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

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 minimu...

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Autores principales: Hänselmann, Siegfried, Schneiders, Matthias, Weidner, Norbert, Rupp, Rüdiger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547425/
https://www.ncbi.nlm.nih.gov/pubmed/26303933
http://dx.doi.org/10.1186/s12984-015-0063-z
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author Hänselmann, Siegfried
Schneiders, Matthias
Weidner, Norbert
Rupp, Rüdiger
author_facet Hänselmann, Siegfried
Schneiders, Matthias
Weidner, Norbert
Rupp, Rüdiger
author_sort Hänselmann, Siegfried
collection PubMed
description 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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spelling pubmed-45474252015-08-25 Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface Hänselmann, Siegfried Schneiders, Matthias Weidner, Norbert Rupp, Rüdiger J Neuroeng Rehabil Research 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. BioMed Central 2015-08-25 /pmc/articles/PMC4547425/ /pubmed/26303933 http://dx.doi.org/10.1186/s12984-015-0063-z Text en © Hänselmann et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hänselmann, Siegfried
Schneiders, Matthias
Weidner, Norbert
Rupp, Rüdiger
Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface
title Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface
title_full Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface
title_fullStr Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface
title_full_unstemmed Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface
title_short Transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface
title_sort transcranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547425/
https://www.ncbi.nlm.nih.gov/pubmed/26303933
http://dx.doi.org/10.1186/s12984-015-0063-z
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