Gait Mate: Examining Neural Networks Engaged During Lower Extremity Movement in the MRI

Study Summary

Less than 50% of stroke survivors progress to independent community ambulation. Even among the stroke survivors who achieve independent ambulation, significant residual deficits persist in balance and gait speed, with 60% of persons post-stroke reporting limitations in mobility related to walking.Consequently maximizing recovery of locomotor function is the focus of neurorehabilitation efforts worldwide. A recently completed clinical trial from members of this investigative team demonstrated that 6 weeks of treadmill training elicits substantial improvements in over ground walking speed and symmetry in persons following stroke. Consistent with the goals of the South Carolina Stroke Rehabilitation Research Center (SCSRRC) and NIH Brain Initiative, the investigators now plan to investigate the effects treadmill-assisted gait training have on cortical control of bipedal movement in chronic stroke patients. Although previous investigators have assessed neural activity during simulated walking using motor imagery, motor imagery does not simulate the typical sensory feedback associated with active movement. To move the field forward, it is necessary to measure active bipedal movement in the MR-environment in healthy volunteers, before moving forward in stroke patients.

Primary Outcome

Determine if the bipedal fMRI protocol (active movement) is able to engage neural networks more robustly (e.g. greater effect size) than bipedal imagery alone in healthy volunteers.

Interventions

• DEVICE GAITRite assessment