Brain-Computer-Spinal Interface Restores Upper Limb Function After Spinal Cord Injury

Brain-computer interfaces (BCIs) are an emerging strategy for spinal cord injury (SCI) intervention that may be used to reanimate paralyzed limbs. This approach requires decoding movement intention from the brain control movement-evoking stimulation. Common methods use spike-sorting and require frequent calibration high computational complexity. Furthermore, most applications of closed-loop stimulation act on peripheral nerves or muscles, resulting in rapid muscle fatigue. Here we show a local field potential-based BCI can improve forelimb function rats with cervical SCI. We decoded via multi-channel potentials sensorimotor cortex using canonical correlation analysis algorithm. then this signal trigger epidural restore movement. Finally, implemented algorithm miniaturized onboard computing platform. Brain-Computer-Spinal Interface (BCSI) utilized recording approaches already separate human applications. Our goal was demonstrate potential neuroprosthetic after upper extremity paralysis.