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.
Graduate course on fMRI: from MRI physics and BOLD signal to experimental design, preprocessing, GLM analysis, MVPA, and reproducibility best practices.
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
Using information-theoretic measures, this study quantifies how neural specificity (differentiation) of motor and executive functions declines with age — shedding light on the mechanisms of cognitive aging.
Using a novel, motivationally engaging battlefield scenario and simultaneous fMRI-EEG, this study identifies the neural circuits supporting successful response inhibition, revealing distinct contributions of prefrontal, parietal, and cingulate regions to inhibitory control under real-world-like conditions.
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.