High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery
In most brain computer interface (BCI) systems, some target users have significant difficulty in using BCI systems. Such target users are called ‘BCI-illiterate’. This phenomenon has been poorly investigated, and a clear understanding of the BCI-illiteracy mechanism or a solution to this problem has...
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| Format: | Online |
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Public Library of Science
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3838377/ |
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pubmed-38383772013-11-25 High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery Ahn, Minkyu Cho, Hohyun Ahn, Sangtae Jun, Sung Chan Research Article In most brain computer interface (BCI) systems, some target users have significant difficulty in using BCI systems. Such target users are called ‘BCI-illiterate’. This phenomenon has been poorly investigated, and a clear understanding of the BCI-illiteracy mechanism or a solution to this problem has not been reported to date. In this study, we sought to demonstrate the neurophysiological differences between two groups (literate, illiterate) with a total of 52 subjects. We investigated recordings under non-task related state (NTS) which is collected during subject is relaxed with eyes open. We found that high theta and low alpha waves were noticeable in the BCI-illiterate relative to the BCI-literate people. Furthermore, these high theta and low alpha wave patterns were preserved across different mental states, such as NTS, resting before motor imagery (MI), and MI states, even though the spatial distribution of both BCI-illiterate and BCI-literate groups did not differ. From these findings, an effective strategy for pre-screening subjects for BCI illiteracy has been determined, and a performance factor that reflects potential user performance has been proposed using a simple combination of band powers. Our proposed performance factor gave an r = 0.59 (r2 = 0.34) in a correlation analysis with BCI performance and yielded as much as r = 0.70 (r2 = 0.50) when seven outliers were rejected during the evaluation of whole data (N = 61), including BCI competition datasets (N = 9). These findings may be directly applicable to online BCI systems. Public Library of Science 2013-11-22 /pmc/articles/PMC3838377/ /pubmed/24278339 http://dx.doi.org/10.1371/journal.pone.0080886 Text en © 2013 Ahn et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Ahn, Minkyu Cho, Hohyun Ahn, Sangtae Jun, Sung Chan |
| spellingShingle |
Ahn, Minkyu Cho, Hohyun Ahn, Sangtae Jun, Sung Chan High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery |
| author_facet |
Ahn, Minkyu Cho, Hohyun Ahn, Sangtae Jun, Sung Chan |
| author_sort |
Ahn, Minkyu |
| title |
High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery |
| title_short |
High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery |
| title_full |
High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery |
| title_fullStr |
High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery |
| title_full_unstemmed |
High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery |
| title_sort |
high theta and low alpha powers may be indicative of bci-illiteracy in motor imagery |
| description |
In most brain computer interface (BCI) systems, some target users have significant difficulty in using BCI systems. Such target users are called ‘BCI-illiterate’. This phenomenon has been poorly investigated, and a clear understanding of the BCI-illiteracy mechanism or a solution to this problem has not been reported to date. In this study, we sought to demonstrate the neurophysiological differences between two groups (literate, illiterate) with a total of 52 subjects. We investigated recordings under non-task related state (NTS) which is collected during subject is relaxed with eyes open. We found that high theta and low alpha waves were noticeable in the BCI-illiterate relative to the BCI-literate people. Furthermore, these high theta and low alpha wave patterns were preserved across different mental states, such as NTS, resting before motor imagery (MI), and MI states, even though the spatial distribution of both BCI-illiterate and BCI-literate groups did not differ. From these findings, an effective strategy for pre-screening subjects for BCI illiteracy has been determined, and a performance factor that reflects potential user performance has been proposed using a simple combination of band powers. Our proposed performance factor gave an r = 0.59 (r2 = 0.34) in a correlation analysis with BCI performance and yielded as much as r = 0.70 (r2 = 0.50) when seven outliers were rejected during the evaluation of whole data (N = 61), including BCI competition datasets (N = 9). These findings may be directly applicable to online BCI systems. |
| publisher |
Public Library of Science |
| publishDate |
2013 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3838377/ |
| _version_ |
1612030129312104448 |