Bigoni, ClaudiaBeanato, ElenaHarquel, SylvainHerve, JulieOflar, MeltemCrema, AndreaEspinosa, ArnauEvangelista, Giorgia G.Koch, PhilippBonvin, ChristopheTurlan, Jean-LucGuggisberg, AdrianMorishita, TakuyaWessel, Maximilian J.Zandvliet, Sarah B.Hummel, Friedhelm C.2023-10-232023-10-232023-10-232023-09-0810.1016/j.medj.2023.06.006https://infoscience.epfl.ch/handle/20.500.14299/201844WOS:001074159600001Background: Around 25% of patients who have had a stroke suffer from severe upper-limb impairment and lack effective rehabilitation strategies. The AVANCER proof-of-concept clinical trial (NCT04448483) tackles this issue through an intensive and personalized-dosage cumulative inter-vention that combines multiple non-invasive neurotechnologies. Methods: The therapy consists of two sequential interventions, lasting until the patient shows no further motor improvement, for a minimum of 11 sessions each. The first phase involves a brain-computer interface governing an exoskeleton and multi-channel functional electrical stim-ulation enabling full upper-limb movements. The second phase adds anodal transcranial direct current stimulation of the motor cortex of the lesioned hemisphere. Clinical, electrophysiological, and neuroi-maging examinations are performed before, between, and after the two interventions (T0, T1, and T2). This case report presents the results from the first patient of the study. Findings: The primary outcome (i.e., 4-point improvement in the Fugl-Meyer assessment of the upper extremity) was met in the first patient, with an increase from 6 to 11 points between T0 and T2. This improvement was paralleled by changes in motor-network structure and function. Resting-state and transcranial magnetic stimulation -evoked electroencephalography revealed brain functional changes, and magnetic resonance imaging (MRI) measures detected structural and task-related functional changes. Conclusions: These first results are promising, pointing to feasibility, safety, and potential efficacy of this personalized approach acting syn-ergistically on the nervous and musculoskeletal systems. Integrating multi-modal data may provide valuable insights into underlying mech-anisms driving the improvements and providing predictive information regarding treatment response and outcomes.Medicine, Research & ExperimentalResearch & Experimental Medicinecorticospinal tractmotor recoverybrainreliabilityneurorehabilitationstimulationcortexscaletext::journal::journal article::research article