Most Advanced Artificial Touch for Brain-Controlled Bionic Hand

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves the way for complex touch sensation through brain stimulation, whilst using an extracorporeal bionic limb, that is attached to a chair or wheelchair.

The researchers, who are all part of the US-based Cortical Bionics Research Group, have discovered a unique method for encoding natural touch sensations of the hand via specific microstimulation patterns in implantable electrodes in the brain. This allows individuals with spinal cord injuries not only to control a bionic arm with their brain, but also to feel tactile edges, shapes, curvatures and movements, that until now have not been possible.

"In this work, for the first time the research went beyond anything that has been done before in the field of brain-computer interfaces (BCI) - we conveyed tactile sensations related to orientation, curvature, motion and 3D shapes for a participant using a brain-controlled bionic limb. We are in another level of artificial touch now. We think this richness is crucial for achieving the level of dexterity, manipulation, and a highly dimensional tactile experience typical of the human hand,” says Giacomo Valle, lead author of the study and Assistant Professor at Chalmers University of Technology, in Sweden.

A sense of touch builds richness and independence in our everyday lives. For individuals living with a spinal cord injury, the electrical signals coming from the hand to the brain that should allow an individual to feel tactile sensations, are being blocked by the injury and that sense of touch is lost. A bionic limb controlled by user’s brain signals can bring back some functionality and independence to someone with a paralysed hand, but without the sense of touch, it is very difficult to lift, hold and manipulate objects. Previously, a bionic hand would not be perceived by the user as part of the body, since it would not provide any sensory feedback like a biological hand. This study aimed to improve the usability of an extracorporeal bionic limb, which would be mounted on a wheelchair or similar equipment close by to the user.

For the study, two BCI participants were fitted with chronic brain implants in the sensory and motor regions of the brain that represent the arm and hand. Over the course of several years, the researchers were able to record and decode all of the different patterns of electrical activity that occurred in the brain related to motor intention of the arm and hand. This was possible, since the electrical activity was still present in the brain, but the paralysis was blocking this from reaching the hand. Decoding and deciphering brain signals with this technology is unique and allows the participants to directly control a bionic arm and hand with the brain for interacting with the environment.

The participants were able to accomplish a series of complex experiments, that require rich tactile sensations. To do this, the researchers typed specific stimulations directly into the users' brain via the implants.

"We found a way to type these 'tactile messages' via microstimulation using the tiny electrodes in the brain and we found a unique way to encode complex sensations. This allowed for more vivid sensory feedback and experience while using a bionic hand," says Valle.

The participants could feel the edge of an object, as well as the direction of motion along the fingertips.

By utilising the Brain Computer Interface, the researchers could decode the intention of motion from the participant’s brain in order to control a bionic arm. Since the bionic arm has sensors on it, when an object comes into contact with these sensors, the stimulation is sent to the brain and the participant feels the sensation as if it were in their hand. This means that the participants could potentially complete complex tasks with a bionic arm with more accuracy than was previously possible, like picking up an object and moving it from one location to another.

This research is just the first step towards patients with spinal cord injuries being able to feel this level of complex touch. To capture all the features of complex touch that the researchers are now able to encode and convey to the user, more complex sensors and robotic technology is needed (for example prosthetic skin). The implantable technology used to stimulate, would also require development, to increase the repertoire of sensation.

Valle G, Alamri AH, Downey JE, Lienkämper R, Jordan PM, Sobinov AR, Endsley LJ, Prasad D, Boninger ML, Collinger JL, Warnke PC, Hatsopoulos NG, Miller LE, Gaunt RA, Greenspon CM, Bensmaia SJ.
Tactile edges and motion via patterned microstimulation of the human somatosensory cortex.
Science. 2025 Jan 17;387(6731):315-322. doi: 10.1126/science.adq5978

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...

New Computer Models Open Door to Far Mor…

With antibiotic resistance a growing problem, University of Virginia School of Medicine researchers have developed cutting-edge computer models that could give the disease-fighting drugs a laser-like precision to target only...

New Biomarkers to Detect Colorectal Canc…

Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped University of Birmingham researchers to discover proteins that have strong predictive potential for colorectal cancer. In a...

Sam Neville Joins the Highland Marketing…

Leading chief nursing information officer Sam Neville is joining the Highland Marketing advisory board. Sam brings a passion for nursing and safety to the board, which debates the big issues...

AI Model Identifies Potential Risk Genes…

Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson's disease. Researchers identified genetic factors in progression and FDA-approved drugs that can...

AI Tool that may Assist Underserved Hosp…

As the fields of healthcare and technology increasingly evolve and intersect, researchers are collaborating on the best ways to use emerging technologies such as artificial intelligence (AI) to care for...