Prediction of auditory and visual p300 brain-computer interface aptitude.
<h4>Objective</h4>Brain-computer interfaces (BCIs) provide a non-muscular communication channel for patients with late-stage motoneuron disease (e.g., amyotrophic lateral sclerosis (ALS)) or otherwise motor impaired people and are also used for motor rehabilitation in chronic stroke. Dif...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2013-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23457444/?tool=EBI |
| _version_ | 1818701182629052416 |
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| author | Sebastian Halder Eva Maria Hammer Sonja Claudia Kleih Martin Bogdan Wolfgang Rosenstiel Niels Birbaumer Andrea Kübler |
| author_facet | Sebastian Halder Eva Maria Hammer Sonja Claudia Kleih Martin Bogdan Wolfgang Rosenstiel Niels Birbaumer Andrea Kübler |
| author_sort | Sebastian Halder |
| collection | DOAJ |
| description | <h4>Objective</h4>Brain-computer interfaces (BCIs) provide a non-muscular communication channel for patients with late-stage motoneuron disease (e.g., amyotrophic lateral sclerosis (ALS)) or otherwise motor impaired people and are also used for motor rehabilitation in chronic stroke. Differences in the ability to use a BCI vary from person to person and from session to session. A reliable predictor of aptitude would allow for the selection of suitable BCI paradigms. For this reason, we investigated whether P300 BCI aptitude could be predicted from a short experiment with a standard auditory oddball.<h4>Methods</h4>Forty healthy participants performed an electroencephalography (EEG) based visual and auditory P300-BCI spelling task in a single session. In addition, prior to each session an auditory oddball was presented. Features extracted from the auditory oddball were analyzed with respect to predictive power for BCI aptitude.<h4>Results</h4>Correlation between auditory oddball response and P300 BCI accuracy revealed a strong relationship between accuracy and N2 amplitude and the amplitude of a late ERP component between 400 and 600 ms. Interestingly, the P3 amplitude of the auditory oddball response was not correlated with accuracy.<h4>Conclusions</h4>Event-related potentials recorded during a standard auditory oddball session moderately predict aptitude in an audiory and highly in a visual P300 BCI. The predictor will allow for faster paradigm selection.<h4>Significance</h4>Our method will reduce strain on patients because unsuccessful training may be avoided, provided the results can be generalized to the patient population. |
| first_indexed | 2024-12-17T15:16:47Z |
| format | Article |
| id | doaj.art-24b5f62112dd47b09acbd325a6a54540 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-17T15:16:47Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-24b5f62112dd47b09acbd325a6a545402022-12-21T21:43:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0182e5351310.1371/journal.pone.0053513Prediction of auditory and visual p300 brain-computer interface aptitude.Sebastian HalderEva Maria HammerSonja Claudia KleihMartin BogdanWolfgang RosenstielNiels BirbaumerAndrea Kübler<h4>Objective</h4>Brain-computer interfaces (BCIs) provide a non-muscular communication channel for patients with late-stage motoneuron disease (e.g., amyotrophic lateral sclerosis (ALS)) or otherwise motor impaired people and are also used for motor rehabilitation in chronic stroke. Differences in the ability to use a BCI vary from person to person and from session to session. A reliable predictor of aptitude would allow for the selection of suitable BCI paradigms. For this reason, we investigated whether P300 BCI aptitude could be predicted from a short experiment with a standard auditory oddball.<h4>Methods</h4>Forty healthy participants performed an electroencephalography (EEG) based visual and auditory P300-BCI spelling task in a single session. In addition, prior to each session an auditory oddball was presented. Features extracted from the auditory oddball were analyzed with respect to predictive power for BCI aptitude.<h4>Results</h4>Correlation between auditory oddball response and P300 BCI accuracy revealed a strong relationship between accuracy and N2 amplitude and the amplitude of a late ERP component between 400 and 600 ms. Interestingly, the P3 amplitude of the auditory oddball response was not correlated with accuracy.<h4>Conclusions</h4>Event-related potentials recorded during a standard auditory oddball session moderately predict aptitude in an audiory and highly in a visual P300 BCI. The predictor will allow for faster paradigm selection.<h4>Significance</h4>Our method will reduce strain on patients because unsuccessful training may be avoided, provided the results can be generalized to the patient population.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23457444/?tool=EBI |
| spellingShingle | Sebastian Halder Eva Maria Hammer Sonja Claudia Kleih Martin Bogdan Wolfgang Rosenstiel Niels Birbaumer Andrea Kübler Prediction of auditory and visual p300 brain-computer interface aptitude. PLoS ONE |
| title | Prediction of auditory and visual p300 brain-computer interface aptitude. |
| title_full | Prediction of auditory and visual p300 brain-computer interface aptitude. |
| title_fullStr | Prediction of auditory and visual p300 brain-computer interface aptitude. |
| title_full_unstemmed | Prediction of auditory and visual p300 brain-computer interface aptitude. |
| title_short | Prediction of auditory and visual p300 brain-computer interface aptitude. |
| title_sort | prediction of auditory and visual p300 brain computer interface aptitude |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23457444/?tool=EBI |
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