Virtual Reality (VR) Effects on Gait Variability After Stroke
Investigating The Impact of Visual Perception
The overall goal of this research proposal is to investigate the impact of visual perception of self-motion during motor adaptation to a novel locomotor task in stroke survivors and healthy age-matched controls.
In this proposal, the perception of self-motion will be provided through a virtual reality (VR) environment. Dr. Mukherjee's preliminary studies have shown the influence of perception of self-motion on gait variability and locomotor adaptation in healthy subjects. These have been determined for several variables—spatio-temporal variables, muscle activation patterns and kinetics.
The sensitivity of variable visual feedback through Virtual Reality (VR) is explored
in order to maximize gait adaptation in this patient population. Walking, which has inherent variable characteristics, involves the integration of visual, proprioceptive and vestibular sensory information. This information is used to navigate over-ground and to adapt to alterations in the environmental and/or task. Better outcomes during gait rehabilitation of subjects with age-related gait disturbances or with sensorimotor abnormalities as a result of stroke, may be realized by manipulating the visual input instead of the proprioceptive or the vestibular inputs for two reasons. First, in the presence of information from multiple senses, visual input is given precedence. Second, augmented visual inputs during training can help to remove sensory conflicts that commonly exist during gait rehabilitation.
In the first aim, stroke survivors are compared with healthy controls for adapting to a split-belt treadmill paradigm with/without VR. In the second aim, the effect of VR on the transfer of split-belt adaptation to overground locomotion is investigated. Gait variability measures, as sensitive biomarkers of adaptation and transfer will be investigated. In the third aim, different types of variable visual feedback will be tested for optimizing gait adaptation.
Our preliminary studies and previous experiences in the field of virtual reality, gait variability and pathological gait patterns have positioned us well in utilizing this technology for the advancement of neuro-rehabilitation in the stroke population. In light of the effectiveness of various stroke rehabilitation techniques still being controversial, the need for more effective rehabilitation strategies is strongly desired.
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