BRAIN-COMPUTER-INTERFACE – SUPPORTED MOTOR IMAGERY TRAININTG FOR PATIENTS WITH HEMIPARESIS-Reference-Cited by-同舟云学术

BRAIN-COMPUTER-INTERFACE – SUPPORTED MOTOR IMAGERY TRAININTG FOR PATIENTS WITH HEMIPARESIS

Published:2013-04-28 Issue:2 Volume:12 Page:30-39
ISSN:1819-3684
Container-title:Bulletin of Siberian Medicine
language:
Short-container-title:Bûll. sib. med.

Author:

Mokienko O. A.¹,Bobrov P. D.²,Chernikova L. A.³,Frolov A. A.²

Affiliation:

1. Institute of Higher Nervous Activity and Neurophysiology, RAS, Moscow; Research Center of Neurology RAMS, Moscow

2. Institute of Higher Nervous Activity and Neurophysiology, RAS, Moscow; Technical University, Ostrava, Czech Republic

3. Research Center of Neurology RAMS, Moscow

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.

Publisher

Siberian State Medical University

Subject

Molecular Medicine

Reference10 articles.

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.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning Motor Imagery under EEG-Directed Neuromuscular Stimulation Inducing Congruent and Incongruent Wrist Movements;Human Physiology;2019-07

2. BRAIN-COMPUTER INTERFACE FOR POST-STROKE REHABILITATION OF PATIENTS WITH MOTOR DISORDERS;Ulyanovsk Medico-biological Journal;2019-03-11

3. The Changes of Corticospinal Excitability During the Control of Artificial Hand Through the Brain–Computer Interface Based on the P300 Component of Visual Evoked Potential;Human Physiology;2019-03

4. Use of Robotic Devices in Post-Stroke Rehabilitation;Neuroscience and Behavioral Physiology;2018-11

5. Modeling Light Propagation through the Tissues of the Head Taking Account of Scattering Anisotropy to Optimize the Positioning of Irradiation Detectors and Sources in a Brain–Computer Interface Based on Near Infrared Spectroscopy;Neuroscience and Behavioral Physiology;2018-11