View clinical trials related to Deep Brain Stimulation.
Filter by:A Multi-Center, Controlled Study to Evaluate Use of CereGate Therapy to Reduce Freezing of Gait in Participants Diagnosed with Parkinson's Disease.
Deep brain stimulation (DBS) represents the treatment of choice for advanced stages of Parkinson's disease (PD). Currently, adaptive closed-loop stimulation systems that apply disease-specific biomarkers, such as local field potentials (LFPs), are being actively examined to facilitate DBS programming. However, the most suitable feedback signal, still remains to be determined. The investigators previously tested the usefulness of the patient's subjective rating on a visual analogue scale (VAS) as a potential feedback signal for DBS adjustment and found that VAS-based programming lead to similar results as our standard approach. One of the practical advantages of using VAS-based programming strategies - in addition to saving time - is the principal applicability of such an approach to a remote programming setting, although a validation of such an approach is required. Within the scope of a prospective, randomized multicenter clinical trial (the REMOTE Trial), the investigators will examine the effectiveness and safety of VAS-based remote DBS programming in PD by using a novel and recently introduced software platform (Abbott NeurosphereTM Virtual Clinic) that allows for the programming through a smartphone-based video connection with the patient. Therefore, n = 50 PD patients undergoing STN-DBS surgery will be randomized and subsequent to surgery will have their IPG settings adjusted either during regular visits at the hospital or alternatively be programmed remotely through a VAS-based approach. Prior to surgery and after a 90 days follow-up period, we will assess specific clinical (MDS-Unified Parkinson's Disease Rating Scale = UPDRS, Parkinson's Disease Questionnaire-39 sum index = PDQ-39 SI, Beck Depression Inventory = BDI, Montreal Cognitive Assessment Scale = MOCA) parameters to determine the effectivity and safety of the two different strategies on the patient outcome and to correlate it with VAS ratings and MRI data. The results will support the examination of remote-based DBS programming and evaluate the patient's subjective judgment as a valid feedback signal.
The project uses virtual reality technology to recreate situations that cause freezing of gait in individuals with Parkinson's disease. Individuals who underwent deep brain stimulator (DBS) surgery for Parkinson's disease will walk through a virtual reality environment while brain signals are recorded from the DBS device. The goal is to better understand what occurs in the brain during freezing of gait.
The primary objective of this exploratory study is to prospectively evaluate the feasibility of image-guided programming of pallidal deep brain stimulation (DBS) for dystonia. The dystonias are a heterogeneous group of movement disorders that share the core clinical feature of abnormal involuntary muscle contractions in common. Pallidal DBS is an established therapy for severe cases with an average improvement in dystonia severity of 50-60%. However, outcomes are variable and difficult to predict, and clinical trials report up to 25% of Nonresponders. Variability in electrode placement and inappropriate stimulation settings may account for much of this variability in outcome. In addition, improvement in dystonia is delayed, often days to weeks after a change in DBS therapy, complicating programming. Our group recently developed a computer model to predict optimal individualized stimulation settings in patients based on the outcome of a large cohort of of chronically treated patients. In-silico testing showed a 16.3% better mean group improvement with computer-assisted programming compared with physician-assisted programming and a dramatic reduction in non-responders (from 25% to 5%). In this prospective study, the computer model will be compared in a randomized, controlled, and double blinded setting against best clinical DBS programming. The primary outcome will be a responder analysis in which dystonia severity will be compared between conventional clinical and model-based programming will be compared.
The study's aim is to better understand motivation and value-based decision making in Parkinson's patients through neurophysiology using Medtronic's Percept PC DBS device.
The purpose of this study is to assess how alternating-frequency Deep Brain Stimulation (DBS) works to improve postural instability and gait, while also treating other motor symptoms of Parkinson Disease (PD).
Deep brain stimulation (DBS) is recognized as the most safe and effective neurosurgical method for the treatment of advanced Parkinson's disease. However, the mechanism of relieving motor and non-motor symptoms of Parkinson's disease has not been fully clarified, and the prognosis is significantly different. This study is based on multimodal MRI technique to clarify the mechanism of DBS in relieving motor and non-motor symptoms of Parkinson's disease, and to explore imaging indicators that can predict prognosis, so as to guide the individual and accurate treatment of Parkinson's disease (PD).
The purpose of this study is to evaluate safety of Deep Brain Stimulation (DBS) of the lateral hypothalamus (LH) and whether the use of DBS can increase motor performance in patients with chronic spinal cord injury (SCI). The hypothesis, based on preclinical findings, is that DBS of the lateral hypothalamus can acutely augment leg motor function after SCI, and that the use of lateral hypothalamus DBS can be an adjunct during rehabilitation to promote recovery and long-term neuroplasticity.
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.
This study aims to observe the changes of intestinal microbiota after deep brain stimulation (DBS) therapy for Parkinson's disease, and explore the role of intestinal microbiota in the neuroprotective effect of DBS.