Brain-Computer Interface Enables Paralyzed Man to Control Robotic Arm with Thoughts, Offering New Hope for Motor Function Restoration

San Francisco: A brain-computer interface (BCI) recorded EEG signals from the sensorimotor cortex, enabling a quadriplegic patient to perform simple movements with a robotic arm in an experimental study. * The BCI decodes neural activity related to intended movements. * A 41-year-old man, paralyzed after a brainstem stroke, controlled the robotic arm with his thoughts. * The robotic arm opened a cabinet, grasped a cup, and moved it towards a water dispenser. * This technology offers potential for restoring motor function in paralyzed individuals.