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The Effects of Stroke and Stroke Gait Rehabilitation on Behavioral and Neurophysiological Outcomes:: Challenges and Opportunities for Future Research

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Date 2023 Sep 13
PMID 37701480
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Abstract

Stroke continues to be a leading cause of adult disability, contributing to immense healthcare costs. Even after discharge from rehabilitation, post-stroke individuals continue to have persistent gait impairments, which in turn adversely affect functional mobility and quality of life. Multiple factors, including biomechanics, energy cost, psychosocial variables, as well as the physiological function of corticospinal neural pathways influence stroke gait function and training-induced gait improvements. As a step toward addressing this challenge, the objective of the current perspective paper is to outline knowledge gaps pertinent to the measurement and retraining of stroke gait dysfunction. The paper also has recommendations for future research directions to address important knowledge gaps, especially related to the measurement and rehabilitation-induced modulation of biomechanical and neural processes underlying stroke gait dysfunction. We posit that there is a need for leveraging emerging technologies to develop innovative, comprehensive, methods to measure gait patterns quantitatively, to provide clinicians with objective measure of gait quality that can supplement conventional clinical outcomes of walking function. Additionally, we posit that there is a need for more research on how the stroke lesion affects multiple parts of the nervous system, and to understand the neuroplasticity correlates of gait training and gait recovery. Multi-modal clinical research studies that can combine clinical, biomechanical, neural, and computational modeling data provide promise for gaining new information about stroke gait dysfunction as well as the multitude of factors affecting recovery and treatment response in people with post-stroke hemiparesis.

References
1.
Dobkin B . Confounders in rehabilitation trials of task-oriented training: lessons from the designs of the EXCITE and SCILT multicenter trials. Neurorehabil Neural Repair. 2006; 21(1):3-13. PMC: 4106697. DOI: 10.1177/1545968306297329. View

2.
Balasubramanian C, Bowden M, Neptune R, Kautz S . Relationship between step length asymmetry and walking performance in subjects with chronic hemiparesis. Arch Phys Med Rehabil. 2007; 88(1):43-9. DOI: 10.1016/j.apmr.2006.10.004. View

3.
Krakauer J, Carmichael S, Corbett D, Wittenberg G . Getting neurorehabilitation right: what can be learned from animal models?. Neurorehabil Neural Repair. 2012; 26(8):923-31. PMC: 4554531. DOI: 10.1177/1545968312440745. View

4.
Awad L, Reisman D, Wright T, Roos M, Binder-Macleod S . Maximum walking speed is a key determinant of long distance walking function after stroke. Top Stroke Rehabil. 2014; 21(6):502-9. PMC: 4382083. DOI: 10.1310/tsr2106-502. View

5.
Awad L, Binder-Macleod S, Pohlig R, Reisman D . Paretic Propulsion and Trailing Limb Angle Are Key Determinants of Long-Distance Walking Function After Stroke. Neurorehabil Neural Repair. 2014; 29(6):499-508. PMC: 4426250. DOI: 10.1177/1545968314554625. View