Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space

Feng Liu, Emily P. Stephen, Michael J. Prerau, Patrick L. Purdon

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

    8 Scopus citations

    Abstract

    Understanding how different brain areas interact to generate complex behavior is a primary goal of neuroscience research. One approach, functional connectivity analysis, aims to characterize the connectivity patterns within brain networks. In this paper, we address the problem of discriminative connectivity, i.e. determining the differences in network structure under different experimental conditions. We introduce a novel model called Sparse Multi-task Inverse Covariance Estimation (SMICE) which is capable of estimating a common connectivity network as well as discriminative networks across different tasks. We apply the method to EEG signals after solving the inverse problem of source localization, yielding networks defined on the cortical surface. We propose an efficient algorithm based on the Alternating Direction Method of Multipliers (ADMM) to solve SMICE. We apply our newly developed framework to find common and discriminative connectivity patterns for α-oscillations during the Sleep Onset Process (SOP) and during Rapid Eye Movement (REM) sleep. Even though both stages exhibit a similar α-oscillations, we show that the underlying networks are distinct.

    Original languageEnglish
    Title of host publication9th International IEEE EMBS Conference on Neural Engineering, NER 2019
    Pages299-302
    Number of pages4
    ISBN (Electronic)9781538679210
    DOIs
    StatePublished - 16 May 2019
    Event9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States
    Duration: 20 Mar 201923 Mar 2019

    Publication series

    NameInternational IEEE/EMBS Conference on Neural Engineering, NER
    Volume2019-March
    ISSN (Print)1948-3546
    ISSN (Electronic)1948-3554

    Conference

    Conference9th International IEEE EMBS Conference on Neural Engineering, NER 2019
    Country/TerritoryUnited States
    CitySan Francisco
    Period20/03/1923/03/19

    Keywords

    • Alternating Direction Method of Multipliers (ADMM)
    • EEG Source Imaging
    • Inverse Covariance Estimation
    • Sleeping α-Burst

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