Cortical Contribution during Active and Passive Pedaling: A Preliminary Study

Abstract

Recognizing neuro-motor control process of human locomotion is challenging and the progress was limited due to the complex dynamic control progress and the motion artifacts. We applied Adaptive Mixture Independent Component Analysis (AMICA) to explore the voluntary cortical contribution during pedaling process and compared the difference between active and passive pedaling in this preliminary study. We explored the power spectral density, source localization, and event-related spectral perturbations of selected independent components (ICs). The results demonstrated typical IC clusters during pedaling, and various cortical regions contribute differently to the locomotion control process. The active and passive pedaling showed different activation pattern in the cortex, but no significant difference was found, further study is still necessary to confirm the cortical contribution difference for different pedaling conditions.