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A brain-computer interface, surgically placed in a research participant with tetraplegia, paralysis in all four limbs, provided an unprecedented level of control over a virtual quadcopter—just by thinking about moving his unresponsive fingers

A brain-computer interface, surgically placed in a research participant with tetraplegia, paralysis in all four limbs, provided an unprecedented level of control over a virtual quadcopter—just by thinking about moving his unresponsive fingers.

A brain-computer interface, surgically placed in a research participant with tetraplegia, paralysis in all four limbs, provided an unprecedented level of control over a virtual quadcopter—just by thinking about moving his unresponsive fingers. Image credit: Nature MedicineThe research, conducted as part of the BrainGate2 clinical trials, focused on how these neural signals could be coupled with machine learning to provide new options for external device control for people with neurological injuries or disease. Co-author Nishal Shah, incoming professor of electrical and computer engineering at Rice University, explained, “controlling fingers is a stepping stone; the ultimate goal is whole body movement restoration.”

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