Marie-Christine Fluet

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About

Marie-Christine Fluet is a leading researcher in neurorehabilitation engineering, specializing in brain-computer interfaces (BCIs), robotic-assisted motor training, and autonomic nervous system responses for motor recovery. Her work focuses on developing innovative technologies to restore upper limb function in patients with neurological conditions such as stroke and hereditary ataxias. Fluet’s major contributions include pioneering the Virtual Peg Insertion Test, a validated assessment tool for upper limb coordination in Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay (ARSACS) patients, which has garnered 31 citations. She also advanced triggered assistance robotic strategies, demonstrating that detecting motor intention via autonomic signals can enhance motor plasticity in neurologic patients. Her 2012 study on motor execution detection based on autonomic nervous system responses (16 citations) and her 2011 work on a brain-body-robot interface combining fNIRS and biosignal recordings (13 citations) laid groundwork for closed-loop sensorimotor training in stroke rehabilitation. Fluet’s interdisciplinary approach—integrating neural, physiological, and robotic systems—has positioned her as a key figure in translating BCI technology into clinical practice, with her research directly informing the design of patient-initiated therapy protocols that maximize neuroplasticity.