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Assessing Feedback Response With a Wearable Electroencephalography System.

Jenny M Qiu1, Michael A Casey2, Solomon G Diamond1

  • 1Thayer School of Engineering, Dartmouth College, Hanover, NH, United States.

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|August 13, 2019
PubMed
Summary
This summary is machine-generated.

This study shows that affordable wearable EEG systems can detect event-related potentials (ERPs) like P3 and N2 in interactive settings. This opens possibilities for accessible performance monitoring using electroencephalography (EEG).

Keywords:
EEGFRNN2P3applied neurosciencebrain computer interfaces

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomedical Engineering

Background:

  • Event-related potentials (ERPs), including P3, N2, and Feedback-Related Negativity (FRN), are key metrics for performance monitoring via feedback processing.
  • Traditional research relies on expensive clinical electroencephalography (EEG) systems.
  • Wearable EEG offers an affordable alternative but requires validation for feedback-related ERP assessment in interactive environments.

Purpose of the Study:

  • To evaluate the feasibility of a consumer-grade wearable EEG system for collecting feedback-related ERPs.
  • To assess ERPs in an interactive setting mimicking daily computer use.
  • To determine if wearable EEG can reliably measure P3, N2, and FRN components.

Main Methods:

  • Utilized a low-cost (<$1,500) OpenBCI Cyton Board with Daisy chain EEG system.
  • Recruited seventeen participants to engage with an oddball paradigm and a custom interactive module.
  • Measured P3 and N2 components in the oddball paradigm and P3, N2, and FRN in the interactive module.

Main Results:

  • The oddball paradigm revealed significant P3 and N2 differences between infrequent and frequent targets, aligning with existing literature.
  • The interactive module demonstrated significant P3 and N2 differences across positive, neutral, and negative feedback conditions.
  • No significant differences were found for FRN types, with no significant interactions observed with channel group and FRN type.

Conclusions:

  • The OpenBCI Cyton system, with modifications, shows promise for capturing P3, N2, and FRN components.
  • This wearable EEG approach is suitable for assessing performance monitoring indicators in interactive settings.
  • Consumer-grade EEG systems offer a viable, cost-effective method for ERP research.