Validation of a Low-Cost Mobile EEG Device for Studying Language-Related ERP Components

Abstract

InteraXon’s Muse 2 is a commercial EEG headband designed to provide neurofeedback during mindfulness exercises. The Muse’s low-cost, ease of use, and mobility provide an attractive alternative to the limitations associated with a traditional wired EEG system. The goal of this study was to validate the Muse for conducting language ERP (event-related potential) research using a Semantic Relatedness Judgment Task (SRJT) and a Stroop Task. The Muse measured distinct N1, P2, and N400 components in both tasks. Monte Carlo permutation tests showed significant differences between Match and Mismatch conditions in the SRJT but not the Stroop Task. These results indicate that the Muse can measure language-related ERPs in certain contexts and supports the implementation of the Muse headband for future ERP studies of language. Potential benefits of the Muse include increasing sample size and diversity and democratizing ERP research. Further research is needed to refine the parameters that determine the ideal range of use for the Muse EEG device in ERP studies.