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Brain-Computer Interface ResearchEstimation of Intracranial P300 Speller Sites with Magnetoencephalography (MEG)—Perspectives for Non-invasive Navigation of Subdural Grid Implantation

Brain-Computer Interface Research: Estimation of Intracranial P300 Speller Sites with... [Brain-Computer Interfaces (BCIs) are powerful tools for enabling communication between people and the surrounding world by directly utilizing brain activity and avoiding motor pathways. Before moving into invasive implantation of BCIs, a key issue must be resolved—localization of the areas for implantation, which might vary depending on the chosen BCI type as well as on the individual person’s characteristics. In this study, we aimed to evaluate the possibility of non-invasive navigation of subdural electrode implantation for P300 speller BCI by using magnetoencephalogaphy (MEG). The accuracy of subdural P300 speller performance based on the sites identified with MEG was comparable with the performance based on the sites identified from subdural electrode grids—80% and 90% averaged accuracy, respectively. Our study demonstrates the feasibility of using MEG as a non-invasive tool for navigating electrode implantation required for high accuracy invasive P300 speller control.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Brain-Computer Interface ResearchEstimation of Intracranial P300 Speller Sites with Magnetoencephalography (MEG)—Perspectives for Non-invasive Navigation of Subdural Grid Implantation

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/lp/springer-journals/brain-computer-interface-research-estimation-of-intracranial-p300-fEEBSKeL85
Publisher
Springer International Publishing
Copyright
© The Author(s) 2017
ISBN
978-3-319-57131-7
Pages
111 –121
DOI
10.1007/978-3-319-57132-4_9
Publisher site
See Chapter on Publisher Site

Abstract

[Brain-Computer Interfaces (BCIs) are powerful tools for enabling communication between people and the surrounding world by directly utilizing brain activity and avoiding motor pathways. Before moving into invasive implantation of BCIs, a key issue must be resolved—localization of the areas for implantation, which might vary depending on the chosen BCI type as well as on the individual person’s characteristics. In this study, we aimed to evaluate the possibility of non-invasive navigation of subdural electrode implantation for P300 speller BCI by using magnetoencephalogaphy (MEG). The accuracy of subdural P300 speller performance based on the sites identified with MEG was comparable with the performance based on the sites identified from subdural electrode grids—80% and 90% averaged accuracy, respectively. Our study demonstrates the feasibility of using MEG as a non-invasive tool for navigating electrode implantation required for high accuracy invasive P300 speller control.]

Published: Apr 30, 2017

Keywords: Brain computer interface (BCI); Electrocorticography (ECoG); Magnetoencephalography (MEG); P300 response; P300 speller

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