Ballet for Parkinson’s disease, a new concept: Remote delivery via the English National Ballet’s Dance for Parkinson’s programme
Objective: To explore the characteristics and subjective outcomes for People with Parkinson’s (PwP) attending online Dance for Parkinson’s sessions professionally delivered by the English National…Exploring the morning akinesia in Parkinson’s disease with the wearable sensor STAT-ON
Objective: To detect the morning akinesia (MA) through the analysis of the gait fluidity (GF) measured by the sensor STAT-ON. Background: The STAT-ON sensor's detection…Clinical and electrophysiological validation of a volume of tissue activation model for directional deep brain stimulation leads – the ReCaps study
Objective: Assessing the predictive value of a volume of tissue activation (VTA) model for directional deep brain stimulation (DBS) leads on the response threshold of…Heterozygous mutations in the Parkin gene – two different presentations of Parkinson’s disease
Objective: The main objective of this work is to present two Parkinson's disease (PD) patients with heterozygous mutations in the Parkin gene (PARK – parkin)…Dopa-responsive Combined Dystonia Due to ATP1A3 Gene Variant
Objective: To describe a remarkable case of a patient with an atypical ATP1A3 phenotype with levodopa responsiveness, expanding our understanding of this gene mutation. Background: The ATP1A3-spectrum disorders…Prevalence of GBA parkinsonism in Slovak Parkinson’s disease population
Objective: Our study aimed to determine the prevalence of GBA parkinsonism in the Slovak population with Parkinson's disease (PD). Background: In recent years, there has…Chronotype and Cognition in Veterans with Parkinson’s Disease
Objective: To determine if chronotype impacts the expression of dementia and/or depression in Veterans with Parkinson's disease (PD). Background: Chronotype reflects the periodicity of biological…WATCH-PD: Detecting Early-Stage PD using Feature Engineering and Machine Learning in Remote Sensor-Based Assessments
Objective: Use feature engineering and machine learning to evaluate digital biomarkers of early-stage Parkinson’s disease (PD) in the WATCH-PD study. Background: WATCH-PD – a one-year…Detecting Parkinson’s Disease from body limb acceleration using machine learning and a frequency-domain analysis
Objective: To test whether the acceleration frequency of different body parts during gait can reveal characteristic patterns of Parkinson’s Disease (PD). The technical aim was…Amygdala-hippocampus damage critically contributes to visual dysfunction in Parkinson disease
Objective: To delineate the structural and functional alterations of the brain associated with visual dysfunction and retinal injury in Parkinson disease (PD) Background: Several electrophysiological,…
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