Volume 10 Supplement 1
Predicting BCI performance to study BCI illiteracy
© Dickhaus et al; licensee BioMed Central Ltd. 2009
Published: 13 July 2009
Introduction and method
Result and discussion
Interestingly, this SMR predictor explains as much as R2 = 37% of the variance in feedback accuracy in our sample. This finding not only points out a single cause as essential property for successful performance with an SMR-based BCI, but thereby also paves a way to approach the BCI illiteracy problem. Further studies will evaluate a specifically tailored neurofeedback training in order to enhance the SMR idle rhythm and, as may be speculated, feedback performance in subsequent BCI applications.
This work was supported in part by grants of the DFG (MU 987/3-1) and the BMBF (01IB001A/B, 01GQ0850).
This article is published under license to BioMed Central Ltd.