Fourth Industrial Revolution

Brain-controlled exoskeleton helps paralyzed man walk again

A patient with tetraplegia walks using an exoskeleton in Grenoble, France. Image: University of Grenoble

Kate Kelland
Correspondent, Reuters

A man paralyzed from the shoulders down has been able to walk using a pioneering four-limb robotic system, or exoskeleton, that is commanded and controlled by signals from his brain.

Loading...

With a ceiling-mounted harness for balance, the 28-year-old tetraplegic patient used a system of sensors implanted near his brain to send messages to move all four of his paralyzed limbs after a two-year-long trial of the whole-body exoskeleton.

The results, published in The Lancet Neurology journal on Thursday, bring doctors a step closer to one day being able to help paralyzed patients drive computers using brain signals alone, according to researchers who led the work.

But for now the exoskeleton is purely an experimental prototype and is “far from clinical application”, they added.

“(This) is the first semi-invasive wireless brain-computer system designed... to activate all four limbs,” said Alim-Louis Benabid, a neurosurgeon and professor at the University of Grenoble, France, who co-led the trial.

A patient with tetraplegia walks using an exoskeleton in Grenoble, France.

He said previous brain-computer technologies have used invasive sensors implanted in the brain, where they can be more dangerous and often stop working. Previous versions have also been connected to wires, he said, or have been limited to creating movement in just one limb.

In this trial, two recording devices were implanted, one either side of the patient’s head between the brain and the skin, spanning the sensorimotor cortex region of the brain that controls sensation and motor function.

Have you read?

Each recorder contained 64 electrodes which collected brain signals and transmitted them to a decoding algorithm. The system translated the brain signals into the movements the patient thought about, and sent his commands to the exoskeleton.

Over 24 months, the patient carried out various mental tasks to train the algorithm to understand his thoughts and to progressively increase the number of movements he could make.

Commenting on the results, Tom Shakespeare, a professor at the London School of Hygiene and Tropical Medicine, said it was “a welcome and exciting advance” but added: “Proof of concept is a long way from usable clinical possibility.”

“A danger of hype always exists in this field. Even if ever workable, cost constraints mean that high-tech options are never going to be available to most people in the world with spinal cord injury.”

Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Stay up to date:

Neuroscience

Related topics:
Fourth Industrial RevolutionEmerging Technologies
Share:
The Big Picture
Explore and monitor how Neuroscience is affecting economies, industries and global issues
World Economic Forum logo

Forum Stories newsletter

Bringing you weekly curated insights and analysis on the global issues that matter.

Subscribe today

Scaling AI without breaking the grid: The path to sustainable innovation

Rodrigo Liang

January 3, 2025

How AI can unlock new possibilities for global productivity and sustainability

About us

Engage with us

  • Sign in
  • Partner with us
  • Become a member
  • Sign up for our press releases
  • Subscribe to our newsletters
  • Contact us

Quick links

Language editions

Privacy Policy & Terms of Service

Sitemap

© 2025 World Economic Forum