Researchers in Japan and Cambridge have developed a new neurofeedback strategy that might help to treat patients who suffer from chronic pain in the future. They have shown that they can use neurofeedback to boost the brain’s natural ability to control pain, in a simple procedure in which people lie in a brain scanner and have their brain activity decoded using AI techniques.
Chronic pain is one of the most important health priorities of the 21st century, with a socioeconomic cost that may far exceed other most other medical problems. It is the leading reason why people stop working prematurely, and a leading cause of loss of independence in the elderly leading to requirements for care. And the magnitude of the problem continues to increase as society ages. The lack of effective drugs for pain has led to an urgency to develop new treatments, with technology-based approaches being an potentially important avenue for innovation.
A new approach to treating a range of neurological and psychiatric treatments is Decoded Neurofeedback (DecNef), in which patients aim to control how information is encoded in their brain using neurofeedback of their brain activity measured using functional neuroimaging. The AMED Nou-Pro project has been exploring applications of DecNef to several conditions, and here we report a preliminary study into the feasibility of using DecNef to control pain.
The study, published in the forthcoming issue of Current Biology, is a preclinical study that aimed to see if pain is potentially controllable by DecNef. We designed a new type of DecNef paradigm, in which volunteers had to try and make the pain ‘clearer’ in their mind, to help a computer read how much pain they were in by studying their brain activity. If the computer could read their pain well, it could work out how to give them less pain later in the experiment.
Source: Read Full Article