Limited value of a common spatial patterns approach to online discrimination of left- and right-hand motor imagery in a pediatric sample
Background Applications of brain-computer interfaces (BCIs) in pediatric rehabilitation are expanding. However, it is unclear whether popular BCI paradigms developed for adults are feasible in children. This study evaluated, in a typically developing pediatric sample, a time-honored, adult, motor im...
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Taylor & Francis Group
2024-12-01
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| Series: | Brain-Apparatus Communication |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/27706710.2024.2425299 |
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| author | Sarah Catherine House Silvia Orlandi Tom Chau |
| author_facet | Sarah Catherine House Silvia Orlandi Tom Chau |
| author_sort | Sarah Catherine House |
| collection | DOAJ |
| description | Background Applications of brain-computer interfaces (BCIs) in pediatric rehabilitation are expanding. However, it is unclear whether popular BCI paradigms developed for adults are feasible in children. This study evaluated, in a typically developing pediatric sample, a time-honored, adult, motor imagery BCI paradigm that discriminates between imagined left- and right-hand movements.Methods We developed an electroencephalographic pediatric BCI with visual-auditory feedback through a game interface controlled by left- and right-hand motor imagery (MI). The BCI was evaluated in one offline (with sham feedback) and four online (with real-time classifier feedback) sessions with 11 typically developing children aged 9–14 years. The BCI was personalized to each child, via a well-established adult pipeline, namely, a regularized linear discriminant classifier with selected common spatial patterns in mu and beta bands as inputs.Results Unlike in adults, the online child-specific BCI demonstrated limited discrimination between left and right-hand MI using spatial features (52 ± 9%). Only left-hand MI versus rest in a retrospective analysis with personalized feature sets reached 70 ± 3%.Conclusions Our findings suggest that cortical activity corresponding to MI in our pediatric sample departed from well-documented, conspicuously lateralized adult patterns. Further investigation of developmental MI patterns is warranted to identify a pediatric approach to MI BCI. |
| format | Article |
| id | doaj-art-35873a6f0c014a84a479f449897a7a3f |
| institution | Kabale University |
| issn | 2770-6710 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Brain-Apparatus Communication |
| spelling | doaj-art-35873a6f0c014a84a479f449897a7a3f2024-12-17T12:51:42ZengTaylor & Francis GroupBrain-Apparatus Communication2770-67102024-12-013110.1080/27706710.2024.2425299Limited value of a common spatial patterns approach to online discrimination of left- and right-hand motor imagery in a pediatric sampleSarah Catherine House0Silvia Orlandi1Tom Chau2Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, CanadaDepartment of Electrical, Electronic, and Information Engineering – Guglielmo Marconi (DEI), University of Bologna Viale Risorgimento, Bologna, ItalyBloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, CanadaBackground Applications of brain-computer interfaces (BCIs) in pediatric rehabilitation are expanding. However, it is unclear whether popular BCI paradigms developed for adults are feasible in children. This study evaluated, in a typically developing pediatric sample, a time-honored, adult, motor imagery BCI paradigm that discriminates between imagined left- and right-hand movements.Methods We developed an electroencephalographic pediatric BCI with visual-auditory feedback through a game interface controlled by left- and right-hand motor imagery (MI). The BCI was evaluated in one offline (with sham feedback) and four online (with real-time classifier feedback) sessions with 11 typically developing children aged 9–14 years. The BCI was personalized to each child, via a well-established adult pipeline, namely, a regularized linear discriminant classifier with selected common spatial patterns in mu and beta bands as inputs.Results Unlike in adults, the online child-specific BCI demonstrated limited discrimination between left and right-hand MI using spatial features (52 ± 9%). Only left-hand MI versus rest in a retrospective analysis with personalized feature sets reached 70 ± 3%.Conclusions Our findings suggest that cortical activity corresponding to MI in our pediatric sample departed from well-documented, conspicuously lateralized adult patterns. Further investigation of developmental MI patterns is warranted to identify a pediatric approach to MI BCI.https://www.tandfonline.com/doi/10.1080/27706710.2024.2425299Brain-computer interfacemotor imagerypediatricelectroencephalographyaccess technology |
| spellingShingle | Sarah Catherine House Silvia Orlandi Tom Chau Limited value of a common spatial patterns approach to online discrimination of left- and right-hand motor imagery in a pediatric sample Brain-Apparatus Communication Brain-computer interface motor imagery pediatric electroencephalography access technology |
| title | Limited value of a common spatial patterns approach to online discrimination of left- and right-hand motor imagery in a pediatric sample |
| title_full | Limited value of a common spatial patterns approach to online discrimination of left- and right-hand motor imagery in a pediatric sample |
| title_fullStr | Limited value of a common spatial patterns approach to online discrimination of left- and right-hand motor imagery in a pediatric sample |
| title_full_unstemmed | Limited value of a common spatial patterns approach to online discrimination of left- and right-hand motor imagery in a pediatric sample |
| title_short | Limited value of a common spatial patterns approach to online discrimination of left- and right-hand motor imagery in a pediatric sample |
| title_sort | limited value of a common spatial patterns approach to online discrimination of left and right hand motor imagery in a pediatric sample |
| topic | Brain-computer interface motor imagery pediatric electroencephalography access technology |
| url | https://www.tandfonline.com/doi/10.1080/27706710.2024.2425299 |
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