Reorganization of the motor network associated with virtual reality parameters in response to rehabilitation after stroke

Autor: Chih-Jung Huang, 黃致榮
Rok vydání: 2016
Druh dokumentu: 學位論文 ; thesis
Popis: 104
Motor deficits of the affected upper limb (UL) after stroke affect up to two-thirds of stroke patients and conventional rehabilitation aims at reducing UL impairment, but significant variability exists between patients regarding rehabilitation efficacy. To date, the mechanisms induced by rehabilitation that can mediate the recovery process are not fully understood. In this study, we aim to identify the improvement-related motor network alternations that are correlated with the parameters acquired during rehabilitation. To this end, a home-made virtual reality (VR) based rehabilitation programme was designed to record the motion kinetics during rehabilitation treatment and EEG and dynamical causal modelling of induced responses (DCM_IR) were employed to analysis the motor network. 18 stroke subjects were recruited and underwent a VR based rehabilitation program with the frequency of 1 hour per day, five days a week. The parameters of human kinetics, such as speed/max speed, velocity and trajectory during VR-based rehabilitation were recorded digitally for correlation analysis. Before and after the rehabilitation, EEG data and were acquired during upper limb movements and the Fugl-Meyer Assessment of Physical Performance (FM) was estimated. DCM_IR was used to model the network parameters using EEG data and the changes of DCM_IR parameters after rehabilitation were then tested statistically by ANOVA. Significant changes of DCM_IR parameters were then correlated with the changes of FM scores after rehabilitation (i.e. improvement). Having established the improvement-related motor network changes, we then further tested whether a relationship existed between these changes and the changes of the parameters of motion kinetics during rehabilitation treatment. We have identified 22 coupling changes that are significantly correlated with the changes of motor kinetics induced by rehabilitation, of which 10 and 12 network changes were associated with the kinetics changes in the shooting and juggling VR games, respectively. Specifically, less inhibition loss from the ipsilateral pre-motor (iPM) gamma to SMA alpha led to improvements and this inhibitory change is positively correlated with the change in the instantaneous velocity during the shooting game. In addition, in the juggling game, we found that greater cM1 beta inhibition toward SMA alpha through less inhibition loss led to better outcome and this change was negatively related to the change in the instantaneous velocity during the affected hand movement. In conclusion, we have shown for the first time the functional role of the improvement-related motor network alternations in response to rehabilitation. The significance of this study is that we provide insights into the underlying recovery mechanism and the finding is translational in the clinical practice to develop a knowledge-based rehabilitation program that can facilitate the rehabilitation efficacy.
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