Running Freesurfer Linear Mixed Models on vertex-vise data is a popular way of capturing more advanced statistical models in neuroimaging. In this post I highlight how you can prepare your data in R for Freesurfer LMMs.

A new version of ggseg R-package for visualisations of brain atlases was released a couple of months ago . I wanted to create such an update for a long time, but getting the internal logics of a ggplot geom working as I wanted was rather difficult . New {ggseg} with Geom! The position is what I’m truly happy about!

ggseg3d is a package for 3d mesh plots of brain atlases using plotly . It is made to plot brain atlas data . It should be fairly easy to use or atlele to make the first plot . It can be installed from our works GitHub account using remotes .

The ggseg package was so well received that we almost immediately got it on [Neuroconductor]. We got some pull requests from people helping us improve the code, and particularly get it ready for CRAN when we decide to submit it there . The package vignettes are update on how you may supply data for facetting .

The ggseg R-package for brain segmentations is intended for those who need to easily plot results or overviews of segmentet data . The package is developed as part of our lab [The Center for Lifespanism and Cognition [LCBC-UiO]

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 .