Combating the “Multi-Dimensional Beast” of Chronic Pain

Chronic pain, according to a 2023 study, affects more Americans than diabetes, depression, and hypertension. Yet the disease is poorly understood, often undiagnosed or misdiagnosed, and effective treatments are in short supply.

A recent study in Nature Neuroscience provides new insights into how the disease affects the nervous system. For the first time, researchers recorded data from inside the brains of individuals who were suffering from chronic pain and found distinct biomarkers for the disease. These insights are an important first step toward better diagnosing and treating chronic pain.

In this episode, the lead author of that study, Prasad Shirvalkar, a neurologist and interventional pain medicine specialist at the University of California, San Francisco, talks with managing editor Jason Lloyd about his research and how it could transform physicians’ understanding and treatment of what Shirvalkar calls a “multi-dimensional beast.”

Resources

·     Read the article: Prasad Shirvalkar, Jordan Prosky, Gregory Chin, Parima Ahmadipour, Omid G. Sani, Maansi Desai, Ashlyn Schmitgen, Heather Dawes, Maryam M. Shanechi, Philip A. Starr, and Edward F. Chang, “First-in-human prediction of chronic pain state using intracranial neural biomarkers,” Nature Neuroscience 26 (2023): 1090–1099.

·     Prasad Shirvalkar leads the Shirvalkar Pain Neuromodulation Lab at the University of California San Francisco.

·     More about Shirvalkar’s research in the New York Times: “Scientists Find Brain Signals of Chronic Pain.”

Transcript

Coming soon!