13032
2013
eng
e53513
2
8
article
1
2016-03-18
--
--
Prediction of Auditory and Visual P300 Brain-Computer Interface Aptitude
Objective
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.
Methods
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.
Results
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.
Conclusions
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.
Significance
Our method will reduce strain on patients because unsuccessful training may be avoided, provided the results can be generalized to the patient population.
PLoS ONE
urn:nbn:de:bvb:20-opus-130327
PLoS ONE 8(2): e53513. doi:10.1371/journal.pone.0053513
288566
224631
227632
Sebastian Halder
Eva Maria Hammer
Sonja Claudia Kleih
Martin Bogdan
Wolfgang Rosenstiel
Niels Birbaumer
Andrea Kübler
eng
uncontrolled
experimental design
eng
uncontrolled
acoustic signals
eng
uncontrolled
amyotrophic lateral sclerosis
eng
uncontrolled
man-computer interface
eng
uncontrolled
electroencephalography
eng
uncontrolled
event-related potentials
eng
uncontrolled
physical properties
eng
uncontrolled
vision
Psychologie
open_access
Institut für Psychologie
OpenAIRE
Förderzeitraum 2012
Universität Würzburg
6633
2013
eng
article
1
2013-05-24
--
--
Prediction of Auditory and Visual P300 Brain-Computer Interface Aptitude
Objective: 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. Methods: 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. Results: 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. Conclusions: 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. Significance: Our method will reduce strain on patients because unsuccessful training may be avoided, provided the results can be generalized to the patient population.
urn:nbn:de:bvb:20-opus-77992
7799
PLoS ONE (2013) 8(2): e53513. doi:10.1371/journal.pone.0053513
224631
288566
Sebastian Halder
Eva Maria Hammer
Sonja Claudia Kleih
Martin Bogdan
Wolfgang Rosenstiel
Nils Birbaumer
Andrea Kübler
deu
swd
Psychologie
Psychologie
open_access
Institut für Psychologie
OpenAIRE
Universität Würzburg
https://opus.bibliothek.uni-wuerzburg.de/files/6633/085_journal.pone.0053513.pdf