A Kinematic and fMRI Study of the Neural Correlates of Bradykinesia in Parkinson’s Disease
Objective: This study aimed at investigating the neural and kinematic correlates of bradykinesia during hand-tapping in people with Parkinson’s disease (pwPD) relative to healthy controls.…MRI Predictive Marker of the Vestibular Galvanic Stimulation Effectiveness in the Postural Instability Treatment in Parkinson’s Disease.
Objective: To assess the galvanic vestibular stimulation (GVS) effect on axial symptoms and cervical vestibular evoked myogenic potential (cVEMP) depending on the Magnetic Resonance Parkinsonism…Longitudinal Structural and Functional Correlates of Progression in Isolated Rapid Eye Movement Sleep Behaviour Disorder
Objective: To identify progressive structural and functional imaging alterations in a longitudinal cohort of patients with isolated rapid eye movement sleep behavior disorder (iRBD). Background:…Mapping Cholinergic Signaling in Parkinson Disease Using [18F]VAT
Objective: To determine how cholinergic signaling changes within Parkinson Disease (PD) and how these differences relate to the progression of cognitive and behavioral symptoms. Background:…Perceptions Regarding Asleep and Awake DBS Among Neurologists and Neurosurgeons
Objective: To compare trends and perceptions regarding Asleep and Awake deep brain stimulation (DBS) between neurologists (NLGs) and neurosurgeons (NSXs) in the USA and abroad.…Real-world Experiences of Image-guided Programming in Subthalamic Nucleus Deep Brain Stimulation in Parkinson’s disease
Objective: We evaluated the effectiveness of image-guided programming (IGP) in patients with Parkinson’s disease (PD) who underwent bilateral subthalamic nucleus (STN) – deep brain stimulation…Functional connectivity enhances prediction of STN DBS motor outcomes
Objective: To assess the predictive value of functional and volumetric MRI data in comparison to clinical data alone for STN DBS outcomes. Background: While STN…Connectivity-Based Analysis of the Impact of GPi Deep Brain Stimulation on the Freezing of Gait in Parkinson’s Disease
Objective: We aim to investigate the association between structural connectivity and its influence on the freezing of gait (FOG) after globus pallidus internus (GPi) deep…Model-Based Gait Outcomes to Track Parkinson’s Disease Progression ?
Objective: To determine whether outcomes extracted from a gait model can serve as markers of symptoms and neurodegeneration progression in Parkinson’s disease (PD). Background: Longitudinal…Balancing Act: Smartphone Data and Machine Learning in Movement Disorder Classification
Objective: Determine if machine learning models can classify healthy individuals and people with movement disorders using smartphone data collected during a simple balance task. Background:…
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