Gait impairments in Parkinson's disease.
By A. Mirelman, Paolo Bonato, Richard Camicioli, T. Ellis, Nir Giladi, J. Hamilton, C. Hass, J. Hausdorff, E. Pelosin, Q. Almeida. Lancet Neurology, 2019
654 citations recorded by the source corpus.
Gait impairments are among the most common and disabling symptoms of Parkinson's disease. Nonetheless, gait is not routinely assessed quantitatively but is described in general terms that are not sensitive to changes ensuing with disease progression. Quantifying multiple gait features (eg, speed, variability, and asymmetry) under natural and more challenging conditions (eg, dual-tasking, turning, and daily living) enhanced sensitivity of gait quantification. Studies of neural connectivity and structural network topology have provided information on the mechanisms of gait impairment. Advances in the understanding of the multifactorial origins of gait changes in patients with Parkinson's disease promoted the development of new intervention strategies, such as neurostimulation and virtual reality, aimed at alleviating gait impairments and enhancing functional mobility. For clinical applicability, it is important to establish clear links between specific gait impairments, their underlying mechanisms, and disease progression to foster the acceptance and usability of quantitative gait measures as outcomes in future disease-modifying clinical trials.
Subfields: Neurology, Physical Therapy, Sports Therapy and Rehabilitation
View Paper: https://www.semanticscholar.org/paper/1772f76e4cb5fd595e6795a9ce6a754519ccd5ad
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Citations in the corpus
- Accurate localization of cortical and subcortical sources of M/EEG signals by a convolutional neural network with a realistic head conductivity model: Validation with M/EEG simulation, evoked potentials, and invasive recordings (2024, background): “Their dysfunction is implicated in various diseases, such as Parkinson's disease (Mirelman et al., 2019).”