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...

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Autores principales:	Sebastian Halder, Eva Maria Hammer, Sonja Claudia Kleih, Martin Bogdan, Wolfgang Rosenstiel, Niels Birbaumer, Andrea Kübler
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/24b5f62112dd47b09acbd325a6a54540
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spelling	oai:doaj.org-article:24b5f62112dd47b09acbd325a6a545402021-11-18T07:57:33ZPrediction of auditory and visual p300 brain-computer interface aptitude.1932-620310.1371/journal.pone.0053513https://doaj.org/article/24b5f62112dd47b09acbd325a6a545402013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23457444/?tool=EBIhttps://doaj.org/toc/1932-6203<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.Sebastian HalderEva Maria HammerSonja Claudia KleihMartin BogdanWolfgang RosenstielNiels BirbaumerAndrea KüblerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 2, p e53513 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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.
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.
format	article
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
title	Prediction of auditory and visual p300 brain-computer interface aptitude.
title_short	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_sort	prediction of auditory and visual p300 brain-computer interface aptitude.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/24b5f62112dd47b09acbd325a6a54540
work_keys_str_mv	AT sebastianhalder predictionofauditoryandvisualp300braincomputerinterfaceaptitude AT evamariahammer predictionofauditoryandvisualp300braincomputerinterfaceaptitude AT sonjaclaudiakleih predictionofauditoryandvisualp300braincomputerinterfaceaptitude AT martinbogdan predictionofauditoryandvisualp300braincomputerinterfaceaptitude AT wolfgangrosenstiel predictionofauditoryandvisualp300braincomputerinterfaceaptitude AT nielsbirbaumer predictionofauditoryandvisualp300braincomputerinterfaceaptitude AT andreakubler predictionofauditoryandvisualp300braincomputerinterfaceaptitude
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Prediction of auditory and visual p300 brain-computer interface aptitude.

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