View clinical trials related to Supranuclear Palsy, Progressive.
Filter by:The study will be conducted by the Sponsor to evaluate Twelve-months Long-Term Safety and Efficacy of GV1001 (1.12 mg) administered subcutaneously as a treatment for Progressive Supranuclear Palsy(PSP). In 75 patients diagnosed with PSP Richardson(PSP-RS) or PSP-Parkinsonism (PSP-P) who Completed Study GV1001-PSP-CL2-011.
The New York Stem Cell Foundation (NYSCF) Research Institute is performing this research to accelerate diverse disease research using cells from the body (such as skin or blood cells) to make stem cells and other types of cells, conduct research on the samples, perform genetic testing, and store the samples for future use. Through this research, researchers hope to identify future treatments or even cures for the major diseases of our time.
ORION Trial is a trial to evaluate the efficacy and safety of AMX0035 in participants with Progressive Supranuclear Palsy (PSP), consisting of a randomized double blind placebo controlled phase, followed by an optional open-label extension phase.
The primary objective of this study is to enroll an observational cohort of approximately 60 patients with PSP over the course of 24 months using a multicenter study design and to follow each of them for 12 months. The secondary objective of this study is to develop a robust solution for multi-modal remote monitoring of motor symptoms and function in PSP that can be applied to other Frontotemporal lobar degeneration (FTLD) syndromes.
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 goal of the Speech Accessibility Project at the University of Illinois Beckman Institute (https://speechaccessibilityproject.beckman.illinois.edu) is to collect, annotate, and curate a shared database of speech samples from people with atypical speech, and share this data set with researchers at other organizations. This two-year project plans to collect 1,200,000 speech samples from 2,000 people, each of whom will provide 600 samples. In Year 1, the initial focus will be people with Parkinson's. In Year 2, four more etiologies of interest will be recruited: Amyotrophic Lateral Sclerosis (ALS), Cerebral Palsy (CP), Down Syndrome (DS), and Stroke. UIUC will build an open-source software infrastructure to collect annotated speech samples and share these data in an appropriately secure fashion with researchers from our partner technology companies (and eventually, other organizations as well) so that they can use these data to improve their automatic speech recognition algorithms. This project promotes diversity, equity, and inclusion by helping technology companies to fully support all types of speech, and it is also more efficient and less burdensome for these specialized patient populations to have one centralized "collector" of speech samples.
The study will be conducted by the Sponsor to evaluate the efficacy and safety of GV1001 (0.56 mg and 1.12 mg) administered subcutaneously as a treatment for Progressive Supranuclear Palsy, (PSP). In 75 patients diagnosed with PSPR Richardson(PSP-RS) or PSP-Parkinsonism (PSP-P) at five hospitals in Korea, subcutaneous administration of GV1001 0.56 or 1.12 mg/day will be conducted with multicenter, randomized, double-blind, placebo-controlled, parallel design, prospective phase 2a.
Study Rationale: No accurate tests currently exist to diagnose Parkinson's disease (PD) and the conditions which mimic it (atypical parkinsonism) at a very early stage. Similarly there are no accurate ways to track how these diseases progress in a very precise manner. Recording eye movements and pupils may be a very sensitive way of doing this and may contain important information about a patient's diagnosis and their cognitive and motor function. Hypothesis: We hypothesize that measuring eye movements and pupil changes while people watch short video clips will differentiate PD and atypical parkinsonism at an early stage. We hypothesize that eye movements and pupil changes will be able to track how a person's disease changes over time and could even predict their disease course from the start. Before we can do this, we need to be able to accurately differentiate between PD and atypical parkinsonism and see how eye movements vary among people with the same disease. Study Design: We will ask a large number of people with PD and atypical parkinsonism to watch very brief video clips while we record eye movements and pupil responses. This is like changing the television channel every few seconds and observing what happens to a person's eyes as they search the new clip. We will compare these results between different disease groups and correlate them with clinical features of PD and atypical parkinsonism. Impact on Diagnosis/Treatment of Parkinson's disease: This may have enormous impact in the assessment of people with PD. It may become an important diagnostic tool, a prognostic marker at the early stage of disease, as well as providing the ability to track disease progression in clinical trials. Next Steps for Development: Once we can demonstrate that eye tracking can differentiate these conditions, we will follow a large number of patients to see how their eye movements and pupils change over time with their disease. If this is a reliable way to track disease it could be used to measure disease progression in these conditions and response to treatment.
The purpose of this cohort study is to develop a reliable biomarker in progressive nuclear palsy (PSP).
There is an urgent need for the development of digital progression biomakers, which are sensitive to detect small, but potentially clinically relevant changes in the disease course. Digital biomarkers are based on (i) continuously collected real-time data, during the patient's day to day activities; and (ii) task-based assessment. In this study the investigators are interested in developing algorithms for the detection of disease progression in PSP patients in key clinical parameters: bradykinesia, gait, rising from a chair and falls, based on (i) sensor data obtained by means of passive monitoring during daily living; and (ii) sensor data collected during the Virtual Motor Exam.