Episode 66: Can You Rewire Pain? (Recovery, Hope, and What’s Possible)
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Summary
In Episode 66, Michelle explores whether pain can actually change after knee replacement and what that means for recovery. She explains neuroplasticity in simple terms and how the nervous system can adapt over time. Listeners will learn how expectations, consistency, and experience shape pain, and what signs to look for as progress begins. This episode closes the pain series with a grounded, hopeful perspective.
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Medical Disclaimer: This podcast is for educational purposes only and does not constitute medical advice. The content is not intended to replace individualized medical guidance, diagnosis, or treatment. Always consult your surgeon, physical therapist, or other qualified healthcare provider regarding your specific condition, surgical decisions, and rehabilitation plan.
Amazon Affiliate Disclaimer: Some resources mentioned in this podcast may include Amazon affiliate links. If you choose to purchase through these links, the podcast may earn a small commission at no additional cost to you.
Evidence-Based Content Statement: All information presented in this episode is grounded in peer-reviewed research, published clinical guidelines, and current best practices in orthopedic surgery and rehabilitation.
Music Licensing Statement: Intro and outro music for the Total Knee Success Podcast is licensed for commercial use. Editing and production for this episode were completed using Descript.
References:
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Kosek E, Cohen M, Baron R, et al. Do we need a third mechanistic descriptor for chronic pain states? Pain. 2016;157(7):1382-1386.
Colloca L, Barsky AJ. Placebo and nocebo effects. N Engl J Med. 2020;382(6):554-561.
Watson JA, Ryan CG, Cooper L, et al. Pain neuroscience education for adults with chronic musculoskeletal pain: a mixed-methods systematic review and meta-analysis. J Pain. 2019;20(10):1140-1159.
Louw A, Zimney K, Puentedura EJ, Diener I. The efficacy of pain neuroscience education on musculoskeletal pain: a systematic review and meta-analysis. Phys Ther. 2016;96(5):730-740.