Objective: To investigate the potential of cumulative high-frequency repetitive transcranial magnetic stimulation (HF-rTMS) on freezing of gait in atypical Parkinsonism.
Design: Randomized, single-blinded, crossover study with a blinded observer.
Participants: Eight patients with atypical Parkinsonism.
Methods: All participants received HF-rTMS over the lower leg primary motor cortex (M1-LL) for 5 consecutive days. Alternative sham stimulation was also administered with a 2-week wash-out period. Freezing of Gait Questionnaire (FOG-Q), turn steps in the modified Standing Start 180° Turn Test, the Timed Up and Go (TUG) task, and the Unified Parkinson's Disease Rating Scale part III (UPDRS-III) were performed before, after, and one week after rTMS.
Results: All participants completed this study without any significant adverse effects. FOG-Q and turn steps revealed significant improvements over time in the rTMS compared with the sham stimulation (χ2=6.067, p=0.048 and χ2=9.083, p=0.011). In addition, the TUG task and UPDRS-III showed significant improvements over time in the rTMS compared with the sham stimulation (χ2=7.200, p=0.02 and χ2=7.000, p=0.030).
Conclusion: Cumulative HF-rTMS over the M1-LL might be effective for improving freezing of gait in patients with atypical Parkinsonism. Further investigation with a large number of participants is needed to clarify the effects of HF- rTMS on freezing of gait in atypical Parkinsonism.
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http://dx.doi.org/10.2340/16501977-2140 | DOI Listing |
Sensors (Basel)
December 2024
School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Freezing of gait (FOG) is a walking disturbance that can lead to postural instability, falling, and decreased mobility in people with Parkinson's disease. This research used machine learning to predict and detect FOG episodes from plantar-pressure data and compared the performance of decision tree ensemble classifiers when trained on three different datasets. Dataset 1 ( = 11) was collected in a previous study.
View Article and Find Full Text PDFRehabil Psychol
January 2025
Department of Applied Clinical Research, UT Southwestern Medical Center.
Unlabelled: One common gait issue associated with advanced Parkinson's disease (PD) is freezing of gait (FoG). FoG impacts approximately half of people with PD and negatively impacts quality of life. Studies have suggested that anxiety may contribute to FoG.
View Article and Find Full Text PDFFront Aging Neurosci
December 2024
Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Background: The neural mechanisms underlying freezing of gait (FOG) in Parkinson's disease (PD) have not been completely comprehended. Sensory-motor integration dysfunction was proposed as one of the contributing factors. Here, we investigated short-latency afferent inhibition (SAI) and long-latency afferent inhibition (LAI), and analyzed their association with gait performance in FOG PD patients, to further validate the role of sensorimotor integration in the occurrence of FOG in PD.
View Article and Find Full Text PDFBrain Behav
January 2025
Department of Biomedical Engineering, Meybod University, Meybod, Iran.
Purpose: A debilitating and poorly understood symptom of Parkinson's disease (PD) is freezing of gait (FoG), which increases the risk of falling. Clinical evaluations of FoG, relying on patients' subjective reports and manual examinations by specialists, are unreliable, and most detection methods are influenced by subject-specific factors.
Method: To address this, we developed a novel algorithm for detecting FoG events based on movement signals.
J Clin Neurosci
December 2024
Faculty of Medicine, Al-Azhar University, Cairo, Egypt.
Background: Parkinson's disease (PD) is a debilitating neurodegenerative disorder characterized by movement impairments. Vagus nerve stimulation (VNS) is a non-invasive brain stimulation technique that has shown promise in treating various neurological conditions, including PD. This systematic review aimed to evaluate the existing evidence on the efficacy of nVNS in managing PD symptoms.
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