Lower Limb Strength and Power as Predictors of Brain Blood Flow During Exercise

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.

NCT Number	NCT07575802
Lead Sponsor	Lincoln University College Collaborators: Wuhan University of Technology
Conditions	Prefrontal Hemodynamics, Muscle Strength, Physical Performance
Enrollment	256 participants
Start Date	2025-03-01
Primary Completion	2025-03-15 (estimated)
Study Completion	2025-03-15 (estimated)
Updated on ClinicalTrials.gov	2026-05-08