Do you know: Researchers reveal a new approach to predict pain sensitivity
in 2025
In an international effort, researchers at the University of Western, the University of Maryland Dental School (UMSOD) and Australian Research Neuroscience (NERA) revealed how specific patterns in brain activity can predict human sensitivity to pain, expanding opportunities for strategies Improved pain management.
The new study was published January 27 in Jama Neurology. He found that there were two biomass in the brain – Corticomotor excitability (CME), excitability in the brain region that controls movement, and peak alpha frequency (PAF), a nervous marker associated with cognitive performance – accurately and reliably distinguished make people who are sensitive high pain and low pain during long pain.
“The burden of chronic pain is huge. Objective bio -signals would greatly help decision -making in diagnosis, prevention and treatment of chronic pain,” said Senior Author and School Medical & Dental Schulich, Professor David Seminowicz , who started this study while doing the study as he went to the study while he was professor of Umsod.
For people suffering from long or chronic pain, this means that they could more effectively treat them according to their pain sensitivity level.
According to recent data from the global study of disease study, about 1.7 billion people around the world live with musculoskeletal conditions, which usually have persistent pain, including pain in muscles, bones, joints, ligaments and tendons. Living with long pain can be deprived and influence a person’s ability to work or socialize. At present, there is a lack of effective treatments for chronic pain and gap to understand the transition from sharp pain to chronic pain.
“For the first time there is something similar that it could lead to pain to people,” said Siobhan Schabrun, co-author and professor in the Western physical therapy school.
The researchers specifically looked at the pain of the jaw that has been attributed to problems with the components or muscles in the jaw, also known as temporomandibular disorders.
The study involved 150 participants in Australia, aged between 18 and 44 years. PAF, the Brain Biomarker related to cognitive performance, was measured using electromagnetic recording (EEG), which records electrical activity in the brain using electrodes. CME, the bio -signals of accessibility, was measured by transgressed magnetic stimulation, where nervous cells are encouraged in the brain using magnetic fields.
This research was a collaborative effort between Nahian Chowdhury, a research member of Neura, who led the data collection; Statistical staff led a postdoctoral member of Maryland Bi Chuan and Professor Shuo Chen; and UMSOD’s main site investigator, Assistant Professor Joyce Teixeira da Silva.
Slow PAF and low CME show higher pain sensitivity
“Our results suggest that people who have a slow PAF before a long pain program and have reduced CME shortly after the long pain incident is more likely to get days or higher pain weeks.” Seminowicz was explained.
Additional results from complementary studies show that it was more likely that people with low CME levels develop during acute stages of low pain pain after six months.
The new research also shows the PAF and CME potential to measure in pre-operative and post-injuries to see if a patient has a high-pain or low pain sensitivity.
Based on previous literature has gained higher acute pain the development of chronic pain can be predicted, the researchers recommend that these bio -signals, PAF and CME, could be used to develop a likelihood of chronic pain after experienced with sharp pain.
‘Great Jump on face’
“This study shows a major part in the field of pain science. Lynne Gray research chair in mobility and activity by St. Joseph’s London Health Care.
With the support of the high accuracy rates, in -reproducence and reliability of their studies, the researchers are now working to validate the bio -custodian in clinical populations to explore clinical transition, including the transition from chronic clinical pain prediction.
“This would enable us to focus on treatments towards people with sharp -phean who are likely to be translated into chronic pain,” Schabrun said. “If these brain bio -signals can predict that it will happen in the future, we hope that we will be able to interfere with the transition to chronic pain to provide better patient results.”