A visual imagery paradigm for BCI strategies using imagined flickering patterns

Steady state visually evoked potentials (SSVEPs) are a popular type of control signals in brain-computer interfaces (BCIs), in which they are typically elicited by observing a visual stimulus flashing at a specific frequency. For some patients, using SSVEP as control signal for a BCI can be difficult, for instance if they are unable to focus their gaze over the visual stimuli. To address this issue, some approaches were presented to design a gaze-independent SSVEP-controlled BCI but some difficulties have been reported, for instance for patients suffering from locked-in syndrome. In this work we employ a visual imagery (VI) signal, in which the visual stimulus is imagined instead of observed, to drive a BCI system and offer an alternative for patients that encounter issues with standard SSVEP approaches. We tested the proposed approach with 20 untrained subjects within a 3-classes BCI resulting in an offline classification accuracy of 60.93%. These results demonstrate how this gaze-independent BCI can be used by inexperienced BCI users.

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Publication Details

Journal
Scientific Reports
Published
2026-03-04
DOI
https://doi.org/10.1038/s41598-026-41324-6
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

A visual imagery paradigm for BCI strategies using imagined flickering patterns

Francesco P. Andriulli, P. Ricci, Davide Consoli, Simone Priori et al.
Scientific Reports
EEG and Brain-Computer Interfaces
article

A visual imagery paradigm for BCI strategies using imagined flickering patterns

Francesco P. Andriulli, P. Ricci, Davide Consoli, Simone Priori, Arturo Micheli, Adrien Merlini
article en

Abstract

Steady state visually evoked potentials (SSVEPs) are a popular type of control signals in brain-computer interfaces (BCIs), in which they are typically elicited by observing a visual stimulus flashing at a specific frequency. For some patients, using SSVEP as control signal for a BCI can be difficult, for instance if they are unable to focus their gaze over the visual stimuli. To address this issue, some approaches were presented to design a gaze-independent SSVEP-controlled BCI but some difficulties have been reported, for instance for patients suffering from locked-in syndrome. In this work we employ a visual imagery (VI) signal, in which the visual stimulus is imagined instead of observed, to drive a BCI system and offer an alternative for patients that encounter issues with standard SSVEP approaches. We tested the proposed approach with 20 untrained subjects within a 3-classes BCI resulting in an offline classification accuracy of 60.93%. These results demonstrate how this gaze-independent BCI can be used by inexperienced BCI users.

Scientific Reports
Politecnico di Torino (IT), IMT Atlantique (FR), Open University of the Netherlands (NL)
Politecnico di Torino, European Commission, Agence Nationale de la Recherche, HORIZON EUROPE Framework Programme, HORIZON EUROPE European Innovation Council
Openalex Percentile: Top 38%
EEG and Brain-Computer Interfaces
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