 2015 Mar 30
    Event2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of
    Duration: 2015 Jan 122015 Jan 14

    Publication series

    Name3rd International Winter Conference on Brain-Computer Interface, BCI 2015

    Other

    Other2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    Country/TerritoryKorea, Republic of
    CityGangwon-Do
    Period15/1/1215/1/14

    Bibliographical note

    Publisher Copyright:
    © 2015 IEEE.

    Keywords

    • Electroencephalography (EEG)
    • functional magnetic resonance imaging (fMRI)
    • motor imagery
    • mu rhythmic power
    • simultaneous EEG-fMRI

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Cognitive Neuroscience
    • Sensory Systems

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