PT  - JOURNAL ARTICLE
AU  - Christian Gaser
AU  - Robert Dahnke
AU  - Paul M Thompson
AU  - Florian Kurth
AU  - Eileen Luders
AU  - Alzheimer’s Disease Neuroimaging Initiative
TI  - CAT – A Computational Anatomy Toolbox for the Analysis of Structural MRI Data
AID  - 10.1101/2022.06.11.495736
DP  - 2022 Jan 01
TA  - bioRxiv
PG  - 2022.06.11.495736
4099  - http://biorxiv.org/content/early/2022/06/13/2022.06.11.495736.short
4100  - http://biorxiv.org/content/early/2022/06/13/2022.06.11.495736.full
AB  - A large range of sophisticated brain image analysis tools have been developed by the neuroscience community, greatly advancing the field of human brain mapping. Here we introduce the Computational Anatomy Toolbox (CAT) - a powerful suite of tools for morphometric analyses with an intuitive graphical user interface, but also usable as a shell script. CAT is suitable for beginners, casual users, experts, and developers alike providing a comprehensive set of analysis options, workflows, and integrated pipelines. The available analysis streams – illustrated on an example dataset – allow for voxel-based, surface-based, as well as region-based morphometric analyses. Importantly, CAT includes various quality control options and covers the entire analysis workflow, from cross-sectional or longitudinal data processing, to the statistical analysis, and visualization of results. The overarching aim of this article is to provide a complete description of CAT, while, at the same time, offering a citable standard reference.Competing Interest StatementThe authors have declared no competing interest.