Key result
Three-dimensional gait analysis reveals that ankle joint functionality is most affected during walking in patients with multiple sclerosis, with altered gait patterns potentially increasing stability.
Why the study?
How does laboratory gait analysis help understand gait deterioration in people with multiple sclerosis?
How does laboratory gait analysis help understand gait deterioration in people with multiple sclerosis?
Laboratory gait analysis reveals that ankle joint functionality is primarily affected during walking in patients with multiple sclerosis, providing insights into disease progression and compensatory mechanisms.
Ankle-focused rehab may merit exploration in MS; leaves open need for prospective trials to validate clinical impact.
Laboratory gait analysis or three-dimensional gait analysis (3DGA), which uses motion capture, force plates and electromyography (EMG), has allowed a better understanding of the underlying mechanisms of gait deterioration in patients with multiple sclerosis (PwMS). This review will summarize the current knowledge on multiple sclerosis (MS)-related changes in kinematics (angles), kinetics (forces) and electromyographic (muscle activation) patterns and how these measures can be used as markers of disease progression. We will also discuss the potential causes of slower walking in PwMS and the implications for 3DGA. Finally, we will describe new technologies and methods that will increase precision and clinical utilization of 3DGA in PwMS. Overall, 3DGA studies have shown that functionality of the ankle joint is the most affected during walking and that compensatory actions to maintain a functional speed may be insufficient in PwMS. However, altered gait patterns may be a strategy to increase stability as balance is also affected in PwMS.
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Lizama et al. (2016) conducted a review in Multiple sclerosis. Three-dimensional gait analysis (3DGA) was evaluated. Three-dimensional gait analysis reveals that ankle joint functionality is most affected during walking in patients with multiple sclerosis, with altered gait patterns potentially increasing stability.
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