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On Error-Related Potentials During Sensorimotor-Based Brain-Computer Interface: Explorations With a Pseudo-Online

Michele Bevilacqua1, Serafeim Perdikis2, Jose Del R Millan3

  • 11 Defitech Chair of Clinical NeuroengineeringCenter for Neuroprosthetics and Brain Mind Institute, EPFL CH-1202 Geneva Switzerland.

IEEE Open Journal of Engineering in Medicine and Biology
|April 11, 2022
PubMed
Summary
This summary is machine-generated.

Error-related potentials (ErrPs) can detect spelling mistakes in brain-computer interface (BCI) systems for individuals with paralysis. Continuous BCI feedback did not hinder ErrP detection during motor imagery spelling tasks.

Keywords:
Brain-Computer InterfaceError PotentialsMotor Imageryerror correctionhybrid BCI

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Brain-computer interfaces (BCIs) offer communication solutions for individuals with paralysis.
  • Current BCIs face challenges with decoding accuracy, necessitating error correction strategies.
  • Error-related potentials (ErrPs) are neural signals associated with error detection and have been proposed for BCI error correction.

Purpose of the Study:

  • To investigate the feasibility of detecting ErrPs for error correction in pseudo-online Motor Imagery (MI) BCI spelling.
  • To examine the impact of continuous BCI feedback on the generation and detection of ErrPs during MI-BCI spelling.

Main Methods:

  • Ten participants performed MI-BCI spelling tasks under two conditions: with and without continuous BCI feedback.
  • Pseudo-online detection of ErrPs was performed to assess their accuracy in identifying spelling errors.
  • Statistical analysis compared ErrP detection accuracy between the feedback and no-feedback conditions.

Main Results:

  • ErrP detection accuracy was significantly above chance level in both conditions.
  • No significant difference in ErrP detection accuracy was observed between the condition with BCI feedback (74%) and the condition without feedback (78%).

Conclusions:

  • ErrPs can be reliably detected during MI-BCI spelling tasks, supporting their use for error correction.
  • Continuous BCI feedback does not appear to interfere with the generation or detection of ErrPs in this context.