fMRI-Analysis-Using-GLM-and-DMN-Visualization

This notebook demonstrates a full workflow for analyzing fMRI data from an auditory task versus rest. Using a General Linear Model (GLM), it computes brain activation contrasts, visualizes statistical maps, and highlights significant regions in the Default Mode Network (DMN). The analysis includes preprocessing, design matrix creation, contrast definition, Z-score thresholding, cluster filtering, and visualization with Nilearn. Functional atlases such as DiFuMo and Harvard–Oxford are used to identify key brain regions, ensuring reproducibility in cloud environments like Kaggle.