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Journal of NeuroEngineering and Rehabilitation

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Open Access 01-12-2015 | Research

Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface

Authors: Siegfried Hänselmann, Matthias Schneiders, Norbert Weidner, Rüdiger Rupp

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2015

Abstract

Background

For the translation of noninvasive motor imagery (MI)-based brain-computer interfaces (BCIs) from the lab environment to end users at their homes, their handling must be improved. As a key component, the number of electroencephalogram (EEG)-recording electrodes has to be kept at a minimum. However, due to inter-individual anatomical and physiological variations, reducing the number of electrodes bares the risk of electrode misplacement, which will directly translate into a limited BCI performance of end users. The aim of the study is to evaluate the use of focal transcranial magnetic stimulation (TMS) as an easy tool to individually optimize electrode positioning for a MI-based BCI. For this, the area of MI-induced mu-rhythm modulation was compared with the motor hand representation area in respect to their localization and to the control performance of a MI-based BCI.

Methods

Focal TMS was applied to map the motor hand areas and a 48-channel high-resolution EEG was used to localize MI-induced mu-rhythm modulations in 11 able-bodied, right-handed subjects (5 male, age: 23–31). The online BCI performances of the study participants were assessed with a single next-neighbor Laplace channel consecutively placed over the motor hand area and over the area of the strongest mu-modulation.

Results

For most subjects, a consistent deviation between the position of the mu-modulation center and the corresponding motor hand areas well above the localization error could be observed in mediolateral and to a lesser degree in anterior-posterior direction. On an individual level, the MI-induced mu-rhythm modulation was at average found 1.6 cm (standard deviation (SD) = 1.30 cm) lateral and 0.31 cm anterior (SD = 1.39 cm) to the motor hand area and enabled a significantly better online BCI performance than the motor hand areas.

Conclusion

On an individual level a trend towards a consistent average spatial distance between motor hand area and mu-rhythm modulation center was found indicating that TMS may be used as a simple tool for quick individual optimization of EEG-recording electrode positions of MI-based BCIs. The study results indicate that motor hand areas of the primary motor cortex determined by TMS are not the main generators of the cortical mu-rhythm.

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Title: Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface
Authors: Siegfried Hänselmann
Matthias Schneiders
Norbert Weidner
Rüdiger Rupp
Publication date: 01-12-2015
Publisher: BioMed Central
Published in: Journal of NeuroEngineering and Rehabilitation / Issue 1/2015
Electronic ISSN: 1743-0003
DOI: https://doi.org/10.1186/s12984-015-0063-z

At a glance: The STEP trials

Springer Medicine

Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface

Abstract

Background

Methods

Results

Conclusion

At a glance: The STEP trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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