Predicting Disease Severity in Friedreich’s Ataxia through Wearable Monitoring and Machine Learning.
Objective: Develop and validate a wearable-based solution for tracking motor function in Friedreich ataxia (FRDA). Background: FRDA is an autosomal recessive neurodegenerative disorder causing progressive…Expanding the phenotypic spectrum of movement disorders in 22q11.2 deletion syndrome
Objective: To formally characterize the evolving spectrum of movement disorders associated with chromosome 22q11.2 deletion syndrome Background: Emerging evidence suggests that a wide range of…Autosomal Recessive GTPCH Deficiency: Redefining the Phenotypic Spectrum and Outcome
Objective: To describe the clinical phenotype of autosomal recessive GTP cyclohydrolase deficiency (ARGTPCHD), its genetic and metabolic correlates, and their possible predictive value through a…Influence of the Level of Education on the Change in Cognitive Function in Parkinson´s Disease. A 5-year Follow-up Study.
Objective: The aim of the present study was to know the influence of the level of education (LoE) on the change in cognitive function (CF)…Designing a Device for Real-time Monitoring and Digital Integration of Non-motor Symptoms
Objective: This study aims to prototype a measurement device for the continuous assessment of non-motor symptoms like pain in Parkinson's disease (PD) and their seamless…Integrated Clinical Research Intern Program: Impact Upon Recruitment of Participants for Therapeutic Studies Aimed at Parkinson’s Disease (PD) Prevention.
Objective: To discuss the development and benefit of an online internship program created to expand recruitment and retention within a PD cohort and introduce students…Formulations and Assessments of Intra-nasal noses to brain curcumin delivery using reversible nanoparticles for Parkinsonism treatment: A Preclinical Approach
Objective: Parkinson's disease (PD) is a prevalent neurological illness that is typified by bradykinesia, postural instability, tremor, and stiffness. An increasing body of research suggests…Wearable Device for Real-Time Prevention of Freezing-of-Gait in Parkinson’s Disease
Objective: In our previous work, we developed machine learning models to predict and detect freezing-of-gait (FOG) [1]. In this study, we aimed to use those…Characterization of Muscle activity before and during Freezing of Gait Episodes
Objective: Objective: The study aims to characterize surface electromyography (EMG) activity in the distal and proximal leg muscles of 17 participants with Parkinson’s disease (PD)…Certification for advanced practice providers working in movement disorders expands access to quality expert and specialized care.
Objective: Elevate awareness of impact of a professional certification for APPs in PD & movement disorders (PMD), which increases access specialized care, improving outcomes. Demonstrate certification…
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