Limb reanimation through neuroscience and machine learning

From First paralysed person to be ‘reanimated’ offers neuroscience insights : Nature

A quadriplegic man who has become the first person to be implanted with technology that sends signals from the brain to muscles — allowing him to regain some movement in his right arm hand and wrist — is providing novel insights about how the brain reacts to injury.

Two years ago, 24-year-old Ian Burkhart from Dublin, Ohio, had a microchip implanted in his brain, which facilitates the ‘reanimation’ of his right hand, wrist and fingers when he is wired up to equipment in the laboratory.


Bouton and his colleagues took fMRI (functional magnetic resonance imaging) scans of Burkhart’s brain while he tried to mirror videos of hand movements. This identified a precise area of the motor cortex — the area of the brain that controls movement — linked to these movements. Surgery was then performed to implant a flexible chip that detects the pattern of electrical activity arising when Burkhart thinks about moving his hand, and relays it through a cable to a computer. Machine-learning algorithms then translate the signal into electrical messages, which are transmitted to a flexible sleeve that wraps around Burkhart’s right forearm and stimulates his muscles.

Burkhart is currently able to make isolated finger movements and perform six different wrist and hand motions, enabling him to, among other things, pick up a glass of water, and even play a guitar-based video game.

This story is one year and a half old, but I just found out about it and I think it’s a critical piece of the big picture that H+ is trying to narrate.