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The improvement of patient's rehabilitation methods in patients with motor disorders using neurointerface-virtual environment- biofeedback technologies
Russian Federation (HCCM Russia) - Samara State Medical University, Samara
Normal Physiology Department of Neurointerface and Applied Neurophysiology
Professor Vasiliy F. Pyatin Grand PhD in Medical sciences
Associate Professor Mariya S. Sergeeva PhD in Biological sciences
Type of Research Project
- Basic science
What is the background of the project?
18-20 years old volunteers will be recruited for the experiment. The study will be held with the use of non-invasive Electroencephalography neurointerface. Biofeedback will serve as following: sensorimotor gain and accurately planned motor image will result into a sensorimotor pre-activation for the best motor image of the hand and finally it will cause a robot-hand movement.
What is the aim of the project?
The aim of the project is to prove the effectiveness of the technology "neurointerface-virtual environment-biofeedback" in the rehabilitation of patients with motor disorders; to find out how to improve the process of future patients training to control virtual objects.
What techniques and methods are used?
Electroencephalography data will be acquired using a BrainAmp 128-channel amplifier; the technology of sensorimotor pre-activation for the best motor image; technology of virtual reality and Electroencephalography processing. Calculation of data will be done in MATLAB software using statistical analysis methods like Logistic regression and receiver operating characteristic analysis. To make the Brain–computer interface work these paradigms will be used: Basic paradigm for oscillatory processes, «Add-ball» paradigm, Р300 paradigm, Dual-Augmented Lagrange, High-Frequency DAL. Which are based on Independent Component Analysis. This software is used in processing Brain–computer interface BCILab, EEGLab, PsychoPy.
What is the role of the student?
- The student will mainly observe
- The student will observe the practical experiments but will be highly involved in the analysis of the results
- The tasks of the student will be performed on his/her own
- The tasks will be done under supervision
What are the tasks expected to be accomplished by the student?
The student will listen to a brief overview of the researches about the virtual reality, biofeedback and neurointeface prepared by their tutor, than they will take part in the study: first as a volunteer (to feel him/herself how it works), than under the supervision of tutors they will be recording an Electroencephalography, summing up and analysing the results of the project. Calculation of data will be done in MATLAB software using statistical analysis methods like Logistic regression and receiver operating characteristic analysis. Processing Brain–computer interface will be done in these software BCILab, EEGLab, PsychoPy. At the end they will write an article. The student will acquire the skills of multi-channel EEG (Electroencephalography) recording, master the techniques of signal processing of Electroencephalography, gain knowledge about the technology of virtual reality, learn how to use neurointerface-virtual environment- biofeedback in the studies of brain function.
Will there be any theoretical teaching provided (preliminary readings, lectures, courses, seminars etc)
Lectures about BCI and biofeedback, the relevance and the medical value of the problem; practical course of virtual reality
What is expected from the student at the end of the research exchange? What will be the general outcome of the student?
- The student will prepare a scientific report - The student will prepare an abstract
What skills are required of the student? Is there any special knowledge or a certain level of studies needed?
Final test or examination in Physiology and Neurology should be passed. The student should have at least general knowledge of the Brain?computer interface and methods of Electroencephalography biofeedback.
Are there any legal limitations in the student’s involvement
Type of students accepted
This project accepts: - Medical students - Graduated students (less than 6 months)
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