**Author details**

Maryam Alimardani1,2\*, Shuichi Nishio<sup>2</sup> and Hiroshi Ishiguro2,3

\*Address all correspondence to: m.alimardani@uvt.nl

1 Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands

[11] Annett J. Motor imagery: Perception or action? Neuropsychologia. 1995;**33**(11):1395-1417 [12] Pfurtscheller G, Neuper C. Motor imagery and direct brain-computer communication.

Brain-Computer Interface and Motor Imagery Training: The Role of Visual Feedback and Embodiment

http://dx.doi.org/10.5772/intechopen.78695

85

[13] Blankertz B, Dornhege G, Krauledat M, Müller KR, Curio G. The non-invasive Berlin brain-computer interface: Fast acquisition of effective performance in untrained sub-

[14] Nijboer F, Furdea A, Gunst I, Mellinger J, McFarland DJ, Birbaumer N, Kübler A.An auditory brain-computer interface (BCI). Journal of Neuroscience Methods. 2008;**167**(1):43-50

[15] Chatterjee A, Aggarwal V, Ramos A, Acharya S, Thakor NV. A brain-computer interface with vibrotactile biofeedback for haptic information. Journal of Neuroengineering and

[16] Gomez-Rodriguez M, Peters J, Hill J, Schölkopf B, Gharabaghi A, Grosse-Wentrup M. Closing the sensorimotor loop: Haptic feedback facilitates decoding of motor imag-

[17] Kleih SC, Riccio A, Mattia D, Kaiser V, Friedrich EVC, Scherer R, Kübler A. et al. Motivation influences performance in SMR-BCI. na. In: Proceeding of the 5th International Brain-

[18] Leeb R, Lee F, Keinrath C, Scherer R, Bischof H, Pfurtscheller G. Brain-computer communication: Motivation, aim, and impact of exploring a virtual apartment. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2007;**15**(4):473-482 [19] Myrden A, Chau T. Effects of user mental state on EEG-BCI performance. Frontiers in

[20] Ron-Angevin R, Díaz-Estrella A. Brain-computer interface: Changes in performance

[21] Barbero Á, Grosse-Wentrup M. Biased feedback in brain-computer interfaces. Journal of

[22] Alimardani M, Nishio S, Ishiguro H. Effect of biased feedback on motor imagery learning in BCI-teleoperation system. Frontiers in Systems Neuroscience. 2014;**8**:52

[23] Jeannerod M, Frak V. Mental imaging of motor activity in humans. Current Opinion in

[24] Jeannerod M. The representing brain: Neural correlates of motor intention and imagery.

[25] Pfurtscheller G, Neuper C. Motor imagery activates primary sensorimotor area in

[26] Pfurtscheller G, Brunner C, Schlögl A, Da Silva FL. Mu rhythm (de) synchronization and EEG single-trial classification of different motor imagery tasks. NeuroImage.

using virtual reality techniques. Neuroscience Letters. 2009;**449**(2):123-127

Proceedings of the IEEE. 2001;**89**(7):1123-1134

ery. Journal of Neural Engineering. 2011;**8**(3):036005

Computer Interface Conference. 2011:108-111

Neuroengineering and Rehabilitation. 2010;**7**(1):34

Behavioral and Brain Sciences. 1994;**17**(2):187-202

humans. Neuroscience Letters. 1997;**239**(2-3):65-68

Human Neuroscience. 2015;**9**:308

Neurobiology. 1999;**9**(6):735-739

2006;**31**(1):153-159

jects. NeuroImage. 2007;**37**(2):539-550

Rehabilitation. 2007;**4**(1):40

2 Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan

3 Department of Systems Innovation, Osaka University, Osaka, Japan
