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dc.contributor.authorEsparza-Iaizzo, Martín
dc.contributor.authorVigué-Guix, Irene
dc.contributor.authorRuzzoli, Manuela
dc.contributor.authorTorralba-Cuello, Mireia
dc.contributor.authorSoto-Faraco, Salvador
dc.date.accessioned2023-03-24T11:04:59Z
dc.date.available2023-03-24T11:04:59Z
dc.date.issued2023
dc.identifier.citationLong-Range α-Synchronization as Control Signal for BCI: A Feasibility Study Martín Esparza-Iaizzo, Irene Vigué-Guix, Manuela Ruzzoli, Mireia Torralba-Cuello, Salvador Soto-Faraco eNeuro 7 February 2023, 10 (3) ENEURO.0203-22.2023; DOI: 10.1523/ENEURO.0203-22.2023es_ES
dc.identifier.citationeNeuro
dc.identifier.citation
dc.identifier.issn2373-2822
dc.identifier.urihttp://hdl.handle.net/10810/60475
dc.descriptionFirst published February 7, 2023es_ES
dc.description.abstractShifts in spatial attention are associated with variations in α band (α, 8–14 Hz) activity, specifically in interhemispheric imbalance. The underlying mechanism is attributed to local α-synchronization, which regulates local inhibition of neural excitability, and frontoparietal synchronization reflecting long-range communication. The direction-specific nature of this neural correlate brings forward its potential as a control signal in brain-computer interfaces (BCIs). In the present study, we explored whether long-range α-synchronization presents lateralized patterns dependent on voluntary attention orienting and whether these neural patterns can be picked up at a single-trial level to provide a control signal for active BCI. We collected electroencephalography (EEG) data from a cohort of healthy adults (n = 10) while performing a covert visuospatial attention (CVSA) task. The data show a lateralized pattern of α-band phase coupling between frontal and parieto-occipital regions after target presentation, replicating previous findings. This pattern, however, was not evident during the cue-to-target orienting interval, the ideal time window for BCI. Furthermore, decoding the direction of attention trial-by-trial from cue-locked synchronization with support vector machines (SVMs) was at chance level. The present findings suggest EEG may not be capable of detecting long-range α-synchronization in attentional orienting on a single-trial basis and, thus, highlight the limitations of this metric as a reliable signal for BCI control.es_ES
dc.description.sponsorshipThis research was supported by the Agència de Gestió d’Ajuts Universitaris i de Recerca Generalitat de Catalunya Grant 2017 SGR 1545. This project has been co-funded with 50% by the European Regional Development Fund under the framework of the FEDER Operative Programme for Catalunya 2014-2020 Ministerio de Ciencia e Innovación (Ref: PID2019-108531GB-I00 AEI/FEDER).es_ES
dc.language.isoenges_ES
dc.publisherSociety for Neurosciencees_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/PID2019-108531GB-I00 AEI/FEDERes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectAlphaes_ES
dc.subjectbrain-computer interfacees_ES
dc.subjectEEGes_ES
dc.subjectoscillationses_ES
dc.subjectphase couplinges_ES
dc.subjectvisuospatial attentiones_ES
dc.titleLong-Range a-Synchronization as Control Signal for BCI: A Feasibility Studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.es_ES
dc.relation.publisherversionhttps://www.eneuro.org/es_ES
dc.identifier.doi10.1523/ENEURO.0203-22.2023


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