Vim DBS for Post-Stroke Tremor: A Case Report
Objective: We report a unique case of post-stroke tremor (PST) with a robust response to deep brain stimulation (DBS) of the ventral intermediate nucleus of…Evoked Resonant Neural Activity Automates Field Shaping of Subthalamic Nucleus-Deep Brain Stimulation in Parkinson’s Disease
Objective: Compare motor efficacy and tolerability of 3 methods to guide electrical field shaping of subthalamic nucleus (STN) deep brain stimulation (DBS) in Parkinsons disease…Deep Brain Stimulation Complications in Parkinson’s Disease Patients: A 15-year Single-Centre Review
Objective: This study aims to identify the complications of subthalamic nucleus (STN) deep brain stimulation (DBS) in patients with advanced Parkinson’s disease (PD) to direct…Focused ultrasound subthalamotomy in early Parkinson´s disease: three-year prospective follow-up
Objective: To assess the safety and efficacy of focused ultrasound subthalamotomy (FUS-STN) for Parkinson´s disease (PD) in patients who received the procedure within the first…Tension Pneumocephalus as an acute complication of STN-DBS surgery
Objective: To describe a rare complication of Deep Brain Stimulation (DBS). Background: DBS is a surgical treatment for Parkinson´s Disease (PD). Among the possible surgical…Performance of a Smartphone-based Oculomotor Test as a Diagnostic Tool for Parkinson’s Disease
Objective: First, to ascertain whether a smartphone-based application measuring saccadic parameters can differentiate between patients with Parkinson’s disease (PD) and healthy controls (HC). Second, to…Developing Composite Digital Measures for Tracking Parkinson’s Disease (PD) Progression using a Comprehensive Machine Learning-based Framework
Objective: To develop composite digital measures that could be used to track disease progression in early PD patients, and to determine whether they can outperform…The novel Gait Cycle Detection Network (GCDN) for Video based gait Analysis based on single 2D RGB video
Objective: The goal of this work is to train a network that detects a gait cycle precisely to improve the accuracy of a video-based gait…Determining the optimal filtering method for the removal of gait-related movement artefacts from EEG acquired from People with Parkinson’s Disease
Objective: Development of an adaptive filtering algorithm to remove movement artefacts from EEG data acquired during a dual sensory-motor gait task when performed by People…Distinguishing Parkinson’s disease from atypical Parkinsonian syndrome using multistage deep learning based on dopamine transporter imaging
Objective: We made the diagnostic model using a deep learning algorithm based on dopamine transporterWe made the diagnostic model using a deep learning algorithm based…
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