Review of intraoperative computed tomography accuracy for deep brain stimulation lead verification
Objective: Systematic review of literature to verify accuracy of iCT for the anatomical target in DBS surgery. Background: Accurate lead placement is crucial to maximize…Time from Referral to DBS: A Single-Centre Canadian Study
Objective: To study the time to deep brain surgery (DBS) for movement disorders and breaking down the time to each step in the DBS process,…Automatic Estimation of MDS-UPDRS Gait Scores from Videos with Multi-Rater Disagreements
Objective: Early diagnosis of Parkinson's disease (PD) and tracking its signs are crucial for developing treatment plans. The MDS-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) defines…The feasibility and efficacy of virtual visits compared to in-person visits for follow up in Parkinson´s disease: methodology for an international, multicenter trial (NCT04695353).
Objective: To investigate the feasibility and efficacy of virtual visits for Parkinson Disease (PD) compared to in-person visits. Background: Considering limited access to specialists for…Visualization Tool for DBS Programming with a Multiple Source, Constant Current System Reduces Initial Programming Time
Objective: We describe utilization of newly available visualization software for use as a Deep Brain Stimulation (DBS) planning tool during initial programming of patients with…Utilizing digital biomarkers to explore risk factors for falls in patients with Lewy Body Dementia
Objective: To analyze risk factors for falls in individuals with Lewy Body Dementia (LBD) enrolled in PRESENCE. Background: PRESENCE was a phase 2 clinical trial…Comparison of video-instructed and operator-instructed markerless motion analysis with clinical rating-scales in patients with Parkinson’s Disease
Objective: This study aims to compare video-instructed and operator-instructed RGB-Depth (RGBD) camera assessments with clinical ratings scales for gait and balance in patients with Parkinson’s Disease…Unsupervised human activity recognition from accelerometer data
Objective: To recognize human activity from accelerometer signals using unsupervised learning Background: Monitoring of patients using wearables during their activities of daily living (ADL) could…A Review of Electronic Devices to Track Medication Adherence in Parkinson’s Disease
Objective: The current study set out to compare existing electronic devices (EDs) for tracking medication adherence (MA) and to provide a framework for device selection…Anodic prepulses influence the therapeutic window in ET patients
Objective: To investigate the use of anodic prepulses in essential tremor (ET) patients treated with deep brain stimulation (DBS). Background: Since the inception of DBS,…
Abstracts from the International Congress of Parkinson’s and Movement Disorders.