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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
W. Wang et al., An electrocorticographic brain interface in an individual with tetraplegia. PLoS ONE 8(2), e55344 (2013)
M. Korostenskaja et al., Non-invasive versus invasive brain-computer interfaces. Abstracts from the Fifth International Brain-Computer Interface Meeting 2013 (Asilomar Conference Center, Pacific Grove, CA, USA, 2013)
M. Korostenskaja et al., Improving ECoG-based P300 speller accuracy. Proceedings of the 6th International Brain-Computer Interface Conference 2014, vol. 088, (2014) p. 1–4
E. Pataraia et al., Magnetoencephalography in presurgical epilepsy evaluation. Neurosurg. Rev. 25(3), 141–59; discussion 160-1 (2002)
J.R. Wolpaw, Brain-computer interfaces as new brain output pathways. J. Physiol. 579(Pt 3), 3–9 (2007)
W. Speier, I. Fried, N. Pouratian, Improved P300 speller performance using electrocorticography, spectral features, and natural language processing. Clin. Neurophysiol. 124(7), 1–8 (2013)
S. Silvoni et al., Amyotrophic lateral sclerosis progression and stability of brain-computer interface communication. Amyotroph Lateral Scler Frontotemporal Degener 14(5–6), 3–6 (2013)
Z.R. Lugo et al., A vibrotactile p300-based brain-computer interface for consciousness detection and communication. Clin. EEG Neurosci. 45(1), 14–21 (2014)
J.E. Huggins, P.A. Wren, K.L. Gruis, What would brain-computer interface users want? Opinions and priorities of potential users with amyotrophic lateral sclerosis. Amyotroph Lateral Scler 12(5), 18–24 (2011)
J.L. Collinger et al., Functional priorities, assistive technology, and brain-computer interfaces after spinal cord injury. J. Rehabil. Res. Dev. 50(2), 45–60 (2013)
J. Viventi, J.A. Blanco, Development of high resolution, multiplexed electrode arrays: opportunities and challenges. 2012 IEEE Conference on Proceedings of Engineering in Medicine and Biology Soceity (2012), p. 1394–1396
J. Viventi et al., Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo. Nat. Neurosci. 14(12), 599–605 (2011)
Y. Zhao et al., Implanted miniaturized antenna for brain computer interface applications: analysis and design. PLoS ONE 9(7), e103945 (2014)
B. Rubehn et al., A MEMS-based flexible multichannel ECoG-electrode array. J. Neural Eng. 6(3), 036003 (2009)
C. Henle et al., First long term in vivo study on subdurally implanted micro-ECoG electrodes, manufactured with a novel laser technology. Biomed. Microdevices 13(1), 59–68 (2011)
H. Toda et al., Simultaneous recording of ECoG and intracortical neuronal activity using a flexible multichannel electrode-mesh in visual cortex. Neuroimage 54(1), 3–12 (2011)
E.C. Leuthardt et al., Microscale recording from human motor cortex: implications for minimally invasive electrocorticographic brain-computer interfaces. Neurosurg. Focus 27(1), E10 (2009)
C.W. Anderson et al., A comparison of EEG systems for use with brain computer interfaces in home environments. Psychophysiology, 2013. 50 (Issue Supplement S1), p. S6
N.E. Crone, A. Sinai, A. Korzeniewska, High-frequency gamma oscillations and human brain mapping with electrocorticography. Prog. Brain Res. 159, 75–95 (2006)
T. Ball et al., Signal quality of simultaneously recorded invasive and non-invasive EEG. Neuroimage 46(3), 8–16 (2009)
N.J. Hill et al., Recording human electrocorticographic (ECoG) signals for neuroscientific research and real-time functional cortical mapping. J. Vis. Exp. 64 (2012)
T. Kim et al., Spatiotemporal compression for efficient storage and transmission of high-resolution electrocorticography data. 2012 IEEE Conference on Proceedings of Engineering in Medicine and Biology Soceity (2012), p. 1012–1015
S. Kellis et al., Classification of spoken words using surface local field potentials. 2010 IEEE Conference on Proceedings of Engineering in Medicine and Biology Soceity (2012), p. 3827–3830
S. Kellis et al., Decoding spoken words using local field potentials recorded from the cortical surface. J. Neural Eng. 7(5), 056007 (2010)
J. Xiang et al., Noninvasive localization of epileptogenic zones with ictal high-frequency neuromagnetic signals. J Neurosurg Pediatr 5(1), 13–22 (2010)
M.S. Hamalainen et al., Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev. Mod. Phys. 65, 13–97 (1993)
J. Mellinger et al., An MEG-based brain-computer interface (BCI). Neuroimage 36(3), 81–93 (2007)
L.A. Farwell, E. Donchin, Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr. Clin. Neurophysiol. 70(6), 10–23 (1988)
U. Volpe et al., The cortical generators of P3a and P3b: a LORETA study. Brain Res. Bull. 73(4–6), 20–30 (2007)
P. Baudena et al., Intracerebral potentials to rare target and distractor auditory and visual stimuli III. Frontal cortex. Electroencephalogr. Clin. Neurophysiol. 94(4), 51–64 (1995)
E. Halgren et al., Intracerebral potentials to rare target and distractor auditory and visual stimuli. II. Medial, lateral and posterior temporal lobe. Electroencephalogr. Clin. Neurophysiol. 94(4), 29–50 (1995)
E. Halgren et al., Intracerebral potentials to rare target and distractor auditory and visual stimuli. I. Superior temporal plane and parietal lobe. Electroencephalogr. Clin. Neurophysiol. 94(3), 191–220 (1995)
M.E. Smith et al., The intracranial topography of the P3 event-related potential elicited during auditory oddball. Electroencephalogr. Clin. Neurophysiol. 76(3), 35–48 (1990)
C. Mulert et al., The neural basis of the P300 potential. Focus on the time-course of the underlying cortical generators. Eur. Arch. Psychiatry Clin. Neurosci. 254(3), 1–8 (2004)
I. Kiss, R.M. Dashieff, P. Lordeon, A parieto-occipital generator for P300: evidence from human intracranial recordings. Int. J. Neurosci. 49(1–2), 3–9 (1989)
Acknowledgements
Authors want to express their gratitude to Dr. Brendan Allison for his valuable editorial suggestions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 The Author(s)
About this chapter
Cite this chapter
Korostenskaja, M. et al. (2017). Estimation of Intracranial P300 Speller Sites with Magnetoencephalography (MEG)—Perspectives for Non-invasive Navigation of Subdural Grid Implantation. In: Guger, C., Allison, B., Ushiba, J. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-57132-4_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-57132-4_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57131-7
Online ISBN: 978-3-319-57132-4
eBook Packages: Computer ScienceComputer Science (R0)