Electromyogenic Artifacts and Electroencephalographic Inferences |
| |
Authors: | Alexander J Shackman Brenton W McMenamin Heleen A Slagter Jeffrey S Maxwell Lawrence L Greischar Richard J Davidson |
| |
Institution: | (1) Laboratory for Affective Neuroscience and Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, W.J. Brogden Hall, 1202 West Johnson Street, Madison, 53706, WI, USA;(2) Center for Cognitive Sciences, University of Minnesota, Twin Cities, MN, USA;(3) U.S. Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, MD, USA;(4) Health Emotions Research Institute, University of Wisconsin, Madison, WI, USA |
| |
Abstract: | Muscle or electromyogenic (EMG) artifact poses a serious risk to inferential validity for any electroencephalography (EEG)
investigation in the frequency-domain owing to its high amplitude, broad spectrum, and sensitivity to psychological processes
of interest. Even weak EMG is detectable across the scalp in frequencies as low as the alpha band. Given these hazards, there
is substantial interest in developing EMG correction tools. Unfortunately, most published techniques are subjected to only
modest validation attempts, rendering their utility questionable. We review recent work by our laboratory quantitatively investigating
the validity of two popular EMG correction techniques, one using the general linear model (GLM), the other using temporal
independent component analysis (ICA). We show that intra-individual GLM-based methods represent a sensitive and specific tool
for correcting on-going or induced, but not evoked (phase-locked) or source-localized, spectral changes. Preliminary work
with ICA shows that it may not represent a panacea for EMG contamination, although further scrutiny is strongly warranted.
We conclude by describing emerging methodological trends in this area that are likely to have substantial benefits for basic
and applied EEG research.
This article is one of five on the “Special Topic: Discussing Gamma” in issue 21(3) of Brain Topography. |
| |
Keywords: | EMG EEG ERSP ERS/ERD LORETA source localization Review |
本文献已被 SpringerLink 等数据库收录! |
|