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Following stroke, patients who do not exhibit prolonged neglect, but present with hemiparesis attain some degree of recovery of function for the paretic limbs. In younger patients, such recovery may be rapid during the first 12 weeks post-CVA, but then follows a negatively accelerating curve toward a plateau below full function (Fugl-Meyer, 1975; Wing et al, 1990). The topology of recovery may be partially explained through the respective roles of crossed and uncrossed neural pathways and the recruitement of the latter. While neural factors may drive the initial phase of recovery a major component of later gains is the patient's re-learning of control.
A major role of therapy in the re-learning process is to stimulate the patient to explore strategies and highlight information that may guide the patient toward improved control (Wann & Turnbull, 1993). A typical example is biofeedback, where significant, but limited gains can be demonstrated by providing hemiparetic patients with visual information about specific muscular activity. This project would follow the suggestions of Wann & Turnbull (1993), by translating bio-feedback principles to action-feedback in a VE setting. In action feedback it is proposed that a hemi-paretic patient attempts to drive a VE display through movements of the paretic limb. The coupling of limb motion to patterns of expansion, contraction and flow within a VE means that irregularities in the kinematics of the limb are reflected in the "stuttering" flow of the display and thereby taps into a particularly acute facet of human visual perception. Such displays are not contrived, the visual transformation accurately reflects the dynamics of the limb.
Everyday, many of us get into a vehicle, see the optic field expand before them and smoothly control movements of their feet on the brake and accelerator in response to the flow. Novice drivers are erratic, but rapidly find the coupling between smooth limb movement and smooth ego-motion. The choice of foot/hand controls is arbitrary, the fact that patients will be regulating the flow field with their arms and will not in truth be moving does not devalue the pertinence and richness of the information being provided. Mapping a seemingly arbitrary manual/pedal action to the visual information that arises from ego-motion is something that is done habitually in a new car, riding a bicycle or using a laparoscope. The VR driving paradigm merely taps into the skills that most intact adults would display if Henry Ford had opted for manual rather than pedal controls for forward motion in earlier automobiles and in doing so it evokes one of the richest mediums for unmediated, rapid information transmission: optic transformations.