Learn to create model matrices for Freesurfer Linear Mixed Models (LMM) in R using built-in functions. This guide walks you through manually creating model matrices, utilizing the model.matrix function, and standardizing variables. Includes creating a function to streamline the process, making neuroimaging data analysis more efficient.

We released a new version of the ggseg R-package for visualizing brain atlases. It features a geom_brain function and position_brain for flexible brain slice positioning in ggplot2. This update enhances atlas plotting, offering more customization and improved visuals.

For neuroimaging, toggling between R and imaging software like FSL or Freesurfer is common. We segment large 3D brain data into meaningful regions. Our ggseg and ggseg3d packages visualize the brain’s Desikan-Killany atlas in 2D and 3D. Learn the steps to convert Freesurfer annotation files to mesh files using the ggsegExtra package for enhanced brain data visualization.

Discover how to create interactive 3D brain atlas plots using the ggseg3d package in R. Learn to visualize neuroimaging data with plotly, including setting up and customizing brain atlas plots. Ideal for neuroscientists and data scientists working with brain segmentation data.

Explore how to create animated visualizations of brain data using the ggseg and gganimate packages in R. Learn to prepare data for animations, customize plots, and generate smooth transitions to visualize changes across different conditions such as age.

Discover ggseg, an R package designed for plotting brain segmentations directly in R with ggplot2. Learn how to visualize results from different brain atlases, customize plots, and integrate your own data. Ideal for neuroimaging researchers needing to plot segmented brain data efficiently.

Last post was definately my most succesful (and I have so much experience :P). But it was fun with all the feedback and appreciation. So I’ll continue with a little more plotting. Circular plots are becoming more and more popular in for visualising associatetions between different phenomena. I think they look pretty cool, and while I have not yet published a paper with it, I did prep a lot of scripts for plotting my analysis results with it, with BRAINS! because, brains make it better. Always.