J. R. Wolpaw and E. W. Wolpaw, BCI: Principles and Practice, 2012.

L. F. Nicolas-alonso and J. Gomez-gil, Brain Computer Interfaces, a Review, Sensors, vol.12, issue.12, pp.1211-79, 2012.
DOI : 10.3390/s120201211

B. Allison and C. Neuper, Could Anyone Use a BCI?, 2010.
DOI : 10.1007/978-1-84996-272-8_3

G. Pfurtscheller and C. Neuper, Motor imagery and direct braincomputer communication, proc. IEEE, issue.7, pp.1123-1157, 2001.

F. Lotte and C. Jeunet, Towards improved BCI based on human learning principles, The 3rd International Winter Conference on Brain-Computer Interface, 2015.
DOI : 10.1109/IWW-BCI.2015.7073024

URL : https://hal.archives-ouvertes.fr/hal-01111843

E. M. Hammer, T. Kaufmann, S. C. Kleih, B. Blankertz, and A. Kübler, Visuo-motor coordination ability predicts performance with braincomputer interfaces controlled by modulation of sensorimotor rhythms (smr), Frontiers in Human Neuroscience, vol.8, 2014.

G. Müller, T. Curio, and . Dickhaus, Neurophysiological predictor of SMR-based BCI performance, NeuroImage, issue.4, pp.1303-1312, 2010.

M. Grosse-wentrup, B. Schölkopf, and J. Hill, Causal influence of gamma oscillations on the sensorimotor rhythm, NeuroImage, vol.56, issue.2, pp.837-879, 2011.
DOI : 10.1016/j.neuroimage.2010.04.265

M. Grosse-wentrup and B. Schölkopf, High gamma-power predicts performance in sensorimotor-rhythm brain???computer interfaces, Journal of Neural Engineering, vol.9, issue.4, 2012.
DOI : 10.1088/1741-2560/9/4/046001

M. Ahn, H. Cho, S. Ahn, and S. C. Jun, High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery, PLoS ONE, vol.43, issue.11, 2013.
DOI : 10.1371/journal.pone.0080886.t001

M. Ahn, S. Ahn, J. H. Hong, H. Cho, K. Kim et al., Gamma band activity associated with BCI performance: simultaneous MEG/EEG study, Frontiers in Human Neuroscience, vol.7, 2013.
DOI : 10.3389/fnhum.2013.00848

A. Bamdadian, C. Guan, K. Ang, and J. Xu, The predictive role of precue eeg rhythms on mi-based bci classification performance, Journal of Neuroscience Methods, vol.235, 2014.

F. Nijboer, A. Furdea, I. Gunst, J. Mellinger, D. J. Mcfarland et al., An auditory brain???computer interface (BCI), Journal of Neuroscience Methods, vol.167, issue.1, pp.43-50, 2008.
DOI : 10.1016/j.jneumeth.2007.02.009

W. Burde and B. Blankertz, Is the locus of control of reinforcement a predictor of brain-computer interface performance, Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course, pp.108-117, 2006.

F. Nijboer, N. Birbaumer, and A. Kübler, The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study, Frontiers in Neuroscience, vol.4, 2010.
DOI : 10.3389/fnins.2010.00055

E. M. Hammer, S. Halder, B. Blankertz, C. Sannelli, T. Dickhaus et al., Psychological predictors of SMR-BCI performance, Biological Psychology, vol.89, issue.1, pp.80-86, 2012.
DOI : 10.1016/j.biopsycho.2011.09.006

E. V. Friedrich, C. Neuper, and R. Scherer, Whatever Works: A Systematic User-Centered Training Protocol to Optimize Brain-Computer Interfacing Individually, PLoS ONE, vol.127, issue.9, p.76214, 2013.
DOI : 10.1371/journal.pone.0076214.t002

C. Jeunet, B. N. Kaoua, M. Hachet, and F. Lotte, Predicting mentalimagery based brain-computer interface performance from personality, cognitive profil and neurophysiological patterns, 2015.

R. B. Cattell and H. E. , Personality Structure and the New Fifth Edition of the 16PF, Educational and Psychological Measurement, vol.23, issue.3, pp.926-963, 1995.
DOI : 10.1177/0013164495055006002

R. M. Felder and L. K. Silverman, Learning and teaching styles in engineering education, pp.674-81, 1988.

S. G. Vandenberg and A. R. Kuse, MENTAL ROTATIONS, A GROUP TEST OF THREE-DIMENSIONAL SPATIAL VISUALIZATION, Perceptual and Motor Skills, vol.47, issue.2, pp.599-604, 1978.
DOI : 10.1126/science.183.4122.338

S. E. Poltrock and P. Brown, Individual Differences in visual imagery and spatial ability, Intelligence, vol.8, issue.2, pp.93-138, 1984.
DOI : 10.1016/0160-2896(84)90019-9

B. P. Rourke and M. A. Finlayson, Neuropsychological significance of variations in patterns of academic performance: Verbal and visual-spatial abilities, Journal of Abnormal Child Psychology, vol.6, issue.1, pp.121-154, 1978.
DOI : 10.1007/BF00915788

A. Vromen, J. A. Verbunt, S. Rasquin, and D. T. Wade, Motor imagery in patients with a right hemisphere stroke and unilateral neglect, Brain Injury, vol.95, issue.4, pp.387-93, 2011.
DOI : 10.1080/01688638908400940

N. Hoyek, C. Collet, O. Rastello, P. Fargier, P. Thiriet et al., Enhancement of Mental Rotation Abilities and Its Effect on Anatomy Learning, Teaching and Learning in Medicine, vol.1, issue.3, pp.201-207, 2009.
DOI : 10.1007/s10459-006-9021-7

A. J. Bishop, Spatial abilities and mathematics education?A review, Educational Studies in Mathematics, vol.10, issue.4, pp.257-69, 1980.
DOI : 10.1007/BF00697739

G. Wiedenbauer and P. Jansen-osmann, Manual training of mental rotation in children, Learning and Instruction, vol.18, issue.1, pp.30-41, 2008.
DOI : 10.1016/j.learninstruc.2006.09.009

D. Moreau, J. Clerc, A. Mansy-dannay, and A. Guerrien, Enhancing Spatial Ability Through Sport Practice, Journal of Individual Differences, vol.33, issue.2, p.83, 2012.
DOI : 10.1027/1614-0001/a000075

P. Jansen, C. Titze, and M. Heil, The influence of juggling on mental rotation performance in children, Biomedical Human Kinetics, vol.3, pp.351-59, 2009.
DOI : 10.2478/v10101-011-0005-6

M. Baenninger and N. Newcombe, The role of experience in spatial test performance: A meta-analysis, Sex Roles, vol.13, issue.5, 1989.
DOI : 10.1007/BF00287729