A. Bouchra, H. H. Bouchra, D. Ahmad, F. Quandt, and F. C. Hummel, Electroencephalography mea The innuence of functional electrical stimulation on hand motor recovery in stroke patients : a review, Experimental & Translational Stroke Medicine, vol.6, issue.1, pp.9-14, 2014.

G. Raisman, Neuronal plasticity in the septal nuclei of the adult rat, Brain Research, vol.14, issue.1, pp.25-48, 1969.
DOI : 10.1016/0006-8993(69)90029-8

. Riding, R. J. Sadler-smith-]-riding, and E. Sadler-smith, Cognitive Style and Learning Strategies: Some Implications for Training Design, International Journal of Training and Development, vol.1, issue.3, pp.199-208, 1997.
DOI : 10.1111/1468-2419.00020

. Rimbert, Grasp'it : une interface cerveau-ordinateur pour l'amélioration de l'apprentissage d'une tâche d'imagination motrice kinesthésique, 29eme conférence francophone sur l'Interaction Homme-Machine, p.29, 2017.

. Rinderknecht, Combined tendon vibration and virtual reality for post-stroke hand rehabilitation, 2013 World Haptics Conference (WHC), pp.277-282, 2013.
DOI : 10.1109/WHC.2013.6548421

. Sharma, Motor imagery after stroke: Relating outcome to motor network connectivity, Annals of Neurology, vol.8, issue.5, pp.604-616, 2009.
DOI : 10.1161/01.STR.23.5.668

. Sharma, Motor Imagery: A Backdoor to the Motor System After Stroke?, Stroke, vol.37, issue.7, pp.1941-1952, 2006.
DOI : 10.1161/01.STR.0000226902.43357.fc

. Sharma, Motor Imagery After Subcortical Stroke: A Functional Magnetic Resonance Imaging Study, Stroke, vol.40, issue.4, pp.1315-1324, 2009.
DOI : 10.1161/STROKEAHA.108.525766

. Shin, EEects of virtual reality-based rehabilitation on distal upper extremity function and health-related quality of life : a single-blinded, randomized controlled trial, Journal of NeuroEngineering and Rehabilitation, vol.13, issue.1 5, 2016.

. Siengsukon, C. F. Boyd-]-siengsukon, and L. A. Boyd, Sleep Enhances Implicit Motor Skill Learning in Individuals Poststroke, Topics in Stroke Rehabilitation, vol.88, issue.3, pp.1-12, 2008.
DOI : 10.1046/j.1365-2702.1999.00267.x

. Sigrist, Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review, Psychonomic Bulletin & Review, vol.11, issue.3, pp.21-53, 2012.
DOI : 10.1162/105474602317473240

E. Smith, Locked-in syndrome, BMJ, vol.330, issue.7488, pp.406-409, 2005.
DOI : 10.1136/bmj.330.7488.406

. Suminski, Incorporating Feedback from Multiple Sensory Modalities Enhances Brain-Machine Interface Control, Journal of Neuroscience, vol.30, issue.50, pp.3016777-16787, 2010.
DOI : 10.1523/JNEUROSCI.3967-10.2010

G. Schéma-détaillant-le-positionnement-des-Électrodes-de and /. It-sur-le-casque-eegfr, Adapté de http, p.70

J. Bland, D. Altman, S. Braun, A. Beurskens, P. Borm et al., Cronbach's alpha The effects of mental practice in stroke rehabilitation: a systematic review, BMJ Arch Phys Med Rehabil, vol.31487, pp.572842-52, 1997.

A. Butler, J. Cazeaux, A. Fidler, J. Jansen, N. Lefkove et al., The Movement Imagery Questionnaire-Revised, Second Edition (MIQ-RS) Is a Reliable and Valid Tool for Evaluating Motor Imagery in Stroke Populations, Evidence-Based Complementary and Alternative Medicine, vol.273, issue.5281, 2012.
DOI : 10.1097/NPT.0b013e3181c2112b

B. Byrne, A primer of LISREL: basic application programming for confirmatory factor analytic models, 1989.
DOI : 10.1007/978-1-4613-8885-2

B. Calvo-merino, D. Glaser, J. Grezes, R. Passingham, and P. Haggard, Action Observation and Acquired Motor Skills: An fMRI Study with Expert Dancers, Cerebral Cortex, vol.15, issue.8, pp.1243-1252, 2005.
DOI : 10.1093/cercor/bhi007

J. Cohen, Statistical Power Analysis for the behavioral sciences, 1988.

L. Fadiga, G. Buccino, L. Craighero, L. Fogassi, V. Gallese et al., Corticospinal excitability is specifically modulated by motor imagery: a magnetic stimulation study, Neuropsychologia, vol.37, issue.2, pp.147-58, 1999.
DOI : 10.1016/S0028-3932(98)00089-X

E. Gerardin, A. Sirigu, S. Lehericy, J. Poline, B. Gaymard et al., Partially Overlapping Neural Networks for Real and Imagined Hand Movements, Cerebral Cortex, vol.10, issue.11, pp.1093-104, 2000.
DOI : 10.1093/cercor/10.11.1093
URL : https://hal.archives-ouvertes.fr/hal-00349826

M. Gregg, C. Hall, and A. Butler, The MIQ-RS: A Suitable Option for Examining Movement Imagery Ability, Evidence-Based Complementary and Alternative Medicine, vol.14, issue.2, pp.249-57, 2010.
DOI : 10.1177/0888439004265249

C. Hall, E. Buckolz, and G. Fishburne, Imagery and the acquisition of motor skills, Can J Sport Sci, vol.17, pp.19-27, 1992.

C. Hall and K. Martin, Measuring movement imagery abilities: a revision of the movement imagery questionnaire, J Ment Imagery, vol.21, pp.143-54, 1997.

C. Hall, J. Pongrac, D. Hooper, J. Coughlan, and M. Mullen, Movement Imagery Quastionnaire Structural equation modelling: guidelines for determining model fit, Elect J Bus Res Methods, vol.136, pp.53-60, 1983.

M. Jeannerod, Mental imagery in the motor context, Neuropsychologia, vol.33, issue.11, pp.1419-1451, 1995.
DOI : 10.1016/0028-3932(95)00073-C
URL : https://hal.archives-ouvertes.fr/hal-00655242

M. Jeannerod, Neural Simulation of Action: A Unifying Mechanism for Motor Cognition, NeuroImage, vol.14, issue.1, pp.103-112, 2001.
DOI : 10.1006/nimg.2001.0832

K. Liu, C. Chan, T. Lee, and C. Hui-chan, Mental imagery for promoting relearning for people after stroke: A randomized controlled trial11No party having a direct interest in the results of the research supporting this article has or will confer a benefit on the author(s) or on any organization with which the author(s) is/are associated., Archives of Physical Medicine and Rehabilitation, vol.85, issue.9, pp.1403-1411, 2004.
DOI : 10.1016/j.apmr.2003.12.035

J. Lorant and N. N. , Validation de la traduction fran??aise du Movement Imagery Questionnaire-Revised (MIQ-R), Science & Motricit??, vol.53, issue.53, pp.57-68, 2004.
DOI : 10.3917/sm.053.0057

B. Lorey, S. Pilgramm, M. Bischoff, R. Stark, D. Vaitl et al., Activation of the Parieto-Premotor Network Is Associated with Vivid Motor Imagery???A Parametric fMRI Study, PLoS ONE, vol.23, issue.5, p.20368, 2011.
DOI : 10.1371/journal.pone.0020368.t005

F. Malouin, C. Richards, J. Desrosiers, and J. Doyon, Bilateral slowing of mentally simulated actions after stroke, NeuroReport, vol.15, issue.8, pp.1349-53, 2004.
DOI : 10.1097/01.wnr.0000127465.94899.72

S. Page, P. Levine, and A. Leonard, Mental Practice in Chronic Stroke: Results of a Randomized, Placebo-Controlled Trial, Stroke, vol.38, issue.4, pp.1293-1300, 2007.
DOI : 10.1161/01.STR.0000260205.67348.2b

S. Page, P. Levine, S. Sisto, and M. Johnston, A randomized efficacy and feasibility study of imagery in acute stroke, Clinical Rehabilitation, vol.81, issue.4, pp.233-273, 2001.
DOI : 10.1053/mr.2000.3837

S. Page, P. Levine, S. Sisto, and M. Johnston, Mental Practice Combined With Physical Practice for Upper-Limb Motor Deficit in Subacute Stroke, Physical Therapy, vol.81, issue.8, pp.1455-62, 2001.
DOI : 10.1093/ptj/81.8.1455

C. Porro, M. Francescato, V. Cettolo, M. Diamond, P. Baraldi et al., Primary motor and sensory cortex activation during motor performance and motor imagery: a functional magnetic resonance imaging study, J Neurosci, vol.16, pp.7688-98, 1996.

R. Schumacker and R. Lomax, A Beginner's Guide to Structural Equation Modelling, 2004.

N. Sharma, V. Pomeroy, and J. Baron, Motor Imagery: A Backdoor to the Motor System After Stroke?, Stroke, vol.37, issue.7, pp.1941-52, 2006.
DOI : 10.1161/01.STR.0000226902.43357.fc

P. Shrout and J. Fleiss, Intraclass correlations: Uses in assessing rater reliability., Psychological Bulletin, vol.86, issue.2, pp.420-428, 1979.
DOI : 10.1037/0033-2909.86.2.420

A. Guillot, C. Collet, V. A. Nguyen, F. Malouin, C. Richards et al., Brain activity during visual versus kinesthetic imagery: An fMRI study, Human Brain Mapping, vol.16, issue.7, pp.2157-217, 2009.
DOI : 10.1113/jphysiol.1995.sp020554

F. Cincotti, F. Pichiorri, P. Arico, A. F. Leotta, F. De-vicofallani et al., EEG-based Brain-Computer Interface to support post-stroke motor rehabilitation of the upper limb, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4112-4117, 2012.
DOI : 10.1109/EMBC.2012.6346871
URL : https://hal.archives-ouvertes.fr/hal-01443261

S. Rimbert, S. Fleck, J. Nex, and L. Bougrain, Nécessité d'un protocole d'apprentissage progressif pour la maîtrise d'une imagination motrice après un AVC. 28ième conférence francophone sur l'Interaction Homme- Machine, pp.10-12, 2016.