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Sensorimotor Functional Connectivity: A Neurophysiological Factor Related to BCI Performance.

Carmen Vidaurre1, Stefan Haufe2,3, Tania Jorajuría1

  • 1Department of Statistics, Computer Science and Mathematics, Public University of Navarre, Pamplona, Spain.

Frontiers in Neuroscience
|January 4, 2021
PubMed
Summary

Neuronal connectivity in sensorimotor areas significantly predicts Brain-Computer Interface (BCI) performance. Enhanced sensorimotor connectivity, not just oscillation amplitude, is key for good BCI control.

Keywords:
BCI efficiencyBCI performanceconnectivitypre-stimulussensorimotor signalsμ-band

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Brain-Computer Interfaces (BCIs) enable device control via brain activity, but user performance varies significantly.
  • Approximately 20% of users struggle with reliable control of sensorimotor BCIs.
  • Identifying neurophysiological factors for BCI performance is crucial for improving user success.

Purpose of the Study:

  • To investigate the hypothesis that neuronal connectivity in sensorimotor areas influences Brain-Computer Interface (BCI) performance.
  • To identify neurophysiological predictors of BCI control proficiency in inexperienced users.
  • To explore the relationship between sensorimotor connectivity and BCI feedback accuracy.

Main Methods:

  • Analysis of a large dataset (N=80) of inexperienced participants undergoing BCI calibration and online feedback sessions.
  • Computation of undirected functional connectivity using the imaginary part of coherency in sensorimotor areas.
  • Correlation analysis between pre- and post-stimulus connectivity and online BCI performance in μ and feedback frequency bands.

Main Results:

  • Significant correlation found between sensorimotor connectivity (pre- and post-stimulus) and online BCI performance in μ and feedback bands.
  • This correlation was independent of the signal-to-noise ratio of sensorimotor oscillations.
  • BCI performance is linked to both oscillation amplitude and sensorimotor connectivity.

Conclusions:

  • Neuronal connectivity in sensorimotor areas is a significant determinant of BCI performance, alongside oscillation amplitude.
  • Enhanced connectivity likely facilitates motor imagery, leading to improved BCI control.
  • Strategies to up-regulate sensorimotor connectivity may enhance BCI performance for users.