Can the occipital alpha-phase speed up visual detection through a real-time EEG-based brain-computer interface (BCI)?

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• dc.contributor.author Vigué Guix, Irene
• dc.contributor.author Morís Fernández, Luis, 1982-
• dc.contributor.author Torralba, Mireia
• dc.contributor.author Ruzzoli, Manuela
• dc.contributor.author Soto-Faraco, Salvador, 1970-
• dc.date.accessioned 2021-04-22T07:09:33Z
• dc.date.issued 2022
• dc.description.abstract Electrical brain oscillations reflect fluctuations in neural excitability. Fluctuations in the alpha band (α, 8–12 Hz) in the occipito‐parietal cortex are thought to regulate sensory responses, leading to cyclic variations in visual perception. Inspired by this theory, some past and recent studies have addressed the relationship between α‐phase from extra‐cranial EEG and behavioural responses to visual stimuli in humans. The latest studies have used offline approaches to confirm α‐gated cyclic patterns. However, a particularly relevant implication is the possibility to use this principle online, whereby stimuli are time‐locked to specific α‐phases leading to predictable outcomes in performance. Here, we aimed at providing a proof of concept for such real‐time neurotechnology. Participants performed a speeded response task to visual targets that were presented upon a real‐time estimation of the α‐phase via an EEG closed‐loop brain–computer interface (BCI). According to the theory, we predicted a modulation of reaction times (RTs) along the α‐cycle. Our BCI system achieved reliable trial‐to‐trial phase locking of stimuli to the phase of individual occipito‐parietal α‐oscillations. Yet, the behavioural results did not support a consistent relation between RTs and the phase of the α‐cycle neither at group nor at single participant levels. We must conclude that although the α‐phase might play a role in perceptual decisions from a theoretical perspective, its impact on EEG‐based BCI application appears negligible.
• dc.description.sponsorship This research was supported by the Ministerio de Economia y Competitividad (PSI2016-75558-P AEI/FEDER to S.S.F.), AGAUR Generalitat de Catalunya (2014SGR856 to S.S.F.), Explora Ciencia 2015 (AEI - PSI2015-72568-EXP to M.R.). M.R. was also supported by the European Commission Individual Fellowship (Ctrl Code – 794649, H2020-MSCA-IF-2017).
• dc.format.mimetype application/pdf
• dc.identifier.citation Vigué-Guix I, Morís Fernández L, Torralba Cuello M, Ruzzoli M, Soto-Faraco S. Can the occipital alpha-phase speed up visual detection through a real-time EEG-based brain-computer interface (BCI)? Eur J Neurosci. 2022;55(11-12):3224-40. DOI: 10.1111/ejn.14931
• dc.identifier.doi http://dx.doi.org/10.1111/ejn.14931
• dc.identifier.issn 0953-816X
• dc.identifier.uri http://hdl.handle.net/10230/47188
• dc.language.iso eng
• dc.publisher Wiley
• dc.relation.ispartof European Journal of Neuroscience. 2022;55(11-12):3224-40
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/794649
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/PSI2016-75558-P
• dc.rights This is the peer reviewed version of the following article: Vigué-Guix I, Morís Fernández L, Torralba Cuello M, Ruzzoli M, Soto-Faraco S. Can the occipital alpha-phase speed up visual detection through a real-time EEG-based brain-computer interface (BCI)? Eur J Neurosci. 2022;55(11-12):3224-40, which has been published in final form at http://dx.doi.org/10.1111/ejn.14931. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword EEG
• dc.subject.keyword Oscillations
• dc.subject.keyword Alpha
• dc.subject.keyword Phase
• dc.subject.keyword Real-time
• dc.subject.keyword Brain-computer interface (BCI)
• dc.subject.keyword Response time
• dc.subject.keyword Visual perception
• dc.title Can the occipital alpha-phase speed up visual detection through a real-time EEG-based brain-computer interface (BCI)?
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion