ClinicalTrials.gov
public full text
Public Domain
Long-term PAS in Rehabilitation After SCI
The investigators have recently shown in two pilot incomplete SCI patients that long-term paired associative stimulation is capable of restoring voluntary control over some paralyzed muscles and enhancing motor output in the weak muscles (1). In this study, the investigators will administer long-term paired associative stimulation to incomplete SCI patients in a long-term manner, keeping each patient in the study for as long as continuous improvement is observed.
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
- Non-Invasive Neuromodulation for Upper Extremity Function in Spinal Cord Injury: A Crossover Trial#1125721
- Effects of Transcutaneous Spinal Cord Stimulation on Residual Voluntary Motor Control in Individuals With Incomplete Spinal Cord Injury#894851
- Functional Interest of Non Invasive Brain Stimulation During Physiotherapy at a Subacute Phase Post Stroke (Anodal Protocol): ReSTIM#866975
- The Impact of Dosing Parameters on Motor Skill Acquisition and Retention in Bilateral Cerebral Palsy (BCP)#879097
- Study on Feasibility of Stimulation on the Lumbar Part of the Spinal Cord to Improve Mobility Recovery in Patients With Sub-acute Spinal Cord Injury#876214
Record · ID 855811
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