View clinical trials related to Parkinson Disease.
Filter by:Ketones esters have shown to improve mitochondrial function and are currently use to enhanced functional performance. As Mitochondrial dysfunction is one of the proposed mechanism of neuronal injury in Parkinson's disease, the study aims to assess the tolerability,side effects and effect of oral ketone esters in Patients with Parkinson's disease.
The primary purpose of this two-part study was to evaluate the safety and tolerability of SAGE-718 and its effects on cognitive, neuropsychiatric, and motor symptoms in participants with Parkinson's disease mild cognitive impairment (PD-MCI).
The investigators will aim enroll participants into our study within 3-6 months after their parent study visit so the investigators can utilize some key data points (e.g. PD-MCI diagnosis, rs-fcMRI data) from that study. PD participants will participate in a single-blind RCT with two treatment arms: process training and strategy training (Fig 4). They will complete pre-training assessment (Pre), be randomized to treatment arm (1:1 ratio stratified by sex), and then complete 8 training sessions over an 8-week period. They will return within 1 week for post-training assessment (Post) and then will complete Follow-up (FU) assessments via web or mailed survey 3 and 6 months after training ends. They will complete a 12mo FU assessment in person in conjunction with their annual parent study visit. HC participants will complete prospective memory assessment at one time point coinciding with (or within 3-6 months of) their parent study visit to determine whether any relationships observed between rs-fcMRI data and prospective memory are specific to PD.
The hypothesis is that the differential extent of microstructural damages in the affected brain regions can be specific to the disease of interest and could reflect the clinical severity. Therefore, we propose that the whole brain parcellation of diffusion MRI can be used to improve the diagnosis and prediction of clinical outcomes in Parkinson's Disease. 1. A regression model between clinical severity and two-year clinical outcomes and diffusion properties from multiple parcellated regions will be developed. 2. Blind validation will be performed.
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.
Alzheimer's disease (AD) and Parkinson's disease (PD) are currently the leading neurodegenerative disorders. Considering the fact that aged population is rapidly growing, it has become a critical issue to find more effective medications for these two disorders. The aim of this project is to examine the effectiveness and safety of DAAOI-P treatment for PD with dementia.
This study aims to explore the feasibility and effectiveness of mindfulness-based cognitive therapy (MBCT) in reducing anxiety and/or depressive symptoms in people with Parkinson's disease (PD) and caregivers of people with PD.
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.
Sleep benefit (SB) consists of a spontaneous, transient and inconsistent improvement of the mobility occurring on morning awakening in approximately 40% of Parkinson's disease (PD) patients, before taking the first morning dose of dopaminergic drugs. The SB could represent a pathway for the development of new therapeutic strategies for motor symptoms in PD. Being a seemingly unpredictable phenomenon and a great variability daily, inter- and intra-subject, the SB study requires multiple and repeated assessments of mobility for several days. An experimental home setting would be optimal for this purpose in terms of cost-effectiveness and patient acceptability. In addition, since the extent and nature of SB have not been well characterized so far, and the magnitude of its variability is unknown, a reliable assessment method, independent of observers and situation, the SB is a requirement of further research in this area. A recently developed technique combining machine learning algorithms with wireless portable sensors (accelerometers and gyroscopes) and software applications could be particularly promising for characterizing the complexity and multiplicity of SBs in. With this technique, repeated and multiple assessments of mobility can be performed in the homes of patients without the constant presence of a researcher. This approach offers several advantages in terms of cost-effectiveness, feasibility and acceptability of study protocols by patients. It also improves the ecological validity of subjective and objective estimates of mobility in these patients. The investigators chose to conduct this preliminary study on patients with PD rather than on healthy subjects, because SB is a phenomenon that has been described so far only in this population. Investigators also consider that the feasibility of the study will depend mainly on the patients' ability to move and the context of their own illness. SB is a phenomenon induced by sleep. The propensity and timing of sleep depend on the coordinated interaction of the duration of the previous awakening (homeostatic process) and a circadian signal (circadian process). In order to better understand SB, it is necessary to study the reciprocal influences of the circadian and homeostatic process. Investigators have devised a new paradigm to "shift" the circadian process phase around the homeostatic process, maintained under constant conditions, in order to observe the effect of the synchronism or desynchronization of these two processes on the awakening mobility of patients with an MP. This experimental approach was approved by Professor Aleksandar Videnovic (Harvard University School of Medicine, USA), opinion leader on circadian rhythmicity in the MP and scientific collaborator of this study. As a first step, the investigators plan to implement a technology-assisted home-based methodology, to validate it in PD patients and to verify the logistic feasibility of this method-assisted approach in a small group of patients, in order to to be able to apply this paradigm in larger scientific projects.
The consequences of COVID-19 in these already fragile patients should be evaluated. It will be important to appreciate the confinement consequences imposed on the patient on the course and impact of the disease. These consequences can be assessed by the end of confinement and 6 months after the latter is lifted.