Analysis of statistical data on patients with Parkinson’s disease.
Objective: To determine the spread of the disease by sex and age groups among the population of Uzbekistan. Background: Parkinson's disease is quite relevant throughout…Boosting the LTP-like Plasticity Effect of Intermittent Theta-burst Stimulation with Gamma Transcranial Alternating Current Stimulation improves Bradykinesia in Parkinson’s Disease
Objective: We investigated whether transcranial alternating current stimulation (tACS) applied at the gamma frequency (γ) frequency on the primary motor cortex (M1) improves long-term potentiation…Outcome of Subthalamic nucleus deep brain stimulation: comparison between clinical-based and LFP-based programming
Objective: To determine whether outcomes from STN DBS for PD using clinical-based selected active contacts can be improved by revising stimulation contact based on intraoperative…AI-Powered Seamless Webcam Assessment for Parkinson’s Disease
Objective: We aimed to demonstrate that an AI-powered virtual exam using a standard webcam can assess PD manifestations, naturally mirroring a neurologist’s evaluation. Background: Parkinson’s…Myofascial pain syndromes in parkinsonism
Objective: To study of pain syndromes in parkinsonism Background: Myofascial Pain Syndrome (MPS) is a common but underdiagnosed pain disorder in Parkinson’s disease (PD), marked…Quantifying Bradykinesia in Real-world Practice: A Clinician-friendly Video Analysis Tool for Parkinson’s Disease
Objective: To develop and validate a video-based automated analysis tool for the objective and quantitive assessment of bradykinesia in Parkinson’s disease (PD). Background: Currently, evaluating…Wearable-based Virtual Motor Exam enables remote tracking of motor symptom progression in early-stage Parkinson’s disease
Objective: To evaluate the ability of smartwatch-based measures of tremor, bradykinesia and gait to capture Parkinson’s disease (PD) progression. Background: Wearable sensors enable remote, objective,…Characterising early morning akinesia and off (EMO) using Parkinson’s kinetigraph: analysis from a two centre national database in Parkinson’s disease .
Objective: Could wearable sensors such as Parkinson’s kinetograph (PKG) may provide valuable overnight data to detect EMO to augment care in clinic. Background: Early morning…A Machine Learning Approach for Early Identification of Prodromal Parkinson’s Disease
Objective: The aim of this project is to analyze available data of voice, Tappy keystroke, spiral drawings, and gait sample data involving PD patients and…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.…
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