Motion P3 demonstrates neural nature of motion ERPs

Hugh Nolan, John S. Butler, Robert Whelan, John J. Foxe, Heinrich H. Bulthoff, Richard B. Reilly

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

    5 Citations (Scopus)

    Abstract

    The technical challenges of recording electroencephalographic (EEG) data during motion are considerable, but would enable the possibility of investigating neural function associated with balance, motor function and motion perception. The challenges include finding a reliable method of motion stimulus reproduction, removing artifacts, and ensuring that the recordings retain sufficient EEG signal for proper interpretation. This study details the use of the P3 waveform to validate the concept of motion-based EEG data, and discusses some potential future uses in experimental and clinical settings.

    Original languageEnglish
    Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
    Pages3884-3887
    Number of pages4
    DOIs
    Publication statusPublished - 2011
    Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
    Duration: 2011 Aug 302011 Sept 3

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    ISSN (Print)1557-170X

    Other

    Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
    Country/TerritoryUnited States
    CityBoston, MA
    Period11/8/3011/9/3

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

    Fingerprint

    Dive into the research topics of 'Motion P3 demonstrates neural nature of motion ERPs'. Together they form a unique fingerprint.

    Cite this