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A study on EEG power and connectivity in a virtual reality bimanual rehabilitation training system
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Advisor(s)
Abstract(s)
The study of neural processes that describe
bimanual activity in areas such as neurology and rehabilitation
are of high interest, in particular for rehabilitation after brain
injury. However, brain processes during bimanual motor
rehabilitation are not fully understood during stroke
rehabilitation. Hence, it is not clear how to exploit them and their
possible advantages in an EEG driven Virtual Reality (VR)
training. In this work, VR and EEG were combined to study the
neural processes in motor areas during bimanual activity in a
serious game, involving two kind of movements: Left to Right
(L2R) movement (Right handle forward and Left handle
backward movements) and Right to Left (R2L) movement
(Right handle backward and Left handle forward movements).
10 right handed healthy people (7 Males, 3 Females, 29.9 ± 6.21
years old) participated in this study. As it was expected,
differences between rest and bimanual activity conditions (L2R
and R2L) were found, surprisingly, on lowest frequency bands,
Delta and Theta. More relevant results were found on Delta
band at the right Hemisphere and inter-hemispherical relations,
specifically for intra-hemispherical connectivity for CPSD
relations with p=0.005 (L2R) and p=0.02 (R2L), and power
quantified with PSD with p=0.023 (L2R) and p=0.03 (R2L),
while inter-hemispherical connectivity got lower values on
resting compared to L2R movement with a p=0.015. Besides,
comparisons between resting and movement in Theta band
showed significant results for inter-hemispherical connectivity
(p=0.03, L2R vs Rest, and R2L vs Rest) and differences in power
for Left Hemisphere (p=0.05). Finally, non-significant
differences were found in motor cortex between the two kind of
bimanual activities tested on this work. These results create an
opening scenario to test for mirror effect of bimanual activities
from one hemisphere to another on populations with hemi
paretic conditions, aiming to apply it in a near future as therapy
for Stroke Survivors.
Description
Keywords
EEG power and connectivity Rehabilitation training system Virtual reality . Faculdade de Ciências Exatas e da Engenharia
Citation
Blanco-Mora, D. A., Almeida, Y., Vieira, C., & Bermúdez i Badia, S. (2019, October). A study on EEG power and connectivity in a virtual reality bimanual rehabilitation training system. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 2818-2822). IEEE.
Publisher
IEEE