Long-range a-synchronization as control signal for BCI: a feasibility study

dc.contributor
Universitat Politècnica de Catalunya. Departament de Física
dc.contributor
Universitat Politècnica de Catalunya. BIOCOM-SC - Biologia Computacional i Sistemes Complexos
dc.contributor.author
Esparza-Iaizzo, Martín
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Vigué-Guix, Irene
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Ruzzoli, Manuela
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Torralba Cuello, Mireia
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Soto-Faraco, Salvador
dc.date.issued
2023-02-07
dc.identifier
Esparza-Iaizzo, M. [et al.]. Long-range a-synchronization as control signal for BCI: a feasibility study. "ENeuro", 7 Febrer 2023, vol. 10, núm. 3, p. ENEURO.0203-22.2023.
dc.identifier
2373-2822
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https://pmc.ncbi.nlm.nih.gov/articles/PMC9997698/
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https://hdl.handle.net/2117/424933
dc.identifier
10.1523/ENEURO.0203-22.2023
dc.description.abstract
Shifts in spatial attention are associated with variations in a band (a, 8–14 Hz) activity, specifically in interhemispheric imbalance. The underlying mechanism is attributed to local a-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 a-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 a-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 a-synchronization in attentional orienting on a single-trial basis and, thus, highlight the limitations of this metric as a reliable signal for BCI control.
dc.description.abstract
This 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).
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.language
eng
dc.relation
https://www.eneuro.org/content/10/3/ENEURO.0203-22.2023
dc.relation
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108531GB-I00/ES/INTEGRACION MULTISENSORIAL Y CONFLICTO/
dc.rights
http://creativecommons.org/licenses/by/4.0/
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Open Access
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Attribution 4.0 International
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Àrees temàtiques de la UPC::Ciències de la salut
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Alpha
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Brain-computer interface
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EEG
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Oscillations
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Phase coupling
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Visuospatial attention
dc.title
Long-range a-synchronization as control signal for BCI: a feasibility study
dc.type
Article


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