TY  - JOUR
A1  - Kleih-Dahms, Sonja Christina
A1  - Botrel, Loic
A1  - Kübler, Andrea
T1  - The influence of motivation and emotion on sensorimotor rhythm-based brain-computer interface performance
JF  - Psychophysiology
N2  - While decades of research have investigated and technically improved brain–computer interface (BCI)-controlled applications, relatively little is known about the psychological aspects of brain–computer interfacing. In 35 healthy students, we investigated whether extrinsic motivation manipulated via monetary reward and emotional state manipulated via video and music would influence behavioral and psychophysiological measures of performance with a sensorimotor rhythm (SMR)-based BCI. We found increased task-related brain activity in extrinsically motivated (rewarded) as compared with nonmotivated participants but no clear effect of emotional state manipulation. Our experiment investigated the short-term effect of motivation and emotion manipulation in a group of young healthy subjects, and thus, the significance for patients in the locked-in state, who may be in need of a BCI, remains to be investigated.
KW  - brain-computer interface
KW  - sensorimotor rhythm
KW  - psychological variables
KW  - motivation
KW  - emotional state
KW  - electroencephalogram
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-259664
VL  - 58
IS  - 8
ER  - 
TY  - JOUR
A1  - Real, Ruben G. L.
A1  - Kotchoubey, Boris
A1  - Kübler, Andrea
T1  - Studentized continuous  wavelet transform (t-CWT) in the analysis of individual ERPs: real and simulated EEG data
N2  - This study aimed at evaluating the performance of the Studentized Continuous Wavelet Transform (t-CWT) as a method for the extraction and assessment of event-related brain potentials (ERP) in data from a single subject. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of the t-CWT were assessed and compared to a variety of competing procedures using simulated EEG data at six low signal-to-noise ratios. Results show that the t-CWT combines high sensitivity and specificity with favorable PPV and NPV. Applying the t-CWT to authentic EEG data obtained from 14 healthy participants confirmed its high sensitivity. The t-CWT may thus be well suited for the assessment of weak ERPs in single-subject settings.
KW  - electroencephalogram
KW  - wavelet
KW  - EEG
KW  - t-CWT
KW  - significance
KW  - detection
KW  - ERP
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-113581
ER  -