Human Motor Control
Undergraduate/graduate course covering the neural mechanisms of human motor control: sensorimotor loops, predictive force control, motor learning, and disorders.
Neuroimaging
Principles and Data Analysis of fMRI
Graduate course on fMRI: from MRI physics and BOLD signal to experimental design, preprocessing, GLM analysis, MVPA, and reproducibility best practices.
ACL@NCU Lab Wiki — Software & Analysis Resources
The ACL@NCU Lab Wiki is a community resource for neuroimaging researchers, with guides for: Neuroimaging Software PyMVPA installation (Ubuntu) FSL and SPM setup guides OSX configuration for neuroimaging tools Programming & Analysis Programming guides — Python, MATLAB, R for neuroimaging Preprocessing pipeline documentation MVPA and RSA analysis walkthroughs GitHub audachang on GitHub — recommender system code and analysis scripts
Structural Differences in Basal Ganglia of Elite Running Versus Martial Arts Athletes: A Diffusion Tensor Imaging Study
Using diffusion tensor imaging (DTI), we reveal sport-specific structural differences in basal ganglia white matter pathways between elite endurance runners and open-skill martial arts athletes, suggesting that different types of motor expertise shape subcortical brain structure differently.
Dissociable Neural Mechanisms for Perceived Heaviness and Predicted Weight During Lifting: An fMRI Investigation of the Size-Weight Illusion
Using fMRI, we show that the perception of object weight and the prediction of force required for lifting are supported by distinct neural circuits — providing key evidence for separate visuomotor and perceptual streams.