A Successful Case of Bilateral GPi Rescue DBS in Dystonic Tremor Following Tremor Re-emergence After Previous Bilateral PSA DBS Five Years Prior
Objective: We present a patient with successful rescue bilateral GPi-DBS implantation with sustained clinical benefit to 24 months for management of reemergent severe dystonic tremor…Parkinsonism after Internal Globus Pallidus Deep Brain Stimulation in Dystonia
Objective: To evaluate the frequency and predictors of parkinsonism after GPi-DBS in dystonia; to describe the clinical characteristics and stimulation changes performed to improve parkinsonism.…Treatment of status dystonicus in children using pallidal deep brain stimulation
Objective: To study the implication of pallidal DBS in treatment of pediatric status dystonicus (SD). Background: SD or dystonic storm is an emergency condition caused…Real-world Programming and Sensing from Adaptive Deep Brain Stimulation for Parkinson’s Disease in Japan
Objective: To characterize programming configurations and local field potentials (LFP) control parameters in a multicenter, real-world cohort of patients receiving deep brain stimulation (DBS) for…Long-term follow up of unilateral deep brain stimulation for Parkinson’s disease
Objective: To assess long-term effectiveness of unilateral Deep Brain Stimulation (DBS) in Parkinson’s disease (PD) patients with up to 14 months of follow-up Background: DBS…Viability and Accuracy of Visual Estimation in Determining Directional Deep Brain Stimulation Lead Orientation
Objective: To assess the viability and accuracy of visual estimation in determining directional deep brain stimulation (DBS) lead orientation. Background: Directional DBS leads show large…12-month long-term outcomes of adaptive DBS using LFP sensing technology
Objective: The aim of this study was to clarify the 12-month long-term outcome of Parkinson’s disease (PD) patients receiving adaptive DBS therapy. Background: During the…Hierarchical Machine Learning Classification of Parkinsonian Disorders using Saccades
Objective: To evaluate the discriminative power of a novel saccade waveform reconstruction approach compared to conventional saccadic metrics in differentiating Parkinson's disease (PD), progressive supranuclear…Automatic detection of Freezing of gait in Parkinson’s disease with IMU: validation of a deep learning algorithm in the home.
Objective: To validate a deep learning (DL) algorithm to detect Freezing of gait (FOG) at home. Background: FOG is an episodic gait symptom of Parkinson’s…Prediction of falls in PD over 5 years using kinematic data and machine learning
Objective: This study aims to evaluate the potential of a wearable sensor-based walking and balance assessment to predict the risk of falling in individuals with…
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