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Brain-movement relationship in upper-limb functional tasks for chronic post-stroke patients

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Muller, Camille, O | Faity, Germain | Muthalib, Makii | Perrey, S. | Dray, Gérard | Xu, Binbin | Delorme, Marion | Mottet, Denis | Laffont, Isabelle | Froger, Jérôme | Bakhti, Karima

Edité par CCSD -

International audience. Background and aims. After a stroke, brain activation reorganization, movement compensatory strategies and their evolution through rehabilitation is a subject of major interest. Two non-invasive neuroimaging methods allow for recording the task-related brain activation: functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) respectively based on hemodynamic response electrical activity. Their simultaneous use could allow a better spatiotemporal mapping of the brain activity and associated to kinematics assessments during movement it could unveil underlying mechanisms of functional upper limb (UL) recovery. This project aims to depict activation’s patterns of the motor cortices using combined fNIRS-EEG and their association with the motor performance and strategies during UL functional tasks in chronic post-stroke patients. Methods. Twenty-one healthy old adults and 21 post-stroke patients were recruited and realized two standardized functional tasks of the UL: a paced-reaching task where they have to reach a target in front of them and a circular steering task where they have to displace, as fast as possible, a mouse inside a circular target projected on a screen. Simultaneously, activation of the motor cortices is recorded using fNIRS-EEG. Results. Kinematics analyses showed a decreased performances in the circular steering task and an increased use of trunk compensation in post-stroke patients in both tasks. Brain analyses, showed over-activation on the reaching task for patients with paretic arm, associated to an increased use of trunk and a higher impairment (clinical score). Conclusions. With this project we provided information about post-stroke brain/ movement compensations and adaptations. This work opens up the possibility of using such method to better understand brain-movement evolution through stroke rehabilitation.

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