ClinicalTrials.gov
public full text
Public Domain
Biomarkers to Predict Gain From Therapy in Motor Stroke
The aim is to determine predictors of treatment response, i.e gain from rehabilitation training, in post stroke upper limb deficits. The investigators will like to answer the following question: "What is this patient's potential for recovery, given his profile?" The investigators propose to conduct a longitudinal physiopathological study on the stroke patients with motor deficits who entered the rehab center of Pitié Salpêtrière hospital. The investigators will benefit from the organization, which is already in place (clinical asssessments and training) to add MRI, TMS and EEG recordings, as well as genotype analysis before the training offered in the rehabilitation unit. The investigators will repeat these assessments after the training (immeadiately and 6 weeks after).
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
- Quantitative Prognostic Analysis of Upper Limb Motor Dysfunction After Stroke#834588
- The Effect of Blood Flow Restriction Training Combined With Transcranial Magnetic Stimulation on Limb Function in Hemiplegic Patients After Stroke#825527
- Evaluating the therapeutic impact of early multimodal rehabilitation in hemiplegic stroke patients: A quasi-experimental study.#402816
- Facilitators and Barriers to the Clinical Implementation of MR-001#897403
- Critical Periods After Stroke Study (CPASS)#1171253
Record · ID 919034
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