This study aims to investigate the predictive value of lower limb muscle strength and explosive power on exercise-induced prefrontal hemodynamic responses. Using an interpretable machine learning framework (GCAT-Net), the research analyzes how various physical performance indicators-such as isokinetic muscle strength, 1RM leg press, and vertical jump metrics-can predict oxygenated hemoglobin (ΔHbO) changes in the bilateral dorsolateral prefrontal cortex (DLPFC) during moderate-intensity cycling.
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Area Under the Curve of Oxygenated Hemoglobin (Δ HbO AUC) during Aerobic Exercise
Timeframe: Measured during the 6-minute constant-load cycling task (60%VO_2max), which occurs approximately 120 minutes after the start of the experimental session.