Can digital Mobility Outcomes differentiate cognitive impairment in Parkinson’s Disease?
Objective: To determine if digital mobility outcomes (DMOs) differentiate between those with and without cognitive impairment in Parkinson’s disease (PD). Background: Cognitive impairment is common…Occupational Pesticide Exposure, Personal Protective Equipment, and Parkinson’s Disease: An Observational Study from the PPMI Cohort
Objective: To evaluate the association between occupational exposure to specific pesticides and Parkinson’s disease in participants from the PPMI Online cohort, and to determine whether…Disease-specific Polygenic Risk Scores and Development of Incident Parkinson’s Disease in a Large Cohort of Healthy Older Adults.
Objective: To evaluate if updated polygenic risk scores (PRS) for Parkinson’s disease (PD) are associated with the development of incident PD amongst a cohort of…Identification of Novel FA2H Mutations in Patients with Hereditary Spastic Paraplegia Type 35 (SPG35)
Objective: We reported three cases of SPG35 caused by compound heterozygous mutations in the FA2H gene, with ataxia as the initial clinical manifestation. Among the…Reasons and Factors Influencing Parkinson’s Patients’ Decision to Decline Deep Brain Stimulation
Objective: To investigate reasons and factors influencing Parkinson’s patients’ decision to decline deep brain stimulation (DBS). Background: While much research has focused on patients with…An unusual case of cerebellar ischemic stroke initially presenting as isolated hemifacial spasm without other neurological symptoms and signs
Objective: Our aim is to report a case of unusual phenotype of cerebellar ischemic stroke which shows isolated unilateral hemifacial spasm as initial neurological symptoms…Phenomenological Gaps in Rating Scales for Blepharospasm Motor Severity
Objective: To evaluate domain coverage of rating scales used to quantify motor severity of blepharospasm (BSP). Background: BSP rating scales have been evaluated for their…AI guided presurgical risk stratification for deep brain stimulation surgery
Objective: To develop and validate an artificial intelligence (AI) machine learning (ML) model for preoperative cognitive risk stratification for deep brain stimulation surgery (DBS). Background:…Uncovering novel genomic alterations in dystonia using gene burden analysis
Objective: To identify genomic alterations that are over-represented in the Indian dystonia cohort using gene burden analysis of rare variants. Background: Dystonia is a complex…Identifying Parkinson’s Disease Subtypes Using Fluid Biomarkers Clustering in the PPMI Cohort
Objective: Identify Parkinson’s Disease (PD) prognostic subtypes using baseline fluid biomarkers. Background: Machine learning has enabled approaches to clustering PD subjects into subgroups based on…
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