التفاصيل البيبلوغرافية
| العنوان: |
Cortical effects of user training in a motor imagery based brain–computer interface measured by fNIRS and EEG. |
| المؤلفون: |
Kaiser, Vera1 vera.kaiser@tugraz.at, Bauernfeind, Günther1 g.bauernfeind@tugraz.at, Kreilinger, Alex1 alex.kreilinger@tugraz.at, Kaufmann, Tobias2 tobias.kaufmann@uni-wuerzburg.de, Kübler, Andrea2 Andrea.Kuebler@uni-wuerzburg.de, Neuper, Christa1,3 christa.neuper@uni-graz.at, Müller-Putz, Gernot R.1 gernot.mueller@tugraz.at |
| المصدر: |
NeuroImage. Jan2014, Vol. 85 Issue Part 1, p432-444. 13p. |
| مصطلحات موضوعية: |
*BRAIN-computer interfaces, *MOTOR ability, *ELECTROENCEPHALOGRAPHY, *NEAR infrared spectroscopy, *BRAIN imaging, *TRAINING, *SENSORIMOTOR cortex, *NEUROPLASTICITY |
| مستخلص: |
Abstract: The present study aims to gain insights into the effects of training with a motor imagery (MI)-based brain–computer interface (BCI) on activation patterns of the sensorimotor cortex. We used functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to investigate long-term training effects across 10 sessions using a 2-class (right hand and feet) MI-based BCI in fifteen subjects. In the course of the training a significant enhancement of activation pattern emerges, represented by an [oxy-Hb] increase in fNIRS and a stronger event-related desynchronization in the upper β-frequency band in the EEG. These effects were only visible in participants with relatively low BCI performance (mean accuracy≤70%). We found that training with an MI-based BCI affects cortical activation patterns especially in users with low BCI performance. Our results may serve as a valuable contribution to the field of BCI research and provide information about the effects that training with an MI-based BCI has on cortical activation patterns. This might be useful for clinical applications of BCI which aim at promoting and guiding neuroplasticity. [Copyright &y& Elsevier] |
| قاعدة البيانات: |
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