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Evaluating the mobile MUSE EEG headband for studying resting state EEG and event-related potentials

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We examined whether and how tactile EEG experiments could be done through self-assessments by participants at home or through online experiments with consumer-grade mobile EEG devices. As a first step towards this aim, we performed a Flanker task in an online scenario with a MUSE headband and similarly a conventional lab experiment with a standard EEG device.Five undergraduate students participated in a visual flanker experiment and associated ERP components were recorded with either a standard 32-channel EEG System or a 4-channel MUSE EEG headband. In addition, we performed a 2-minutes resting state recording.Resting state brain oscillations measured with the Muse device revealed a similar pattern as with a standard EEG machine, however, strength of alpha oscillations was significantly reduced. For the Flanker task, in the Muse data, the stimulus-locked ERP components were less visible as compared to standard EEG, still the N200 was clearly expressed for the correct trials. Interestingly, in the incorrect trials, time-locked to the response there was the same negative Ne component visible as for the standard experiment. Our results reveal that the Muse device is suitable to obtain event-related potentials – even from interpolated electrode channels. Advanced preprocessing and artifact removal algorithms specifically targeting such devices with only a few and peripheral channels might help to better isolate ERP components of interest. It remains the challenge to develop devices and procedures for online tactile testing.
Center for Open Science
Title: Evaluating the mobile MUSE EEG headband for studying resting state EEG and event-related potentials
Description:
We examined whether and how tactile EEG experiments could be done through self-assessments by participants at home or through online experiments with consumer-grade mobile EEG devices.
As a first step towards this aim, we performed a Flanker task in an online scenario with a MUSE headband and similarly a conventional lab experiment with a standard EEG device.
Five undergraduate students participated in a visual flanker experiment and associated ERP components were recorded with either a standard 32-channel EEG System or a 4-channel MUSE EEG headband.
In addition, we performed a 2-minutes resting state recording.
Resting state brain oscillations measured with the Muse device revealed a similar pattern as with a standard EEG machine, however, strength of alpha oscillations was significantly reduced.
For the Flanker task, in the Muse data, the stimulus-locked ERP components were less visible as compared to standard EEG, still the N200 was clearly expressed for the correct trials.
Interestingly, in the incorrect trials, time-locked to the response there was the same negative Ne component visible as for the standard experiment.
Our results reveal that the Muse device is suitable to obtain event-related potentials – even from interpolated electrode channels.
Advanced preprocessing and artifact removal algorithms specifically targeting such devices with only a few and peripheral channels might help to better isolate ERP components of interest.
It remains the challenge to develop devices and procedures for online tactile testing.

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