Active clinical trials for "Parkinson Disease"

There is increasing evidence that the usage and delivery of energy to the brain, known as brain energetics, is altered in people with Parkinson's disease (PD). This project will explore whether exercise has a positive impact on brain energetics using functional Magnetic Resonance Imaging (fMRI) and Positron Emission Tomography (PET) brain scanning in PD subjects. PD subjects will be scanned before and after a supervised exercise program to investigate the effect of exercise on brain energetics. In a separate study, the investigators will also scan healthy volunteers to compare brain energetics in the healthy brain with the brain energetics data in PD subjects acquired in this study.

The purpose of this study is to learn more about the effects of abdominal compression and the medication midodrine, two interventions used for the treatment of orthostatic hypotension (low blood pressure on standing), on hemodynamic markers of cardiovascular risk. The study will be conducted at the Vanderbilt University Medical Center and consists of a screening and 2 testing days, one with abdominal compression and one with midodrine. The total length of the study will be about 5 days.

Deep brain stimulation of the subthalamic nucleus (STN DBS) in Parkinson's disease (PD) can provide substantial motor benefit yet can also produce unwanted mood and cognitive side effects. Although the neural mechanisms underlying benefits and side effects are not well understood, current hypotheses center on the potentially measurable yet currently undefined effects within downstream cortical networks. Limitations of current tools have impeded attempts to assess network connectivity directly and dynamically in humans with implanted DBS; PET lacks the necessary temporal resolution while fMRI is neither optimal nor safe for patients with implanted DBS. In this proposal, to overcome these significant limitations, the investigators apply high-density diffuse optical tomography (HD-DOT) methods to investigate how STN DBS modulates cortical functional networks and behavior in PD patients. HD-DOT uses a collection of functional near-infrared spectroscopy (fNIRS) measurements, free of radiation exposure concerns, and without electrical/metal artifacts or contraindications or safety concerns for DBS. However, common fNIRS systems are critically hampered by typically sparse measurement distributions that lead to poor anatomical specificity, unreliable image quality due to crosstalk with scalp signals, poor spatial resolution, limited field of view, unstable point spread functions, and uneven spatial coverage. HD-DOT solves these problems by using high-density interlaced source and detector imaging arrays that support densely overlapping measurements and anatomical head models that together result in higher spatial resolution, stable point spread functions, and greatly improved isolation of brain signals from scalp signals. The investigators have demonstrated that HD-DOT accurately maps functional connectivity (FC) within and between cortical resting state networks (RSNs) in the outer ~1cm of cortex with comparable temporal and spatial resolution to fMRI. Preliminary data in older controls and STN DBS patients that directly establish validity and feasibility for the proposed studies are provided. A recent comprehensive evaluation of FC in PD (without DBS) using fMRI found reduced within-network FC in visual, somatomotor, auditory, thalamic and cerebellar networks and reduced between-network FC involving predominantly cortical RSNs (somatomotor, sensory and association), some of which correlated with cognitive and motor dysfunction in PD. Notably, striatal RSNs were not abnormal. These data suggest that PD affects the interrelationships of cortical networks in a behaviorally meaningful way, far downstream of focal subcortical neuropathology. STN DBS is known to alter activity in downstream cortical regions that function as nodes within these dynamic cortical networks supporting movement and cognition. Thus, cortical network FC may play a critical role in mediating the impact of STN DBS on motor and non-motor behavior. Location of the stimulating contact may further modulate these downstream effects, due to the complex functional organization of the STN region. Study procedures include motor and cognitive tests, questionnaires, HD-DOT scanning, and MRI scans. The investigators propose to investigate how STN DBS influences downstream cortical network FC using HD-DOT. This information could lead to more efficient clinical optimization of DBS, identify potential cortical targets for less invasive neuromodulation, and lay the groundwork for future more complex experimental manipulations to determine the full range of STN DBS-induced cortical network responses to up-stream focal electrical perturbations, revealing fundamental properties of functional network plasticity.

A prospective cohort of patients scheduled to undergo deep brain stimulation (DBS) implantation surgery for the treatment of Parkinson's disease as per standard of care will be invited to participate in this study. This mechanistic study is aimed at better understanding the role of basal ganglia beta band (11-35 Hz) oscillations and resonance in the manifestation of Parkinson's disease (PD) motor signs using closed-loop electrical neurostimulation, levodopa medication, and computational modeling. The ultimate goal of this study is to inform the development of closed-loop neuromodulation technology that can be programmed and adjusted in real time based on patient-specific neural activity.

This is a 10-week randomized, controlled study to compare the safety and efficacy of two common fiber supplements, psyllium and wheat bran in terms of changes in body weight, nutrition status, and bowel function in patients with Parkinson's Disease who have constipation symptoms. After a 2-week run-in period, participants will be randomized to receive 10 grams daily of psyllium, coarse wheat bran, or maltodextrin (placebo) for 8 weeks. Nutritional and neurological evaluations will be conducted at the beginning and end of the 8-week intervention period.

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.

Parkinson's Disease (PD) is often accompanied by non-motor symptoms that make treatment more difficult. One such symptom is apathy (lack of motivation and emotion). There are no treatments for apathy in PD, and this remains a major unmet need in PD patients. One possible way to target apathy in PD patients is listening to music, which has been shown to help improve apathy in older adults. Little work has explored the mechanism in which music targets apathy. Thus, the goal of this study is to understand how music listening can impact the brain towards decreasing apathy in PD patients.

A randomized, controlled trial to evaluate the effect of six months digital follow-up, after a stay at a rehabilitation center, on functional and nutritional status in people with Parkinson Disease.

Patients diagnosed with Parkinson's disease (PD) undergoing deep Brain Stimulation (DBS) have a higher risk of perioperative complications and postoperative pain will affect quality of recovery (QoR) resulting in longer hospitalization time and higher hospital costs. Scalp nerve block (SNB) combined with intercostal nerve block (ICNB)can alleviate postoperative pain while effect of them on postoperative recovery quality of patients diagnosed with PD was unclear. Therefore, the investigators conducted a randomized controlled trails to provide a novel method for enhanced recovery and early prevention and treatment of acute pain after DBS surgery.

A pilot experiment interventional study is proposed in order to set up multidisciplinary team for Parkinson's patients at home. The aim of this study is to evaluate the effectiveness of this specialized Parkinson's team (ESPark) intervention a on the quality of life of patients with moderate to severe Parkinson's disease