Understanding Motor Function in Stroke Patients and Their Functional Brain Reorganization Using Ultra High-field MRI

NCT ID: NCT07339813

Last Updated: 2026-01-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

110 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-12-10

Study Completion Date

2029-01-31

Brief Summary

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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.

Detailed Description

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Conditions

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Stroke

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

RIPH 2
Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Chronic-Phase Ischemic Stroke Patients and Healthy Volunteer Optimization

Participants undergo task-based and resting-state fMRI sessions. Imaging and clinical data are collected and analyzed using artificial intelligence models.

Group Type OTHER

Functional MRI (fMRI) Acquisition

Intervention Type 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.

Interventions

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Functional MRI (fMRI) Acquisition

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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

Patients

* 1-MRI-confirmed diagnosis of a first ischemic stroke occurring more than 6 months prior to inclusion.
* 2-Persistent upper-limb motor deficit resulting from the stroke.
* 3-Absence of significant cognitive impairment: MMSE score ≥ 27 assessed as part of clinical care.
* 4-Age between 18 and 70 years.
* 5-Validation by the inclusion validation committee.
* 6-Signed informed consent after clear and fair information about the study.

Healthy volunteers:

* 1-Age between 18 and 70 years.
* 2-No history of neurological or psychiatric disease.
* 3-Signed informed consent after clear and fair information about the study.

Exclusion Criteria

Patients:

* 1-Recurrent stroke.
* 2-Severe aphasia or severe speech disorders preventing adequate interaction for the protocol.
* 3-Severe auditory or visual impairment.
* 4-Disorders of comprehension, attention, or neglect affecting understanding of study motor tasks.
* 5-Associated conditions with an estimated life expectancy of less than 2 years.
* 6-History of brain surgery, craniectomy, or cranioplasty.
* 7-Other causes of motor disability.
* 8-Alcohol consumption the day before or on the day of the examination, or use of illicit psychotropic substances within 48 hours prior to MRI.
* 9-Absolute contraindications to MRI, including pregnancy; intracorporeal metallic foreign bodies; pacemakers; non-MRI-compatible neurostimulators; cochlear implants; implanted medical devices (electronic or non-electronic) implanted for less than 6 weeks; metallic heart valves; stents, coils, carotid or neurosurgical clips; implantable ports; infusion pumps; non-removable piercings; tattoos or permanent makeup larger than 5 cm on the head, neck, trunk, or upper limbs; transdermal devices with metallic components; intrauterine devices (except Mirena); dental appliances larger than 4 cm; or health conditions incompatible with MRI comfort and safety (e.g., acute respiratory or cardiac failure, inability to remain supine, bedridden state, claustrophobia).
* 10-Individuals not covered by a social security system.
* 11-Individuals under enhanced protection, including pregnant or breastfeeding women, persons deprived of liberty, legally protected adults, or patients in emergency situations.
* 12-Pregnant or breastfeeding women, or women of childbearing potential refusing a pregnancy test.

Healthy volunteer:

* 1-Absolute contraindications to MRI as listed above.
* 2-Individuals not covered by a social security system.
* 3-Individuals under enhanced protection, including pregnant or breastfeeding women, persons deprived of liberty, legally protected adults, or patients in emergency situations.
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Commissariat A L'energie Atomique

OTHER_GOV

Sponsor Role lead

Responsible Party

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Myriam Edjlali-Goujon

Prof.

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Myriam Edjlali-Goujon, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Commissariat A L'energie Atomique

Locations

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NeuroSpin, CEA

Gif-sur-Yvette, Île-de-France Region, France

Site Status RECRUITING

Countries

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France

Central Contacts

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Wissam ZAMOUN, ARC

Role: CONTACT

+33 01.69.08.74.60

Facility Contacts

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Wissam ZAMOUN

Role: primary

+33 01.69.08.74.60

Other Identifiers

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CEA 100 077

Identifier Type: -

Identifier Source: org_study_id

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