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The MOTIF-STROKE study is embedded within the BrainSync project, aiming to develop innovative strategies for motor rehabilitation of the upper limb. The primary goal is to construct a high-resolution anatomo-functional disconnection atlas in a cohort of 100 stroke patients, using cutting-edge 3T and 7T MRI. Data acquisition, commencing in Fall 2025, will combine morphological (T1-weighted), functional and diffusion-weighted MRI scans to perform morphometry, functional and structural connectivity analyses with biomarkers of motor deficits. This atlas seeks to correlate connectivity with motor tasks, using dedicated task-related fMRI paradigms and digital consultation tools. The project utilizes machine learning algorithms and functional hyper-alignment to analyze fMRI data, focusing on input features and their impact on prediction accuracy. The ultimate objective is to optimize implantation of WIMAGINE neuroprostheses for the subsequent BCI4STROKE clinical trial. Expected results include identifying clinical subgroups responsive to motor intention decoding, characterizing phenotypes of functional reorganization, and making the 3D brain atlas accessible to the neuroscience community.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Chronic-Phase Ischemic Stroke Patients and Healthy Volunteer Optimization | Other | Participants undergo task-based and resting-state fMRI sessions. Imaging and clinical data are collected and analyzed using artificial intelligence models. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Functional MRI (fMRI) Acquisition | Other | Participants undergo task-based and resting-state fMRI sessions, including motor imagery and motor execution tasks. Brain activity and clinical data are collected for analysis. |
| Measure | Description | Time Frame |
|---|---|---|
| Prediction accuracy of AI models for individual motor action intention | Validation of AI model predictions based on post-processing of functional MRI signals will be performed by comparing them with observed clinical performance during intentional motor tasks. These include assessment of movement intention of the hand and foot, intended movement direction, pathological side, and healthy side. | 1 day |
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Inclusion Criteria:
Patients
Healthy volunteers:
Exclusion Criteria:
Patients:
Healthy volunteer:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Wissam ZAMOUN, ARC | Contact | +33 01.69.08.74.60 | wissam.zamoum@cea.fr |
| Name | Affiliation | Role |
|---|---|---|
| Myriam Edjlali-Goujon, MD, PhD | Commissariat A L'energie Atomique | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| NeuroSpin, CEA | Recruiting | Gif-sur-Yvette | Île-de-France Region | 91191 | France |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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RIPH 2
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| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |