Exploring the origins of EEG motion artefacts during simultaneous fMRI acquisition: Implications for motion artefact correction

NeuroImage
Glyn S SpencerKaren J Mullinger

Abstract

Motion artefacts (MAs) are induced within EEG data collected simultaneously with fMRI when the subject's head rotates relative to the magnetic field. The effects of these artefacts have generally been ameliorated by removing periods of data during which large artefact voltages appear in the EEG traces. However, even when combined with other standard post-processing methods, this strategy does not remove smaller MAs which can dominate the neuronal signals of interest. A number of methods are therefore being developed to characterise the MA by measuring reference signals and then using these in artefact correction. These methods generally assume that the head and EEG cap, plus any attached sensors, form a rigid body which can be characterised by a standard set of six motion parameters. Here we investigate the motion of the head/EEG cap system to provide a better understanding of MAs. We focus on the reference layer artefact subtraction (RLAS) approach, as this allows measurement of a separate reference signal for each electrode that is being used to measure brain activity. Through a series of experiments on phantoms and subjects, we find that movement of the EEG cap relative to the phantom and skin on the forehead is relatively s...Continue Reading

Citations

Jun 20, 2019·Journal of Neural Engineering·Shuoyue ZhangPierre LeVan

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Methods Mentioned

BETA
RLAS
RLAS cap

Software Mentioned

MATLAB
BrainVision Analyzer
MPT
RLAS

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