TRACER (in the making) / Axis 3 : Wearable neurotechnologies to predict and modulate neurological recovery

In close collaboration with Professor Frederic Dehais (ISAE-SUPAERO), the work carried out in this area envisages the use of innovative AI techniques and decoding of brain activity in real time, at the bedside of brain-injured patients in the acute phase of their treatment, in order to: (i) characterize in a multiparametric and non-behavioral manner the level of integration of information, making it possible to identify states of cognitive-motor dissociation 24 hours a day; (ii) predict early and robustly the potential for neurological recovery; (iii) restore the uni- and bi-directional communication abilities of patients with cognitive-motor dissociation using personalized brain-machine interfaces. Advanced X-AI analyzes on annotated multimodal data (EEG, EMG, 3D accelerometry, 0.064T MRI) will be performed. All data in FAIR format will be openly available via EBRAINS. This prototype digital solution will allow interactive visualization of data and models, thus promoting transfer to anesthesia and other neurological pathologies.