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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
110
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.
NeuroSpin, CEA
Gif-sur-Yvette, Île-de-France Region, France
RECRUITINGPrediction 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.
Time frame: 1 day
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