Correlation between cognitive/emotional factors and postural control in patients with Parkinson’s disease
Objective: This study aims to find associations between executive function, anxiety, depression, and reactive and anticipatory postural control domains. Background: Cognition and emotional state are…Genetic correlation and potential causal relationship between inflammatory bowel disease and Parkinson’s disease
Objective: The present study investigates shared genetic etiology between inflammatory bowel disease (IBD) and Parkinson’s disease (PD) using correlation and causality-based approaches. Background: The role…Subgroup analyses by Unified Parkinson’s Disease Rating Scale Part III (UPDRS-III) of patients treated with levodopa inhalation powder 84mg or placebo to treat OFF symptoms in patients with Parkinson’s disease (PD)
Objective: An analysis of the proportion of patients who turned ON after levodopa inhalation powder (CVT-301) 84mg treatment vs placebo, compared across subgroups of patients…Clinical presentation of SNCA Duplication Parkinsonism in a Family Kindred
Objective: To report phenotype variability in a family with SNCA duplication associated Parkinsonism. Background: Pathogenic variants in SNCA, the gene coding for α-synuclein, cause familial…Preliminary estimates of the effects of deep brain stimulation on gait kinematics in Parkinson disease and essential tremor.
Objective: To determine the change in gait parameters following deep brain stimulation (DBS) in Parkinson disease (PD) and essential tremor (ET). Background: DBS is an…Deep Learning Approaches for Recognition of Parkinson’s Disease Patients through Handwriting, Audio and Video Analysis
Objective: The aim of this study was to build PD diagnostic models based on deep learning approaches using technologies including handwriting identification, automatic speech recognition…Plasma p-tau181, neurofilament light chain and association with cognition in Parkinson’s disease
Objective: To investigate the association of plasma p-tau181 and NfL with cognitive performance and cognitive progression in PD patients. Background: Cognitive impairment (CI) is a…Machine learning algorithms for classification and analysis of pen-on-paper Archimedes spirals
Objective: To classify tremor syndromes from freely hand drawn pen-on-paper Archimedes spirals using classical machine learning techniques. Background: Spiral drawings (Archimedean) are commonly used in…Classical Machine Learning approaches to automate tremor detection from electrophysiological data
Objective: To detect tremor syndromes from electrophysiological signatures using classical machine learning techniques. Background: Electromyographic recordings combined with accelerometry data are widely used to measure…Developing New Insights Into Clinical and Genetic Features of PD – The Global Parkinson’s Genetics Program (GP2) Clinical Cohorts Working Group
Objective: We aim to recruit Parkinson’s cohorts across the world for the Global Parkinson’s Genetics Program (GP2, http://gp2.org/), harmonize clinical data for joint analysis and…
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