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

@article{citeulike:4292633, 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 effect2014even in low frequencies, such as alpha (8201313 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.}, address = {University of MinnesotaTwin Cities, MinneapolisSaint Paul, Minnesota, USA; Laboratory for Affective Neuroscience, Waisman Laboratory for Brain Imaging and Behavior, University of WisconsinMadison, Madison, Wisconsin, USA; U.S. Army Research Laboratory, Human Research \& Engineering Directorate, Aberdeen, Maryland, USA}, author = {Mcmenamin, Brenton W. and Shackman, Alexander J. and Maxwell, Jeffrey S. and Greischar, Lawrence L. and Davidson, Richard J.}, citeulike-article-id = {4292633}, citeulike-linkout-0 = {http://dx.doi.org/10.1111/j.1469-8986.2009.00787.x}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/122240153/ABSTRACT}, doi = {10.1111/j.1469-8986.2009.00787.x}, journal = {Psychophysiology}, keywords = {artefact, eeg, loreta, method}, number = {3}, pages = {578--592}, posted-at = {2009-04-08 22:13:51}, priority = {4}, title = {Validation of regression-based myogenic correction techniques for scalp and source-localized EEG}, url = {http://dx.doi.org/10.1111/j.1469-8986.2009.00787.x}, volume = {46}, year = {2009} }

TY - JOUR ID - citeulike:4292633 L3 - citeulike-article-id:4292633 N2 - 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 effect2014even in low frequencies, such as alpha (8201313 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. IS - 3 JF - Psychophysiology AD - University of MinnesotaTwin Cities, MinneapolisSaint Paul, Minnesota, USA; Laboratory for Affective Neuroscience, Waisman Laboratory for Brain Imaging and Behavior, University of WisconsinMadison, Madison, Wisconsin, USA; U.S. Army Research Laboratory, Human Research & Engineering Directorate, Aberdeen, Maryland, USA EP - 592 TI - Validation of regression-based myogenic correction techniques for scalp and source-localized EEG VL - 46 SP - 578 KW - artefact KW - eeg KW - loreta KW - method AU - Mcmenamin, Brenton AU - Shackman, Alexander AU - Maxwell, Jeffrey AU - Greischar, Lawrence AU - Davidson, Richard PY - 2009/// UR - http://dx.doi.org/10.1111/j.1469-8986.2009.00787.x ER -