Pain perception can vary greatly. Sometimes, we feel pain more intensely than expected due to an injury or physical ailment but may feel less intense pain at other similar instances. This variability indicates that our perception of pain is highly dependent on our expectations and uncertainty.

Two hypotheses have been proposed to explain how the brain perceives pain. One is the Estimate Hypothesis, where the brain estimates the intensity of pain based on predictions. The other is the Surprise Hypothesis, where the brain perceives pain as the difference between prediction and reality, otherwise known as the prediction error. In this study, the mechanism underlying the perception of pain were investigated. In the experiment, healthy participants received painful thermal stimuli and reported felt pain intensity while observing painful or non-painful visual stimuli in the virtual reality. The researchers found that the participants strongly perceived pain when the prediction error was large, demonstrating that the Surprise Hypothesis more adequately explains the pain perception mechanism in the brain. The study further confirmed that pain was amplified when unexpected events occurred.

People with chronic pain often experience vague pain-related fears and anxieties. Possibly, this uncertain gap between expectation and reality further increases the perceived intensity of pain. Therefore, reducing the gap between pain expectation and reality or “surprise” is important in reducing pain. A better understanding of pain perception would facilitate the development of new treatments that would enhance recovery from chronic pain and trauma.

This work was supported by JSPS KAKENHI (grant numbers 19H05729 and 23KJ0261).



Source link

Leave a Reply

Your email address will not be published. Required fields are marked *

Explore More

New study identifies connection between diabetes medications, multiple sclerosis

A new University of Arizona Health Sciences study found that people older than 45 whose Type 2 diabetes was treated with anti-hyperglycemic medications had an increased risk of multiple sclerosis,

New tools map seizures, improve epilepsy treatment

Two new models could solve a problem that’s long frustrated millions of people with epilepsy and the doctors who treat them: how to find precisely where seizures originate to treat

Drug to slow Alzheimer’s well tolerated outside of clinical trial setting

The Food and Drug Administration’s approval in 2023 of lecanemab — a novel Alzheimer’s therapy shown in clinical trials to modestly slow disease progression — was met with enthusiasm by