Investigating singing imagery as an additional or alternative control task for EEG-based Brain-Computer Interfaces

These promising results suggest that singing imagery can serve as both an additional and an alternative task in MI-BCIs. In lower-class systems, SI may provide a valuable option for generating commands, particularly for users who may find some conventional MI tasks less intuitive. When combined with the established MI tasks, SI could increase the number of possible commands, thereby extending the functional capacity of BCI systems. Overall, this work demonstrates the potential of SI to broaden the repertoire of mental tasks available for BCI control and to advance the development of more flexible, powerful, and user-centered BCI applications.

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Publication Details

Journal
Frontiers in Human Neuroscience
Published
2026-01-14
DOI
https://doi.org/10.3389/fnhum.2025.1736711
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigating singing imagery as an additional or alternative control task for EEG-based Brain-Computer Interfaces

Sarah Power, Hadi Mohammadpour
Frontiers in Human Neuroscience
EEG and Brain-Computer Interfaces
article

Investigating singing imagery as an additional or alternative control task for EEG-based Brain-Computer Interfaces

Sarah Power, Hadi Mohammadpour
article en

Abstract

These promising results suggest that singing imagery can serve as both an additional and an alternative task in MI-BCIs. In lower-class systems, SI may provide a valuable option for generating commands, particularly for users who may find some conventional MI tasks less intuitive. When combined with the established MI tasks, SI could increase the number of possible commands, thereby extending the functional capacity of BCI systems. Overall, this work demonstrates the potential of SI to broaden the repertoire of mental tasks available for BCI control and to advance the development of more flexible, powerful, and user-centered BCI applications.

Frontiers in Human NeuroscienceVol. 19
Memorial University of Newfoundland (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 90%
EEG and Brain-Computer Interfaces
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