BIOMAT Database Logo BIOMAT Database Logo

[Brain-computer interface-based motor imagery training for patients with neurological movement disorders]. 2018

S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
Lomonosov Moscow State University, Moscow, Russia.

OBJECTIVE To study the electric brain activity during motor imagery task in the brain-computer interface (BCI) in motor-disabled patients to determine the optimal ways for using BCI-based ideomotor training in medical rehabilitation. METHODS The study included 26 patients with arm motor dysfunction caused by a stroke or a spinal cord injury. They were involved in motor imagery training in the BCI. The power and localization of electroencephalographic (EEG) event-related desynchronization during imagery of different arm movements were measured. The accuracy in the two-command BCI was assessed. CONCLUSIONS The pattern of imagery-related EEG desynchronization showed the typical localization for such tasks. Despite the fact that the power of EEG reactions during motor imagery in motor-disabled patients was on average lower than in healthy subjects during a similar task, all the patients were able to achieve high accuracy in the two-command BCI system after several (at least three) training sessions. Our results demonstrate the great potential for using BCI-based motor imagery training for neurorehabilitation of patients with motor dysfunctions.

UI MeSH Term Description Entries
D007092 Imagination A new pattern of perceptual or ideational material derived from past experience. Imaginations
D009068 Movement The act, process, or result of passing from one place or position to another. It differs from LOCOMOTION in that locomotion is restricted to the passing of the whole body from one place to another, while movement encompasses both locomotion but also a change of the position of the whole body or any of its parts. Movement may be used with reference to humans, vertebrate and invertebrate animals, and microorganisms. Differentiate also from MOTOR ACTIVITY, movement associated with behavior. Movements
D009069 Movement Disorders Syndromes which feature DYSKINESIAS as a cardinal manifestation of the disease process. Included in this category are degenerative, hereditary, post-infectious, medication-induced, post-inflammatory, and post-traumatic conditions. Dyskinesia Syndromes,Etat Marbre,Status Marmoratus,Movement Disorder Syndromes,Dyskinesia Syndrome,Movement Disorder,Movement Disorder Syndrome
D004569 Electroencephalography Recording of electric currents developed in the brain by means of electrodes applied to the scalp, to the surface of the brain, or placed within the substance of the brain. EEG,Electroencephalogram,Electroencephalograms
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D062207 Brain-Computer Interfaces Instrumentation consisting of hardware and software that communicates with the BRAIN. The hardware component of the interface records brain signals, while the software component analyzes the signals and converts them into a command that controls a device or sends a feedback signal to the brain. Brain Machine Interface,Brain-Computer Interface,Brain-Machine Interfaces,Brain Computer Interface,Brain Computer Interfaces,Brain Machine Interfaces,Brain-Machine Interface,Interface, Brain Machine,Interface, Brain-Computer,Interface, Brain-Machine,Interfaces, Brain Machine,Interfaces, Brain-Computer,Interfaces, Brain-Machine,Machine Interface, Brain,Machine Interfaces, Brain

Related Publications

S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
Neurofeedback-based motor imagery training for brain-computer interface (BCI).
April 2009, Journal of neuroscience methods,
S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement.
January 2017, Neural computing & applications,
S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
Neurophysiological substrates of stroke patients with motor imagery-based Brain-Computer Interface training.
June 2014, The International journal of neuroscience,
S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
Calibrating EEG-based motor imagery brain-computer interface from passive movement.
January 2011, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference,
S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
Hierarchical Transformer for Motor Imagery-Based Brain Computer Interface.
November 2023, IEEE journal of biomedical and health informatics,
S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
A binary motor imagery tasks based brain-computer interface for two-dimensional movement control.
December 2017, Journal of neural engineering,
S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
Electroencephalography-Based Brain-Computer Interface Motor Imagery Classification.
January 2022, Journal of medical signals and sensors,
S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
A motor imagery based brain-computer interface for stroke rehabilitation.
January 2012, Studies in health technology and informatics,
S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
Control 2-dimensional movement using a three-class motor imagery based brain-computer interface.
January 2012, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference,
S P Liburkina, and A N Vasilyev, and A Ya Kaplan, and G E Ivanova, and A S Chukanova
Extending motor imagery by speech imagery for brain-computer interface.
January 2013, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference,
Copied contents to your clipboard!