Sean Mackey, MD, and other pain researchers at Stanford School of Medicine in California hope to use the tool to find brain signatures representing different levels and types of pain.
In the study, researchers imaged brain activity of eight people whose skin was periodically exposed to painful heat. A support vector machine, using an algorithm capable of learning and adapting, then analyzed the data for common patterns among the subjects.
Related Articles on Chronic Pain:
Chronic Pain Treatments Should Be Evidence-Based
UC San Diego Center Trains Patients’ Brains to Reduce Chronic Pain
Findings on Chronic Pain Gene May Lead to New Drugs
At the Becker’s 32nd Annual Meeting: The Business and Operations of ASCs, taking place October 29-31 in Chicago, ASC leaders, surgeons and healthcare executives will explore strategies to drive growth, enhance operational performance, navigate reimbursement challenges and prepare for the future of ambulatory surgery. Apply for complimentary registration now.