brainMapR - an R package to analyse and visualise brain association maps

Left cortical thickness (regions associated with age)

Left subcortical thickness (regions associated with age)

All surface styles from FreeSurfer are available, and handy one-line gif functions are implemented

ROI plots are also possible

--> See code example and usage Tutorial and examples here.

--> Version updates

2025: Version brainMapR_1.1.0.9000 - adding SumR2 regression plots

2025: Version brainMapR_1.0.0.9000 - now includes SumR2 regression for the brain surface, and ROI plots

2023: Version brainMapR_0.8.0.9000 - first release

Overview

brainMapR is a package to analyse and plot brain association maps (BWAS results). It is tailored for brain MRI vertex-wise analyses, extracted from T1w images. brainMapR requires brain MRI processed with FreeSurfer (for cortical vertices) and/or ENIGMA-shape package (for subcortical vertices).

For more details about the processing and the analyses - see my two previous repositories brain-LMM and brain-mapping-LMM.

This package accompanies the publications:
A unified framework for association and prediction from vertex-wise grey-matter structure

Parsimonious model for mass-univariate vertexwise analysis

Grey-Matter Structure Markers of Alzheimer's Disease, Alzheimer's Conversion, Functioning and Cognition: A Meta-Analysis Across 11 Cohorts

Getting started

• Install the R package:

library(devtools)
devtools::install_github("baptisteCD/brainMapR")

• Load package

library(brainMapR)