BRAIN-COMPUTER-INTERFACE – SUPPORTED MOTOR IMAGERY TRAININTG FOR PATIENTS WITH HEMIPARESIS
https://doi.org/10.20538/1682-0363-2013-2-30-39
Abstract
The aim of study was to assess the feasibility of motor imagery supported brain-computer interface in patients with hemiparesis. 13 patients with central paresis of the hand and 15 healthy volunteers were learning to control EEG-based interface with feedback. No differences on interface control quality were found between patients and healthy subjects. The trainings were accompanied by the desynchronization of sensorimotor rhythm. In patients with cortical damage the source of EEG-activity was dislocated.
About the Authors
O. A. Mokienko
Institute of Higher Nervous Activity and Neurophysiology, RAS, Moscow; Research Center of Neurology RAMS, Moscow
Russian Federation
Mokienko Olesya A. - Laboratory of Mathematical Neuroscience training, Institute of Higher Nervous Activity and Neurophysiology, RAS, Department of Neurorehabilitation and Physical Therapy, Research Center of Neurology, RAMS, Moscow
Russian Federation
Mokienko Olesya A. - Laboratory of Mathematical Neuroscience training, Institute of Higher Nervous Activity and Neurophysiology, RAS, Department of Neurorehabilitation and Physical Therapy, Research Center of Neurology, RAMS, Moscow
P. D. Bobrov
Institute of Higher Nervous Activity and Neurophysiology, RAS, Moscow; Technical University, Ostrava, Czech Republic
Russian Federation
Bobrov Pavel D.- Laboratory of Mathematical Neuroscience training, Institute of Higher Nervous Activity and Neurophysiology, RAS, Moscow; Electronics and Informatics Department, Technical University, Ostrava, Czech Republic
Russian Federation
Bobrov Pavel D.- Laboratory of Mathematical Neuroscience training, Institute of Higher Nervous Activity and Neurophysiology, RAS, Moscow; Electronics and Informatics Department, Technical University, Ostrava, Czech Republic
L. A. Chernikova
Research Center of Neurology RAMS, Moscow
Russian Federation
Chernikova Lyudmila A., Department of Neurorehabilitation and Physical Therapy
Russian Federation
Chernikova Lyudmila A., Department of Neurorehabilitation and Physical Therapy
A. A. Frolov
Institute of Higher Nervous Activity and Neurophysiology, RAS, Moscow; Technical University, Ostrava, Czech Republic
Russian Federation
Frolov Aleksandr A., Department of Neurorehabilitation and Physical Therapy, Research Center of Neurology, RAMS, Moscow, Russian Federation; Technical University, Ostrava, Czech Republic
Russian Federation
Frolov Aleksandr A., Department of Neurorehabilitation and Physical Therapy, Research Center of Neurology, RAMS, Moscow, Russian Federation; Technical University, Ostrava, Czech Republic
References
1. Bloom F., Leizerson A. et al. Brain, mind and behavior. 1988. Мoscow, Mir (in Russian).
2. Chernikova L.A. Annals of Clinical and Experimental Neurology, 2007, no 1 (2), pp. 40–47 (in Russian).
3. Crammond D.J. Motor imagery: never in your wildest dream. Trends Neurosci., 1997, 20(2), pp. 54–57.
4. Ehrss movement of fingers, toes, and tongue activates corresponding body-part-specific motor representations. J. Neurophysiol., 2003, 90 (5), pp. 3304–3316.
5. Frolov A., Husek D., Bobrov P. Comparison of four classificacion methods for brain-computer interface. Neural. Network World, 2011, 21 (2), pp. 101–115.
6. Jeannerod M. Neural simulation of action: a unifying mechanism for motor cognition. Neuroimage, 2001, 14 (1 Pt. 2), S103–109.
7. Neuper C., Scherer R., Reiner M., Pfurtscheller G. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. Brain Res. Cogn. Brain Res., 2005, 25 (3), рр. 668–677.
8. Pfurtscheller G., Lopes da Silva F.H. Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin. Neurophysiol., 1999, 110 (11), рр. 1842– 1857.
9. Prasad G., Herman P., Coyle D., McDonough S.,Crosbie J. Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study. J. Neuroeng. Rehabil., 2010, 7 (1), рр. 60.
10. Stippich C., Ochmann H., Sartor K. Somatotopic mapping of the human primary sensorimotor cortex during motor imagery and motor execution by functional magnetic resonance imaging. Neurosci. Lett., 2002, 331 (1), рр. 50– 54.
Review
For citations:
Mokienko O.A., Bobrov P.D., Chernikova L.A., Frolov A.A. BRAIN-COMPUTER-INTERFACE – SUPPORTED MOTOR IMAGERY TRAININTG FOR PATIENTS WITH HEMIPARESIS. Bulletin of Siberian Medicine. 2013;12(2):30-39. (In Russ.) https://doi.org/10.20538/1682-0363-2013-2-30-39
Views:
817
Email this article 