EEG source imaging based on spatial and temporal graph structures

Jing Qin, Feng Liu, Shouyi Wang, Jay Rosenberger

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Scopus citations

    Abstract

    EEG serves as an essential tool for brain source localization due to its high temporal resolution. However, the inference of brain activities from the EEG data is, in general, a challenging ill-posed inverse problem. To better retrieve task related discriminative source patches from strong spontaneous background signals, we propose a novel EEG source imaging model based on spatial and temporal graph structures. In particular, graph fractional-order total variation (gFOTV) is used to enhance spatial smoothness, and the label information of brain state is enclosed in a temporal graph regularization term to guarantee intra-class consistency of estimated sources. The proposed model is efficiently solved by the alternating direction method of multipliers (ADMM). A two-stage algorithm is proposed as well to further improve the result. Numerical experiments have shown that our method localizes source extents more effectively than the benchmark methods.

    Original languageEnglish
    Title of host publicationProceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781538618417
    DOIs
    StatePublished - 2 Jul 2017
    Event7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017 - Montreal, Canada
    Duration: 28 Nov 20171 Dec 2017

    Publication series

    NameProceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
    Volume2018-January

    Conference

    Conference7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
    Country/TerritoryCanada
    CityMontreal
    Period28/11/171/12/17

    Keywords

    • Alternating Direction Method of Multiplier (ADMM)
    • EEG Source Imaging
    • Graph Fractional-Order Total Variation
    • Graph Regularization

    Fingerprint

    Dive into the research topics of 'EEG source imaging based on spatial and temporal graph structures'. Together they form a unique fingerprint.

    Cite this