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Studying Motor Function and Brain Changes in Stroke Patients Using Advanced High-Field MRI
Led by Commissariat A L'energie Atomique · Updated on 2026-01-14
110
Participants Needed
1
Research Sites
61 weeks
Total Duration
AI-Summary
What this Trial Is About
Researchers are investigating motor function and brain reorganization in stroke patients using advanced ultra high-field MRI technology. This study aims to develop a detailed brain atlas by combining structural and functional MRI data from 100 stroke patients to better understand how motor deficits relate to brain connectivity. The research uses machine learning to analyze brain activity and motor task performance, with the goal of improving neuroprosthesis placement for future stroke rehabilitation trials. Participants undergo task-based and resting-state functional MRI sessions that include motor imagery and motor execution tasks. These scans, performed on 3T and 7T MRI machines, collect detailed brain activity and structural data. The study includes both patients with chronic ischemic stroke and healthy volunteers. The data will be analyzed to predict individual motor action intentions and explore patterns of brain reorganization. During the study, participants complete MRI scans along with clinical assessments, including cognitive tests such as the MMSE. Researchers monitor brain function related to motor tasks using fMRI and collect clinical information to feed into artificial intelligence models. The main outcome measure is the accuracy of AI predictions for motor intention. Participants involvement spans from initial MRI data acquisition to detailed analysis, with results expected to support future clinical applications and provide a valuable resource for neuroscience research.
CONDITIONS
Brief Title
Understanding Motor Function in Stroke Patients and Their Functional Brain Reorganization Using Ultra High-field MRI
Research Team
W
Wissam ZAMOUN, ARC
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