A comparison of single-trial EEG classification and EEG-informed fMRI across three MR compatible EEG recording systems
This work addresses artifact challenges in multimodal brain imaging for neuroscience researchers, but it is incremental as it compares existing systems without introducing new methods.
The study compared three MR-compatible EEG recording systems for simultaneous EEG-fMRI, finding tradeoffs in setup ease and classification accuracy, with reference electrodes improving accuracy but not pulse artifact subtraction or reference layer adaptive filtering.
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).