Thomas Deffieux

Centre National de la Recherche Scientifique

Papers

Total Citations

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About

Thomas Deffieux is a pioneering researcher at the forefront of neuroimaging and brain-machine interfaces (BMIs), with a primary focus on functional ultrasound (fUS) technology. His major contributions center on developing closed-loop ultrasonic BMIs that decode motor plans directly from brain activity, offering a compelling alternative to traditional invasive or low-resolution neural interfaces. Deffieux’s landmark 2023 paper, “Decoding motor plans using a closed-loop ultrasonic brain–machine interface,” has already garnered 51 citations, highlighting its immediate impact in the field. This work demonstrates how fUS neuroimaging can overcome critical trade-offs in BMI design—balancing invasiveness, performance, spatial coverage, and spatiotemporal resolution—to enable real-time control of computers and robotic devices through thought alone. His 2022 precursor paper further established the foundational principles of this approach. Deffieux’s research is notable for its potential to transform the lives of individuals with chronic paralysis or neurological injury, offering a less invasive yet highly effective pathway to restoring communication and motor function. His achievements position him as a key innovator in the next generation of neural engineering.