A comparison of single-trial EEG classification and EEG-informed fMRI across three MR compatible EEG recording systems

TL;DR

This study compares three MR-compatible EEG systems for simultaneous EEG-fMRI recording, focusing on their artifact handling and single-trial classification accuracy, revealing tradeoffs in setup ease and performance.

Contribution

It provides a preliminary comparison of different EEG systems in concurrent EEG-fMRI, highlighting their respective advantages and limitations.

Findings

Reference electrodes improve classification accuracy.

Tradeoffs exist between setup ease and artifact removal methods.

Performance varies across different EEG recording systems.

Abstract

Simultaneously recorded electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can be used to non-invasively measure the spatiotemporal dynamics of the human brain. One challenge is dealing with the artifacts that each modality introduces into the other when the two are recorded concurrently, for example the ballistocardiogram (BCG). We conducted a preliminary comparison of three different MR compatible EEG recording systems and assessed their performance in terms of single-trial classification of the EEG when simultaneously collecting fMRI. We found tradeoffs across all three systems, for example varied ease of setup and improved classification accuracy with reference electrodes (REF) but not for pulse artifact subtraction (PAS) or reference layer adaptive filtering (RLAF).