Dynamics of the EEG sensorimotor and alpha rhythm amplitude patterns in a training series of controlling the power platform with visual feedback

Sergei Makhin ,Elena Birukova,E N Chuyan ,O V Kubryak

doi:10.1051/shsconf/20197009006

Abstract

The study of the EEG alpha reactivity patterns in the prefrontal, central, parietal and occipital regions involved 25 healthy male subjects who participated in four training sessions of controlling the power platform with visual feedback. A significant prefrontal alpha rhythm synchronization was found which was not essentially modulated in a series of subsequent trainings. A significant desynchronization of the occipital alpha was registered for the second session which gradually increased up to the fourth session. The sensorimotor alpha rhythm didn’t show regular patterns. The use of the dominant (right) hand resulted in a significant desynchronization of the parietal alpha in the right hemisphere in the third and the fourth training sessions.

Highlights

The fields of design and practical application for many types of augmenting and rehabilitation devices such as limb prostheses [1], exoskeletons [2], training and rehabilitation simulators [3] undergo a rapid development
The present research is of high relevance based on the fact that it will contribute to creating a basic model of a typical dynamics of development of the EEG reactivity patterns in healthy subjects while working with the power platform
The ANOVA results showing the significance of differences in the EEG alpha rhythm amplitudes depending on the main factors and their interaction are presented in the Table 1

Summary

Introduction

The fields of design and practical application for many types of augmenting and rehabilitation devices such as limb prostheses [1], exoskeletons [2], training and rehabilitation simulators [3] undergo a rapid development To help develop these fields more effectively, it is necessary to accumulate quite a vast theoretical and empirical knowledge on the issues related to determining the optimal dosages and modes of motor rehabilitation, for example, when working with post-stroke patients [4]. There are currently being actively studied the options of implementing the power joystick based on the ST-150 stabilometric platform with a feedback screen designed with the focus on rehabilitation of the upper limb functions. The present research is of high relevance based on the fact that it will contribute to creating a basic model of a typical dynamics of development of the EEG reactivity patterns in healthy subjects while working with the power platform

Methods

Results

Conclusion