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.

February 2024 · Erik Chang

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

January 2023 · Erik Chang

Information-Theoretic Quantification of Dedifferentiation in the Aging of Motor and Executive Functions

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.

January 2021 · Erik Chang

Neural Mechanisms of Inhibitory Response in a Battlefield Scenario: A Simultaneous fMRI-EEG Study

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.

May 2016 · Li-Wei Ko, Yi-Cheng Shih, Rupesh Kumar Chikara, Ya-Ting Chuang, Erik C. Chang

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.

January 2009 · Patrick A. Chouinard, Meaghan Large, Erik Chang, Melvyn A. Goodale