GBA Mutations Alter Subthalamic and Nigral Neural Activity in Parkinson’s Disease
Objective: To investigate the neurophysiological basis of Parkinson’s disease (PD) in patients with glucocerebrosidase (GBA) mutations. Background: Alterations in subthalamic neural activity are associated with…Biallelic Variants in ACER3 Encoding Alkaline Ceramidase 3 Cause Infantile- and Early-Childhood-Onset Neurodegeneration with Progressive Leukodystrophy
Objective: To delineate the clinical phenotype and molecular spectrum of alkaline ceramidase 3 -related disease (ACER3-RD) by characterizing 60 patients from 55 independent families. Background:…Bridging the Digital Gap: A Global Survey of Technology Adoption by the MDS Technology Study Group
Objective: To enhance our understanding of the clinical use of digital diagnostic and monitoring technologies among movement disorders clinicians worldwide. Background: The field of movement…Development of a Rating Instrument to Identify Catatonia by Virtual Viewing of Motor Assessments
Objective: To develop a rating instrument to identify catatonia by virtual viewing of motor assessments Background: Catatonia is a motor comorbidity complicating mental and physical…Exploring Deep Learning-Based Facial Analysis for Detecting Parkinsonism
Objective: To explore the feasibility of using deep learning to differentiate individuals with parkinsonism from those without parkinsonism and without cognitive impairment through facial image…Feature Extraction and Classification Using Smartphone-Based Alternating Tapping Tasks for Distinguishing Parkinson’s Disease from Healthy Individuals
Objective: To determine whether a smartphone-based alternating tapping task can reliably differentiate Parkinson’s disease (PD) from healthy controls and to identify the tapping metrics that…Parkinson’s disease motor phenotypes delineated by pallidal and subthalamic neurophysiology and machine learning
Objective: The objective of this study was to develop a machine learning (ML) algorithm capable of predicting motor phenotypes in Parkinson's disease (PD) using intraoperative…Predicting Parkinson’s Disease Motor Progression Using Clinical and Digital Data
Objective: To define motor progression subphenotypes in Parkinson’s disease (PD) and evaluates the predictive power of clinical and smartphone data in distinguishing slow from fast…The use of interleaving stimulation as an advanced DBS programming strategy in movement disorders
Objective: To review a single center’s experience with the use of interleaving stimulation (ILS) in deep brain stimulation (DBS) for movement disorders. Background: DBS is…Leveraging Duty-cycle Based Programming for Deep Brain Stimulation
Objective: Provide a review of duty-cycle based programming, also referred to as “cycling” (CycPm), and its potential role in DBS for movement disorders. Background: Continuous…
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