BrainStat: A toolbox for brain-wide statistics and multimodal feature associations.

ABSTRACT: Analysis and interpretation of neuroimaging datasets has become a multidisciplinary endeavor, relying not only on statistical methods, but increasingly on associations with respect to other brain-derived features such as gene expression, histological data, and functional as well as cognitive architectures. Here, we introduce BrainStat - a toolbox for (i) univariate and multivariate linear models in volumetric and surface-based brain imaging datasets, and (ii) multidomain feature association of results with respect to spatial maps of post-mortem gene expression and histology, task-based fMRI meta-analysis, as well as resting-state fMRI motifs across several common surface templates. The combination of statistics and feature associations into a turnkey toolbox streamlines analytical processe

SUBMITTER: Lariviere S 

PROVIDER: S-EPMC10715099 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature