Walking Impairment

The aim of this study is to compare the effects of body weight-supported gait training that includes virtual reality-assisted dual-task applications with body weight-supported forward and backward gait training on functional capacity, gait parameters (such as step length, gait speed, and balance), cognitive functions and psychological status in patients with stroke. The findings of this study are expected to contribute to the development of more effective rehabilitation strategies for improving mobility in patients with stroke

Background and Rationale: Walking impairments impacts the 2-3/1000 children who have cerebral palsy1,2, and others unable to walk due to other central nervous system disorders such as a traumatic brain injury. The impacts of this and related impairment impact all aspects of life. The lifelong costs of these is staggering in terms of dollars (over $1 million/child) and health adjusted life years (\~half compared to typically developing populations despite only slightly shorter lifespans). Yet there are currently no effective interventions to treat the fundamental balance impairment that underlie these problems4,5. Early use of robotic gait trainers have shown many benefits6,7, however access to these trainers is limited due to cost, availability, and ease of use within the home. Currently, there are a few options for an overground robotic gait trainer supported by the stability of a walker. The Trexo, is an option designed for use at home or in a community settings, but barriers to access mean that access to this therapy is out of reach for many people who may see benefits. Research Questions and Objectives: The aim of this study is to (a) evaluate the feasibility of a clinical robotic gait training program and (b) evaluate the effectiveness of these types of programs in achieving patient, family, and therapist goals. The study will examine adherence to a structured training program to determine if training with a robotic gait trainer in a hospital setting is feasible for the entire length of the designed training program. Goals will be set, a re-evaluation of these goals will be completed following the training program to determine whether or not the clinical program of robotic gait training was successful in helping patients reach the goals set out at the beginning of the program.

Current evidence and clinical applications of robotic gait training devices for motor function recovery post-stroke are increasingly available. Although existing research demonstrates that robotic gait training can improve patients' gait and balance, there remains a lack of in-depth investigation into its specific mechanisms of action concerning central nervous system (CNS) reorganization - notably, changes in activity within the motor cortex and associated neural networks. The intrinsic changes within the CNS have received insufficient attention, limiting a comprehensive and profound understanding of the rehabilitation outcomes. Therefore, this study aims to elucidate the potential mechanisms underlying robotic gait training-induced neuroplasticity by integrating functional near-infrared spectroscopy (fNIRS) technology with multi-dimensional lower limb motor function assessment tools (such as FAC, BBS, AMEDA, 10MWT, 6MWT, TUGT). It will systematically investigate the effects of robotic gait training on both the central nervous system and lower limb motor function in stroke patients. Furthermore, the study will compare the differences in functional recovery efficacy between robotic gait training and conventional rehabilitation therapies.

Investigators primary aim is to carry out a two-site, randomized, double-blind, sham-controlled, phase II trial to systematically examine the potential for aerobic exercise (AEx) to enhance the anti-depressant benefits of rTMS in individuals with post-stroke depression (PSD). Investigators propose to determine the efficacy of combining two known anti-depressant treatments shown to be effective in non-stroke depression, aerobic exercise (AEx) and repetitive transcranial magnetic stimulation (rTMS), on post-stroke depressive symptoms. This project is based on the idea that depression negatively affects the potential for the brain to adapt in response to treatment such that rehabilitation may not produce the same changes that it does in non-depressed individuals. Investigators believe that effective treatment for PSD will result in a virtuous cycle whereby reducing depression enhances response to rehabilitation, thereby facilitating functional gains. That is, effectively treating depression will enable individuals to better recover from stroke.