ClinicalTrials.gov
public full text
Public Domain
Movement State-dependent Adaptive DBS for PD
This is a single-center clinical study aiming to improve gait functions in patients with Parkinson's Disease (PD) by using adaptive neurostimulation to the pallidum. The investigators will use a bidirectional deep brain stimulation device with sensing and stimulation capabilities to 1) identify neural biomarkers to detect the onset of walking by recording neural activities from the motor cortical areas and the globus pallidus, 2) understand the impacts of changes in DBS parameters on gait kinematics and optimize setting parameters for enhancing walking performance, 3) develop a movement state-dependent adaptive deep brain stimulation (DBS) paradigm to automatically switch stimulation settings according to different movement states (i.e., walking vs non-walking). The proposed therapy will deliver personalized neurostimulation based on individual physiological biomarkers to enhance gait function in patients with PD. 6 patients with idiopathic Parkinson's disease who have already been implanted with the Medtronic Summit RC+S device will be enrolled in this study.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Deep Brain Stimulation on Dual-task Gait Performance in PD#1101800
- Short Pulse Width DBS in Parkinson's Disease#1140011
- Enhancing Gait Using Alternating-Frequency DBS in Parkinson Disease#1170905
- Alternating DBS for Stepping Control in Parkinson's Disease#908006
- Deep Brain Stimulation for Autonomic and Gait Symptoms in Multiple System Atrophy#909866
Record · ID 1045925
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive