Definition
Predictive processing models describe the brain as an active forecaster that constantly predicts sensory input and updates itself when predictions are wrong. Pain is one of the outputs the brain constructs from these predictions.
Why it matters
Predictive processing gives a coherent scientific framework for otherwise puzzling phenomena: phantom limb pain, chronic pain without ongoing damage, placebo, nocebo, and central sensitization.
The Science
In predictive processing accounts (Clark, Friston, Seth, Barrett), pain arises when the brain predicts that the body is or will be endangered. Phantom limb pain is a paradigmatic case: the brain still predicts the limb’s sensations even after amputation. Mirror therapy works, in part, by supplying visual input that contradicts the pain-generating prediction, allowing the model to update.
The NSI Perspective
NSI treats predictive processing as one of the master frameworks connecting attachment, memory, emotion, and pain. All four are shaped by prediction — and all four can be updated by new experience.
Clinical Implications
Care built around updating predictions — through education, safe experiences, movement, imagery, and mirrors — is aligned with the underlying neuroscience.
Practical Application
Every safe, unexpected experience that contradicts a prediction of harm is a small dose of medicine for the predicting brain.
References
- 1.Büchel C, Geuter S, Sprenger C, Eippert F. Placebo analgesia: a predictive coding perspective. Neuron. 2014;81(6):1223–1239.
- 2.Ongaro G, Kaptchuk TJ. Symptom perception, placebo effects, and the Bayesian brain. Pain. 2019;160(1):1–4.