Neurological disorders such as epilepsy and chronic pain affect more than 3 billion people worldwide
Researchers at the University of Cambridge have developed a small, flexible device that combines electronics and soft robotics to help treat a variety of neurological conditions, including epilepsy and chronic pain.
was announced on Natural materialsnerve cuff implants have the ability to change shape through electrical activation, opening up a variety of new highly targeted treatment options.
Neurological disorders, which affect more than 3 billion people worldwide, are conditions that affect not only the brain but also nerves found throughout the human body and spinal cord.
According to the University of Cambridge, current tools for connecting peripheral nerves are outdated, bulky and pose a high risk of nerve damage.
“Nerves are small and very delicate, so any time you put something large like an electrode in contact with them, you’re putting them at risk,” explains George Mariaras, professor of engineering at the University of Cambridge.
A new robotic nerve “cuff” used to stimulate or block signals in targeted nerves can grab or wrap delicate nerve fibers without causing damage, as an alternative for minimally invasive monitoring and treatment. It has enough sensitivity to
The ultra-thin cuff, made from conductive polymers commonly used in soft robotics, consists of two separate layers that allow the device to expand or contract around nerves by applying a small amount of electricity. , monitor neural activity or change.
Tested in rats, the nerve cuff requires only a small voltage to change shape in a controlled manner and creates a self-closing loop around the nerve without the need for surgical sutures or glue. formed.
“This means that surgeons can adjust how tightly the device fits around the nerve until they achieve the best results in recording and stimulating the nerve,” said Damiano from the Department of Clinical Neuroscience at the University of Cambridge.・Dr. Barone said.
The researchers aim to further test the device using animal models and hope to begin human testing within the next few years.
