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    block this user Alexander Shackman

    Post Doctorate

    UW-Madison
    University of Wisconsin-Madison

    Validation of regression-based myogenic correction techniques for scalp and source-localized EEG.

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    EEG and EEG source-estimation are susceptible to electromyographic artifacts (EMG) generated by the cranial muscles. EMG can mask genuine effects or masquerade as a legitimate effect-even in low frequencies, such as alpha (8-13 Hz). Although regression-based correction has been used previously, only cursory attempts at validation exist, and the utility for source-localized data is unknown. To address this, EEG was recorded from 17 participants while neurogenic and myogenic activity were factorially varied. We assessed the sensitivity and specificity of four regression-based techniques: between-subjects, between-subjects using difference-scores, within-subjects condition-wise, and within-subject epoch-wise on the scalp and in data modeled using the LORETA algorithm. Although within-subject epoch-wise showed superior performance on the scalp, no technique succeeded in the source-space. Aside from validating the novel epoch-wise methods on the scalp, we highlight methods requiring further development.

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    Description

    Title : Validation of regression-based myogenic correction techniques for scalp and source-localized EEG.
    Author(s) : Brenton W McMenamin, Alexander J Shackman, Jeffrey S Maxwell, Lawrence L Greischar, Richard J Davidson
    Abstract : EEG and EEG source-estimation are susceptible to electromyographic artifacts (EMG) generated by the cranial muscles. EMG can mask genuine effects or masquerade as a legitimate effect-even in low frequencies, such as alpha (8-13 Hz). Although regression-based correction has been used previously, only cursory attempts at validation exist, and the utility for source-localized data is unknown. To address this, EEG was recorded from 17 participants while neurogenic and myogenic activity were factorially varied. We assessed the sensitivity and specificity of four regression-based techniques: between-subjects, between-subjects using difference-scores, within-subjects condition-wise, and within-subject epoch-wise on the scalp and in data modeled using the LORETA algorithm. Although within-subject epoch-wise showed superior performance on the scalp, no technique succeeded in the source-space. Aside from validating the novel epoch-wise methods on the scalp, we highlight methods requiring further development.
    Keywords : adult, algorithms, electroencephalography, electroencephalography methods, electroencephalography standards, electromyography, female, humans, male, muscle, skeletal, skeletal physiology, regression analysis, reproducibility results, scalp, young adult

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2009

    Affiliations UW-Madison
    Journal : Psychophysiology
    Volume : 46
    Issue : 3
    Pages : 578-592
    Url : http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2677703&tool=pmcentrez&rendertype=abstract

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