TY - JOUR
T1 - Voluntary brain regulation and communication with electrocorticogram signals
AU - Hinterberger, Thilo
AU - Widman, Guido
AU - Lal, Thomas Navin
AU - Hill, Jeremy
AU - Tangermann, Michael
AU - Rosenstiel, Wolfgang
AU - Schölkopf, Bernhard
AU - Elger, Christian
AU - Birbaumer, Niels
PY - 2008/8
Y1 - 2008/8
N2 - Brain-computer interfaces (BCIs) can be used for communication in writing without muscular activity or for learning to control seizures by voluntary regulation of brain signals such as the electroencephalogram (EEG). Three of five patients with epilepsy were able to spell their names with electrocorticogram (ECoG) signals derived from motor-related areas within only one or two training sessions. Imagery of finger or tongue movements was classified with support-vector classification of autoregressive coefficients derived from the ECoG signals. After training of the classifier, binary classification responses were used to select letters from a computer-generated menu. Offline analysis showed increased theta activity in the unsuccessful patients, whereas the successful patients exhibited dominant sensorimotor rhythms that they could control. The high spatial resolution and increased signal-to-noise ratio in ECoG signals, combined with short training periods, may offer an alternative for communication in complete paralysis, locked-in syndrome, and motor restoration.
AB - Brain-computer interfaces (BCIs) can be used for communication in writing without muscular activity or for learning to control seizures by voluntary regulation of brain signals such as the electroencephalogram (EEG). Three of five patients with epilepsy were able to spell their names with electrocorticogram (ECoG) signals derived from motor-related areas within only one or two training sessions. Imagery of finger or tongue movements was classified with support-vector classification of autoregressive coefficients derived from the ECoG signals. After training of the classifier, binary classification responses were used to select letters from a computer-generated menu. Offline analysis showed increased theta activity in the unsuccessful patients, whereas the successful patients exhibited dominant sensorimotor rhythms that they could control. The high spatial resolution and increased signal-to-noise ratio in ECoG signals, combined with short training periods, may offer an alternative for communication in complete paralysis, locked-in syndrome, and motor restoration.
KW - Brain regulation
KW - Brain-computer interface
KW - Electrocorticogram
KW - Epilepsy
KW - Sensorimotor rhythms
UR - http://www.scopus.com/inward/record.url?scp=45649085340&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=45649085340&partnerID=8YFLogxK
U2 - 10.1016/j.yebeh.2008.03.014
DO - 10.1016/j.yebeh.2008.03.014
M3 - Article
C2 - 18495541
AN - SCOPUS:45649085340
VL - 13
SP - 300
EP - 306
JO - Epilepsy and Behavior
JF - Epilepsy and Behavior
SN - 1525-5050
IS - 2
ER -