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Practical real-time MEG-based neural interfacing with optically pumped magnetometers.
Wittevrongel, Benjamin; Holmes, Niall; Boto, Elena; Hill, Ryan; Rea, Molly; Libert, Arno; Khachatryan, Elvira; Van Hulle, Marc M; Bowtell, Richard; Brookes, Matthew J.
Afiliação
  • Wittevrongel B; Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, Leuven, Belgium. benjamin.wittevrongel@kuleuven.be.
  • Holmes N; Leuven Institute for Artificial Intelligence (Leuven.AI), Leuven, Belgium. benjamin.wittevrongel@kuleuven.be.
  • Boto E; Leuven Brain Institute (LBI), Leuven, Belgium. benjamin.wittevrongel@kuleuven.be.
  • Hill R; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
  • Rea M; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
  • Libert A; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
  • Khachatryan E; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
  • Van Hulle MM; Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, Leuven, Belgium.
  • Bowtell R; Leuven Brain Institute (LBI), Leuven, Belgium.
  • Brookes MJ; Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, Leuven, Belgium.
BMC Biol ; 19(1): 158, 2021 08 10.
Article em En | MEDLINE | ID: mdl-34376215
ABSTRACT

BACKGROUND:

Brain-computer interfaces decode intentions directly from the human brain with the aim to restore lost functionality, control external devices or augment daily experiences. To combine optimal performance with wide applicability, high-quality brain signals should be captured non-invasively. Magnetoencephalography (MEG) is a potent candidate but currently requires costly and confining recording hardware. The recently developed optically pumped magnetometers (OPMs) promise to overcome this limitation, but are currently untested in the context of neural interfacing.

RESULTS:

In this work, we show that OPM-MEG allows robust single-trial analysis which we exploited in a real-time 'mind-spelling' application yielding an average accuracy of 97.7%.

CONCLUSIONS:

This shows that OPM-MEG can be used to exploit neuro-magnetic brain responses in a practical and flexible manner, and opens up new avenues for a wide range of new neural interface applications in the future.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Magnetoencefalografia Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Magnetoencefalografia Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article