Skip to main content
Log in

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

  • Original Paper
  • Published:
Brain Topography Aims and scope Submit manuscript

Abstract

Here we report that the modulation of alpha activity by covert attention can be used as a control signal in an online brain–computer interface, that it is reliable, and that it is robust. Subjects were instructed to orient covert visual attention to the left or right hemifield. We decoded the direction of attention from the magnetoencephalogram by a template matching classifier and provided the classification outcome to the subject in real-time using a novel graphical user interface. Training data for the templates were obtained from a Posner-cueing task conducted just before the BCI task. Eleven subjects participated in four sessions each. Eight of the subjects achieved classification rates significantly above chance level. Subjects were able to significantly increase their performance from the first to the second session. Individual patterns of posterior alpha power remained stable throughout the four sessions and did not change with increased performance. We conclude that posterior alpha power can successfully be used as a control signal in brain–computer interfaces. We also discuss several ideas for further improving the setup and propose future research based on solid hypotheses about behavioral consequences of modulating neuronal oscillations by brain computer interfacing.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Notes

  1. Note that the absolute classification bias is different from the bias correction term (see Online data processing in the BCI task). The absolute classification bias is measured as classifier performance, where the bias correction term constitutes the classifier decision boundary.

References

Download references

Acknowledgments

The authors gratefully acknowledge the support of the BrainGain Smart Mix Programme of the Netherlands Ministry of Economic Affairs and The Netherlands Ministry of Education, Culture and Science.O.J. is supported by the research program “The healthy brain” funded by The Netherlands Initiative Brain and Cognition (NIHC), a part of the Organization for Scientific Research (NWO) under Grant number 056-14-011 and by a VICI grant under number 453-09-002.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jörn M. Horschig.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Horschig, J.M., Oosterheert, W., Oostenveld, R. et al. Modulation of Posterior Alpha Activity by Spatial Attention Allows for Controlling A Continuous Brain–Computer Interface. Brain Topogr 28, 852–864 (2015). https://doi.org/10.1007/s10548-014-0401-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10548-014-0401-7

Keywords

Navigation