Statistical control of artifacts in dense array EEG/MEG studies

• DOI: 10.1111/1469-8986.3740523
• Publication Date: 2004-12-28T14:39:21Z
• Authors: Markus Junghöfer; Thomas Elbert; Don M. Tucker; Brigitte Rockstroh
• Keywords: Artifact (error); Magnetoencephalography; Interpolation; SIGNAL (programming language)

With the advent of dense sensor arrays (64-256 channels) in electroencephalography and magnetoencephalography studies, probability increases that some recording channels are contaminated by artifact. If all required to be artifact free, number acceptable trials may unacceptably low. Precise screening is necessary for accurate spatial mapping, current density measures, source analysis, temporal analysis based on single-trial methods. presents a problems given large datasets. We propose procedure statistical correction artifacts array studies (SCADS), which (1) detects individual channel using reference, (2) global average (3) replaces artifact-contaminated sensors with spherical interpolation statistically weighted basis sensors, (4) computes variance signal across document stability averaged waveform. Examples from 128-channel recordings numerical simulations illustrate importance careful review avoidance errors.