View clinical trials related to Parkinsonian Disorders.
Filter by:This study mainly aims to prospectively evaluate the changes of reactive astrogliosis in Parkinsonism patients of Chinese population by the novel 18F-labeled MAO-B PET tracer.
Sleep-wake disturbances are a major factor associated with reduced quality of life of individuals with Parkinson's disease (PD), a progressive neurological disorder affecting millions of people in the U.S and worldwide. The brain mechanisms underlying these sleep disorders, and the effects of therapeutic interventions such as deep brain stimulation on sleep-related neuronal activity and sleep behavior, are not well understood. Results from this study will provide a better understanding of the brain circuitry involved in disordered sleep in PD and inform the development of targeted therapeutic interventions to treat sleep disorders in people with neurodegenerative disease.
Background: People with Parkinson's disease (PD), including parkinsonisms, experience complex motor and non-motor symptoms, which become more hindering in the advanced stages of PD. Advance care planning (ACP) enables individuals to define goals and preferences for future medical treatment and serves to ensure that people receive treatment and care that is in line with their preferences during serious chronic illness. The effectiveness of ACP for PD is currently unknown. Methods: The investigators will evaluate the effectiveness of a multicenter, open-label randomized controlled trial, with a parallel group design in seven European countries (Austria, Estonia, Germany, Greece, Italy, Sweden and United Kingdom). The "PD_Pal intervention" comprises (1) several consultations with a trained nurse who will perform ACP conversations and support care coordination and (2) use of a patient-directed "Parkinson Support Plan-workbook". The intervention group will be compared to a care-as-usual group. Documented ACP-decisions in the medical records/patient's central file assessed at 6 months after baseline will be the primary endpoint. Secondary endpoints include patients' and family caregivers' quality of life, perceived care coordination, patients' symptom burden, and cost-effectiveness. Assessments will take place at baseline, 6 months after baseline and 12 months after baseline. In parallel, we will perform a process evaluation, to understand the feasibility of the intervention. Hypothesis: The investigators hypothesize that the PD_Pal intervention will result in an increased number of participants with ACP documentation in the medical records/patient's central file, as compared to care-as-usual. Secondly, the investigators expect that, due to the PD_Pal intervention, patients and their FC will experience better care coordination, better quality of life, a reduced patient symptom burden and the FC will experience a reduction in caregiver burden.
In Parkinson's disease (PD) patients undergoing standard-of-care Deep Brain Stimulation (DBS) therapy, to compare the effect on Parkinson's symptoms of two different neurostimulator settings designed to differ from each other as much as possible with respect to how much they activate two different neuroanatomical structures: the axonal pathway from Globus Pallidus (GP) to Pedunculopontine Nucleus (PPN), and the axonal pathway from PPN to GP.
Background: Falls are common in elderly individuals and those with neurological conditions like Parkinson's disease. Parkinson's disease causes postural instability and mobility issues that lead to falls and reduced quality of life. The fear of falling (FoF), a natural response to unstable balance, can exacerbate postural control problems. However, evaluating FoF relies primarily on subjective self-reports due to a lack of objective assessment methods. Objectives: This mixed-methods feasibility study aims to develop an objective method for assessing fear of falling during motion and walking using virtual reality. This protocol examines a range of FoF-related responses, including cognitive, neuromuscular, and postural stability factors. Methods: Individuals without and with Parkinson's disease will complete questionnaires, movement tasks, and walking assessments in real and virtual environments where FoF can be elicited using virtual reality (VR) technology. Data from center-of-pressure measurements, electromyography, heart rate monitoring, motion capture, and usability metrics will evaluate the method's acceptability and safety. Semi-structured interviews will gather participants' and researchers' experiences of the protocol. Discussion: This method may allow accurate assessment of how FoF impacts movement by measuring cognitive, neuromuscular, and postural responses during gait and motion. Virtual environments reproduce real-life scenarios that trigger FoF. Rigorously assessing FoF with this approach could demonstrate its ability to quantify the effects of FoF on movement. Conclusions: This protocol aims to improve FoF assessment by evaluating multiple responses during movement in virtual environments. It addresses current measures' limitations. A feasibility study will identify areas for improvement specific to Parkinson's disease. Successful validation could transform how FoF is evaluated and managed.
The purpose of this study is to test the performance of the AID-P across 21 sites in the Parkinson Study Group. Each site will perform imaging, clinical scales, diagnosis, and will upload the data to the web-based software tool. The clinical diagnosis will be blinded to the diagnostic algorithm and the imaging diagnosis will be compared to the movement disorders trained neurologist diagnosis.
The Movement Disorders Society (MDS) Unified Parkinson's Disease Rating Scale (UPDRS) Part III (MDS-UPDRS III) is the primary assessment method for motor symptoms in Parkinson's disease patients. Currently, movement disorder specialists conduct semi-quantitative scoring, which entails limitations such as subjectivity, weak sensitivity, and a limited number of professional physicians. This study, based on machine vision, establishes gold standard labels according to expert scoring. By using machine learning, we develop a machine rating model and compare the model's performance with gold standard rating and general clinical rating to investigate the accuracy of machine vision-based MDS-UPDRS III machine rating.
In this study, the investigators will assess the Vagus nerve in two groups: Group 1 which include patients with parkinsonism and group 2 which included age and sex matched healthy control. The aim of the study is: detecting the difference between both groups and correlating the changes in the Vagus nerve cross sectional area with the motor and non motor manifestations of parkinsonism
The purpose of the study is to determine the effects of a novel, personalized, tactile cueing system on gait automaticity. The researchers hypothesized that step-synchronized tactile cueing will reduce prefrontal cortex activity (improve automaticity) and improve gait variability (as well as gait speed). The researchers predict that improved automaticity with improved gait variability will be associated with increased activation of other than prefrontal cortical areas while walking (i.e., sensory-motor). To determine the effects of cueing, 60 participants with PD from will be randomized into one, of two, cueing interventions: 1) personalized, step-synchronized tactile cueing and 2) tactile cueing at fixed intervals as an active control group. In addition, the researchers will explore the feasibility and potential benefits of independent use of tactile cueing during a week in daily life for a future clinical trial. This project will characterize the cortical correlates of gait automaticity, the changes in gait automaticity with cueing in people with Parkinson's Disease, and how these changes translate to improvement in gait and turning. The long-term goal is to unravel the mechanisms of impaired gait automaticity in Parkinson's Disease.
This project aims to investigate whether an integrated model based on proactive and reactive telenursing monitoring coordinated by a parkinsonism nurse specialist (case manager) is able to improve care delivery and quality of life of patients with atypical parkinsonisms. This could reduce the risk (e.g. through health education counselling) and the severity of complications (e.g. falls). Main responsibilities of the Co-PI: project idea and supervision, coordination of the study, patient selection and recruitment, patient recruitment, participation in statistical analysis and drafting the manuscript. Co-PI is responsible of the rate of recruitment and drop-out