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

Other authors

Universitat Politècnica de Catalunya. Departament de Física

Universitat Politècnica de Catalunya. BIOCOM-SC - Biologia Computacional i Sistemes Complexos

Publication date

2023-02-07

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.


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).


Peer Reviewed


Postprint (published version)

Document Type

Article

Language

English

Related items

https://www.eneuro.org/content/10/3/ENEURO.0203-22.2023

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/

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Rights

http://creativecommons.org/licenses/by/4.0/

Open Access

Attribution 4.0 International

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E-prints [73025]