Cortical and Biomechanical Dynamics of Ankle Robotics Training in Stroke

Study Summary

Reduced mobility is often a long-term problem facing those who have chronic leg weakness resulting from stroke. Recent innovations in stroke therapy have applied motor learning principles to improve motor skills through regular practice of activities using the weaker limb. Because the ankle provides critical torques for normal walking and mobility function, impairments at the affected ankle pose a major limitation to achieving optimal mobility recovery. To address this we have developed a novel ankle robot (Anklebot) to enhance physical therapy for improving walking and mobility after stroke. This computer controlled device provides assistance when users cannot complete a movement, but will not assist if the user is active. Motor learning requires active involvement in task-related practice to mediate brain plasticity. While voluntary movement is important to remodel motor control circuits, the brain mechanisms of reward and motivation also can play an important role. Core brain networks involved in reward and motivation increase a person's involvement with their surroundings, to focus attention and to prompt one to approach reward and avoid punishment. This increased involvement and the elevated emotions associated with it have been shown to enhance performance, memory and learning. The purpose of this study is to investigate responses of brain and motor behavior of stroke patients who use the Anklebot during a 3-week / 3-session/week motor learning based training. These responses are compared to a 3-week delayed entry period in which the participants will perform an at-home walking program of equal time. After the 3-week delayed entry walking program, subjects are divided into low and high reward-feedback groups. The low reward-feedback group receives the Anklebot training with only immediate feedback on target successes, without cumulative scores and with minimal social interaction with the researchers. The high-reward group receives cumulative scores and ongoi

Primary Outcome

Normalized jerk is a measure of movement smoothness, derived from jerk \[(meters)/(second cubed)\] divided by the peak velocity (meters/second), leaving values in units of 1/second squared (ie., 1/s\^2)

Interventions

• DEVICE Anklebot (Ankle Robot)