View clinical trials related to Multiple System Atrophy.
Filter by:This study will comprise of two phases, an observational phase and a treatment phase. In the observational phase the specific aims are: 1. To determine the presence and regional distribution of microglial activation, as assessed by 18F-PBR06 PET, in subjects with MSA as compared to healthy controls, at baseline and at 6-9 months' follow-up. 2. To assess the relationship between microglial activation and clinical progression at baseline and follow-up. In the treatment phase the specific aims of the study are: The specific aims of the study are: 1. To assess whether verdiperstat (BHV-3241) reduces 18F-PBR06 PET signal, and thus microglial activation and inflammation, in well-characterized MSA patients. 2. To assess the relationship between PET changes and clinical progression at baseline and follow-up in patients treated with verdiperstat. 3. To assess the relationship between PET changes and volumetric brain MRI at baseline and follow-up in patients treated with verdiperstat. Currently there is no known disease modifying therapy for MSA. Recently, the drug verdiperstat (BHV-3241) has appeared in the investigational arena specifically for the indication of Multiple System Atrophy. Verdiperstat (BHV-3241) is currently being used in a phase 3 active drug trial at Massachusetts Hospital. Verdiperstat (BHV-3241) is known to target Myeloperoxidase, an enzyme implicated in neuroinflammation, a major driver in disease pathogenesis. Our previous study (IRB protocol #2016P002373) demonstrated that applying TSPO (translator protein) PET imaging enabled us to track changes in neuroinflammation and thus provide a viable biomarker for disease progression. In this pilot study, the investigators aim to assess the effect of an investigational drug, verdiperstat (BHV-3241) on microglial activation in MSA patients using [F-18]PBR06 and to link it with clinical and morphometric MRI brain changes following treatment.
Patients with atypical parkinsonism often show gait and mobility impairment manifesting in early disease stages. In order to maintain mobility and physical autonomy as long as possible for these patients, we will examine the effect of two types of physiotherapy in patients with multiple system atrophy (MSA), progressive supranuclear gaze palsy (PSP) and idiopathic Parkinson's disease (IPD). The study is divided into an ambulant daily in-patient physiotherapy phase, followed by a home-based training phase. At the beginning and the end of the study, the patients daily activity will be recorded for one week using Physical Activity Monitoring (PAM) sensors. The aim of this double-blind, randomized-controlled study is to determine effective physiotherapy in patients with atypical parkinsonian syndromes in order to maintain mobility for as long as possible.
The present study investigated the efficacy and safety of combination treatment of repetitive transcranial magnetic stimulation (rTMS) and physical therapy (PT) in patients with cerebellar variant of multiple system atrophy (MSA-C) and spinocerebellar ataxia.
The purpose of this study is to determine whether identification of misfolded proteins in the skin will help to determine what sort of parkinsonism someone has. We seek to demonstrate whether someone has a synucleinopathy such as Parkinson's disease (PD), multiple system atrophy (MSA), or dementia with Lewy bodies(DLB), as opposed to a tauopathy such as progressive supranuclear palsy (PSP) or corticobasal degeneration (CBD) or no parkinsonism at all (control).
The study purpose is conducting follow-up surveillance for the incidence of adverse events and efficacy of subjects participated in phase 1 trial to evaluate the safety and tolerability of autologous bone marrow-derived mesenchymal stem cells (CS10BR05) in subjects with Multiple System Atrophy until 60 months from administering investigational product (IP).
With the increase in life expectancy of our population due to advancement of medical diagnosis and treatments, the incidence of age dependent neurodegenerative diseases increased, including Alzheimer's disease (AD), parkinsonian syndromes (PS), small vessel disease (SVD) and motor neuron disease (MND). In spite of the progress of knowing the pathogenesis of various neurodegenerative diseases at molecular and genetic level, they are still very incompletely understood and often cause diagnostic and therapeutic challenges to physicians. Due to the overlapping presentation and similar brain pathology, especially in the early stage of the diseases, it is difficult to differentiate idiopathic Parkinson's disease (iPD) from atypical parkinsonian syndromes, such as multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). Similarly, distinguishing AD from other dementia syndromes including frontotemporal dementia (FTD), dementia with Lewy Bodies (DLB), corticobasal degeneration (CBD) and vascular dementia can be difficult. It is necessary to develop accurate and comprehensive diagnostic tests to properly prognosticate the diseases, start treatments in early stage of the diseases and maximize the accuracy of drug trials for more effective preventive and therapeutic measures for these neurodegenerative diseases. Therefore, the registry aims to generate a large database of cognitive, behavioral, lifestyle and psychological information of the subjects who suffered from neurodegenerative diseases, as well as to examine the genetic basis of neurodegenerative diseases to help decode the pathogenic mechanisms of the diseases. The registry may provide important information to understand symptom development of the neurodegenerative diseases, in which may help physicians to diagnose the diseases more accurately and provide better treatment plans.
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.
TRACK-MSA is an observational, non-interventional, longitudinal natural history study to define changes in clinical, neurological, blood, CSF, and neuroimaging biomarkers in patients with multiple system atrophy (MSA) comparing baseline to 6-month and 1-year assessments. The study will enroll 50 patients with MSA-P or MSA-C at 2 or more participating sites.
Fifty patients with early stage Multiple System Atrophy (MSA) will be recruited and randomised to receive Exenatide injections, or to act as controls in this open label trial. For half of the patients, Exenatide will be given as a once weekly subcutaneous injection in addition to participant's regular medication. All patients will continue to receive standard of care treatment for MSA. Detailed assessments will be made of all patients at baseline and periodically for a total of 48 weeks. The primary endpoint will be the difference in total Uniļ¬ed Multiple System Atrophy Rating Scale (UMSARS) score (Parts I and II) at 48 weeks comparing Exenatide treated to best medically treated patients (controls). Secondary measures will include adverse event reports, self-completed questionnaires, and blood test results. Aside from these assessments, all patients will continue any regular MSA medications throughout the trial with adjustments made only according to clinical need. Standard of care treatment for patients on non IMP arm will be dependant on the patients individual symptoms - there is no broad standard treatment for every patient.
Transcranial magnetic stimulation (TMS) is a procedure that has been shown to improve fatigue in chronic sufferers. It uses a plastic covered coil that sends a magnetic pulse through the skull into the brain and by targeting particular areas in the brain it can be used to help modulate the perception of fatigue. The study intends to use this technique to treat such a disabling symptom in patients who suffer from Multiple System Atrophy (MSA). Initially the aim is to study this technique in 22 MSA patients who are suffering from fatigue . These patients would require an resting-state funtional MRI before and after the stimulation. The stimulation would be performed ten sessions and the patients would be assessed by a clinician using well recognized clinical tools. It is anticipated that there will be a meaningful improvement in fatigue. It is also anticipated that TMS is a safety technique to use in MSA patients . Our findings will revealed that fatigue may be associated with an altered default mode network and sensorimotor network connectivity in MSA patients. We hypothesize that these divergent motor and cognitive networks connectivity changes and their adaptive or maladaptive functional outcome may play a prominent role in the pathophysiology of fatigue in MSA.