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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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-34376215
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 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Magnetoencefalografía Límite: Humans Idioma: En Revista: BMC Biol Asunto de la revista: BIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Magnetoencefalografía Límite: Humans Idioma: En Revista: BMC Biol Asunto de la revista: BIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Bélgica