Predictors of Falls with Injuries in People with Parkinson’s Disease
Objective: To identify predictors of falls with injuries in people with Parkinson’s disease (PD). Background: Falls are common in people with PD and can lead…Cortical Activation during Dynamic Sway of young Fragile X Premutation Carriers
Objective: To investigate changes in cortical activity of fragile X premutation carriers during self-paced sway to the limit of stability. Background: The fragile X premutation…The Relationship Between Modified Four Square Step Test (mFSST) and Outcome Measures Related to Fall Risk and Quality of Life in Individuals with Parkinson’s Disease
Objective: Determine the relationship between the modified Four Square Step Test and outcome measures related to fall risk and quality of life in individuals with…Moderate-intensity balance training improve postural control in people with Parkinson’s disease
Objective: We sought to investigate if regular balance training of moderate intensity (MIBT) has an effect on changes in postural control in people with Parkinson’s…Deep brain stimulation in the treatment of camptocormia in Parkinson’s disease
Objective: To investigate the effect of deep brain stimulation (DBS) in the treatment of camptocormia in patients with Parkinson's disease (PD). Background: Camptocormia is a…The Impact of the Sensory Trick on Gating Multimodal Afferents in Cervical Dystonia
Objective: To investigate how ST modulate the postural sway in patients with idiopathic cervical dystonia (iCD) when proprioceptive and vestibular stimulation are provided simultaneously. Background: We…Association Between Ventricle/Brain Volumes and Mobility Metrics in Parkinson’s Disease
Objective: To investigate the relationship between brain ventricular and gray matter volumes and objective balance and gait metrics in people with Parkinson’s disease (PD). Background:…Improving fall prediction in Parkinson’s disease: A machine-learning-based approach
Objective: To explore the prediction of falling in PD using a machine-learning-based approach. Background: The strongest predictor of falling in Parkinson’s disease (PD) is the…Association between non-motor symptoms and severity of axial symptoms in patients with Parkinson’s disease
Objective: Analyze the association between non-motor symptoms and severity of axial symptoms in patients with Parkinson’s disease. Background: Parkinson's disease (PD) is characterized by the…The role of the disorders in interaction between visual and oculomotor systems and their MRI correlation in patients with camtocormia in Parkinson’s disease
Objective: To investigate the relationship between the visual function state, oculomotor parameters and MRI morphometry data in PD patients with and without camtocormia. Background: Interacting…
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