Parkinson's Disease Paid Clinical Trials in Oregon

This study will enroll participants with idiopathic REM sleep behavior disorder (RBD) and healthy controls for the purpose of preparing for a clinical trial of neuroprotective treatments against synucleinopathies. Read Less

The primary purpose of this study is to demonstrate the superiority of UCB0022 as an adjunctive treatment to stable dose of standard-of-care (SoC) (including at least levodopa therapy) over placebo with regard to motor fluctuations time spent in the OFF state (OFF time) in study participants with advanced Parkinson's Disease (PD). Read Less

The purpose of this randomized, double-blind, placebo-controlled study is to assess the efficacy of BIA 28-6156 over placebo in delaying clinical meaningful motor progression over 78 weeks in subjects with Parkinson's disease who have a pathogenic variant in the glucocerebrosidase 1 (GBA1) gene (GBA-PD). Read Less

This study investigates the safety and tolerability of drug IkT-148009 in untreated Parkinson's disease volunteers (30 to 80 years old). It also looks at the pharmacokinetics of IkT-148009 in the body and evaluates the effect of IkT-148009 on motor and non-motor features of the disease. This 12 week study is designed to be 3:1 randomized across 3 doses of IkT-148009 or placebo. Each participant will self-administer one of 3 doses or placebo of IkT-148009 once daily (QD) with food for 12 weeks. For more information, visit our website: www.the201trial.com Read Less

This study is a Phase 3 multi-site, randomized, evaluator-masked, study of endurance treadmill exercise on changes in the Movement Disorder Society-Unified Parkinson Disease Rating Scale (MDS-UPDRS) Part III score at 12 months among persons with early stage Parkinson disease. 370 participants will be randomly assigned to 2 groups: 1)60-65% HRmax or 2)80-85% HRmax 4 times per week. The primary objective is to test whether the progression of the signs of Parkinson's disease is attenuated at 12 months in among persons who have not initiated medication for Parkinson Disease (PD) when they perform high-intensity endurance treadmill exercise. Read Less

The purpose of the present research is to examine the effectiveness of a non-invasive, vibrotactile stimulation protocol, known as coordinated reset (CR), for the alleviation of motor symptoms in patients with Parkinson's disease (PD). PD patients exhibit rigidity, slowness (bradykinesia) and poverty (akinesia) of movement as well as other symptoms. Treatment for PD is either pharmacological (first line) or invasive deep brain stimulation. The non-invasive, vibrotactile stimulation approach uses a novel stimulation pattern to disrupt the pathophysiological mechanism that is responsible for PD symptoms and thus restore motor function. Read Less

Patients with Parkinson's disease (PD) sometimes experience symptoms affecting their movement, such as slowness, tremor, stiffness, and balance or walking problems. Many patients also have other symptoms not related to movement, called non-motor symptoms, which may affect one's mood or emotions, memory or thinking, or cause one to see or hear things that aren't real (hallucinations) or believe things that aren't true (delusions). Hallucinations or delusions, together called psychosis, occur in up to 60% of PD patients at some point in time. Parkinson's disease psychosis can sometimes be associated with decreased quality of life, increased nursing home placement, increased rate of death, and greater caregiver burden. There are approximately 50,000 Veterans with Parkinson's disease receiving care in the VA, and up to 30,000 (60%) of them will experience psychosis at some point in time. Quetiapine is an antipsychotic drug approved by the Food and Drug Administration (FDA) that is the most commonly used medication to treat PD psychosis, but more studies are needed to determine if it works for this condition and is also well tolerated and safe. Pimavanserin is a newer antipsychotic drug approved by the Food and Drug Administration (FDA) specifically to treat PD psychosis, but more studies are needed to determine if it works and its safety. The purpose of this research is to gather additional information on the safety and effectiveness of both Quetiapine and Pimavanserin. By doing this study, the investigators hope to learn which of these medications is the most effective course of treatment for people with PD psychosis. Read Less

The Parkinson Progression Marker Initiative (PPMI) is a longitudinal, observational, multi-center natural history study to assess progression of clinical features, digital outcomes, and imaging, biologic and genetic markers of Parkinson's disease (PD) progression in study participants with manifest PD, prodromal PD, and healthy controls. The overall goal of PPMI is to identify markers of disease progression for use in clinical trials of therapies to reduce progression of PD disability. Read Less

The objective of this study is to describe disease progression in study participants diagnosed with early Parkinson's Disease or Multiple System Atrophy - Parkinsonian Type up to 18 months as delineated by clinical and biochemical parameters. Read Less

This study plans to analyze the molecular and clinical mechanisms of the relationship between the GBA mutations and Parkinson's disease. This will be assessed through the use of advanced neuroimaging techniques called PET (positron emission tomography) to study the accumulation of the tau protein and the dysfunction of acetylcholine and dopamine in the brain of people with a mutation in the GBA gene, with and without Parkinson's disease. The ingestigators will also use a technology-based assessment to study the typing patterns as possible biomarkers of early motor dysfunctions. Read Less

This project will determine the feasibility and efficacy of remote assessment and treatment of balance disorders in people with Parkinson's disease. Read Less

This project adds to non-invasive BCIs for communication for adults with severe speech and physical impairments due to neurodegenerative diseases. Researchers will optimize & adapt BCI signal acquisition, signal processing, natural language processing, & clinical implementation. BCI-FIT relies on active inference and transfer learning to customize a completely adaptive intent estimation classifier to each user's multi-modality signals simultaneously. 3 specific aims are: 1. develop & evaluate methods for on-line & robust adaptation of multi-modal signal models to infer user intent; 2. develop & evaluate methods for efficient user intent inference through active querying, and 3. integrate partner & environment-supported language interaction & letter/word supplementation as input modality. The same 4 dependent variables are measured in each SA: typing speed, typing accuracy, information transfer rate (ITR), & user experience (UX) feedback. Four alternating-treatments single case experimental research designs will test hypotheses about optimizing user performance and technology performance for each aim.Tasks include copy-spelling with BCI-FIT to explore the effects of multi-modal access method configurations (SA1.3a), adaptive signal modeling (SA1.3b), & active querying (SA2.2), and story retell to examine the effects of language model enhancements. Five people with SSPI will be recruited for each study. Control participants will be recruited for experiments in SA2.2 and SA3.4. Study hypotheses are: (SA1.3a) A customized BCI-FIT configuration based on multi-modal input will improve typing accuracy on a copy-spelling task compared to the standard P300 matrix speller. (SA1.3b) Adaptive signal modeling will allow people with SSPI to typing accurately during a copy-spelling task with BCI-FIT without training a new model before each use. (SA2.2) Either of two methods of adaptive querying will improve BCI-FIT typing accuracy for users with mediocre AUC scores. (SA3.4) Language model enhancements, including a combination of partner and environmental input and word completion during typing, will improve typing performance with BCI-FIT, as measured by ITR during a story-retell task. Optimized recommendations for a multi-modal BCI for each end user will be established, based on an innovative combination of clinical expertise, user feedback, customized multi-modal sensor fusion, and reinforcement learning. Read Less