Using Tai Chi and Qigong to Treat Parkinson’s Disease: Utilizing Artificial Intelligence to Summarize 8 Traditional Chinese Medicine Studies

Research Article

Abstract

Parkinson’s disease is a progressive neurodegenerative disorder in which pharmacologic treatment alone often fails to address the full spectrum of motor and non‑motor symptoms or to halt functional decline. Tai chi and qigong, core modalities within traditional Chinese medicine, combine slow, coordinated movements with breath regulation and meditative focus and have increasingly been investigated as adjunctive therapies for Parkinson’s disease. This paper uses an artificial intelligence assistant to extract and synthesize findings from 8 peer‑reviewed studies, including systematic reviews, meta‑analytic work, randomized controlled trials, and a long‑term cohort study, that have evaluated tai chi‑based or related mind‑body interventions in individuals with Parkinson’s disease. Across these reports, tai chi training was associated with clinically meaningful gains in balance, postural control, gait parameters, and fall reduction, with additional evidence for improvements in motor scores, mood, cognition, sleep, and overall quality of life in early‑stage patients. Mechanistic investigations suggest that these benefits may be mediated through enhanced functional brain connectivity, modulation of inflammatory markers and neurotrophic factors, and favorable shifts in energy metabolism, although sample sizes remain modest and protocols are heterogeneous. Taken together, the AI‑generated summaries indicate that tai chi and related traditional Chinese mind‑body practices warrant consideration as complementary components of multidisciplinary Parkinson’s disease management and justify larger, methodologically rigorous trials with better‑specified interventions and longer follow‑up.