Nipy on Functional Brain MRI

Explore modern brain image analysis tools in this 39-minute conference talk from EuroPython 2016. Dive into the process of analyzing resting-state functional MRI (fMRI) data using Nipy tools. Learn how to perform intra-subject registration, conduct Independent Component Analysis (ICA) to extract and visualize resting-state networks, and work with the COBRE dataset. Discover techniques for opening NifTI files with nibabel, visualizing anatomical images using nilearn.plotting, and co-registering anatomical images to fMRI data. Gain insights into performing CanICA and plotting ICA spatial segmentations. If time permits, explore advanced topics such as brain anatomical atlases, non-linear registration for atlas-based segmentation, and calculating resting-state functional connectivity matrices using nilearn and Bokeh for visualization.