Parkinson's Disease Paid Clinical Trials in Oregon

The Parkinson's Genetic Research Study (PaGeR), headed by Dr. Cyrus Zabetian, is searching for genes that increase the risk of developing Parkinson's disease (PD) and related disorders. The study is a joint effort by neurologists and researchers across the United States and is sponsored by the National Institutes of Health. The coordinating center for PaGeR is located at the University of Washington and the VA Puget Sound Health Care System in Seattle. 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

Lay Summary: Walking problems, such as slow and short steps, are very common in Parkinson's disease and lead to increased falls risk, as well as reduced mobility and quality of life. Walking issues are difficult to treat as medication interventions do not restore walking ability in people with Parkinson's, therefore physiotherapy approaches are used to help improve walking. Various physiotherapy strategies have been used, such as internal (thinking about bigger steps) or external prompts. External prompts include auditory (a metronome beat to step in time to), visual (lines to step over on the floor) and tactile (metronome-like vibration to step with) prompts that are very commonly used to improve walking in Parkinson's. However, the reason why walking improves in people with Parkinson's with these physiotherapy strategies is unknown, which has led to not all patients benefiting and only short-term walking improvements being seen. The main issues are that it is unclear if these various internal or external prompt strategies are effective with the progression of Parkinson's disease, and it is unknown which type of strategy is most effective at different disease stages or with more severe walking impairment, such as freezing (the inability to progress walking for short periods despite wanting to do so). Being able to use specific brain regions to pay attention to different internal or external prompts has been suggested to be the reason why people with Parkinson's can overcome their walking problems, but this has not been tested. Therefore, this study will use state-of-the-art digital technology to measure walking and brain activity changes with different internal and external prompts. The investigators think that the walking improvement with different prompt strategies relies on the ability to activate specific brain regions, and that brain region activity in response to internal or external prompts will change at different stages of Parkinson's disease. Ultimately, understanding the reasons why people benefit from these physiotherapy strategies and who benefits most from specific strategies will enable clinicians to provide more timely and efficient treatment for people with Parkinson's, and to develop more effective strategies to further improve walking. Read Less