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Related Experiment Video

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Modulation of Posterior Alpha Activity by Spatial Attention Allows for Controlling A Continuous Brain-Computer

Jörn M Horschig1, Wouter Oosterheert2, Robert Oostenveld2

  • 1Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands. jm.horschig@donders.ru.nl.

Brain Topography
|November 13, 2014
PubMed
Summary

Brain-computer interfaces (BCIs) can use alpha activity modulation, driven by covert attention, as a reliable control signal. This reliable brain-computer interface method shows robust performance in users.

Keywords:
AlphaAttentionBrain-computer interfacingCovert attentionLateralizationMagenetoencephalography

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Cognitive Science

Background:

  • Covert attention significantly modulates neural oscillations, particularly posterior alpha activity.
  • Brain-computer interfaces (BCIs) offer potential for assistive communication and control.
  • Developing reliable and robust control signals is crucial for effective BCI applications.

Purpose of the Study:

  • To investigate the feasibility of using modulated posterior alpha activity as a control signal in an online BCI.
  • To assess the reliability and robustness of this attention-based BCI control.
  • To explore real-time decoding of covert visual attention direction.

Main Methods:

  • Participants covertly attended to left or right visual hemifields.
  • Magnetoencephalography (MEG) recorded neural activity.
  • A template matching classifier decoded attention direction in real-time.
  • A novel graphical user interface provided feedback.

Main Results:

  • Eight out of eleven subjects achieved significantly above-chance classification rates.
  • Subject performance improved significantly between the first and second sessions.
  • Individual posterior alpha power patterns remained stable across sessions, irrespective of performance gains.

Conclusions:

  • Modulation of posterior alpha activity by covert attention is a reliable and robust control signal for BCIs.
  • Attention-based BCIs show promise for real-time control applications.
  • Further research can optimize BCI setups and explore behavioral impacts of neural oscillation modulation.