This analysis reveals significant neural mechanisms behind mental regulation and network integration in tai chi yunshou, indicating a potential for improved cognitive function.
Key Points
The motion state of tai chi yunshou significantly enhances cortical responses and small-world network properties during practice.
Higher values of γ, λ, Cp, and Eloc were recorded in the motion state, outperforming rest and observation states.
Machine learning models, specifically gradient boosting, effectively classified neural features linked to mental regulation in tai chi yunshou.
Cortical responses in the dorsolateral prefrontal cortex indicate improved local brain processing and integrative body-mind harmony during motion.