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Thesis
Home   /   Thesis   /   Characterization of motor recovery in stroke patients during a BCI-guided rehabilitation

Characterization of motor recovery in stroke patients during a BCI-guided rehabilitation

Engineering sciences Health and environment technologies, medical devices Mathematics - Numerical analysis - Simulation Technological challenges

Abstract

This thesis will explore the use of implanted brain-computer interfaces (BCIs) for motor rehabilitation in stroke patients. The project leverages Clinatec's WIMAGINE technology, which measures brain activity through electrocorticography (ECoG) to accurately decode patients' motor intentions. Integrating this technology into a rehabilitation protocol is expected to enhance residual motor abilities through neural plasticity. In this context, the thesis aims to implement the rehabilitation protocol with Clinatec's technical and clinical teams and to characterize motor recovery in patients during training sessions, both behaviorally and neurally. The study will include a review of current BCI-assisted rehabilitation approaches, the development of tools to monitor motor progress and measure neural plasticity indicators, as well as the optimization of rehabilitation sessions based on patients' motor performance. Motor and neural progression will be studied longitudinally over nine months, with an extended two-year follow-up to assess the durability of the benefits. Supported by the French Ministry of Research and the EU, this project offers a unique opportunity to establish the foundations of a new post-stroke rehabilitation paradigm using implanted BCIs.

Laboratory

Département des Technologies pour l'Innovation en Santé (LETI)
Service de Recherche de Biomédicales en Neurotechnologie
Laboratoire de Conception et Dévelopement des Dispositifs Médicaux
Université Grenoble Alpes
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