CATO is an integrative and modular software package for the reconstruction of structural and functional brain connectivity based on diffusion weighted imaging and resting-state functional MRI data. CATO enables researchers to run end-to-end reconstructions from MRI data to structural and functional connectome maps, customize their analysis and utilize different software packages during the data preprocessing.
CATO is introduced in:
Structural and functional connectivity reconstruction with CATO - A Connectivity Analysis TOolbox
Siemon C. de Lange, Koen Helwegen, and Martijn P. van den Heuvel - NeuroImage, 2023
CATO is a reconstruction toolbox useful for researchers at all technical levels including both easy to use default parameters and example scripts as well as advanced options to customize the reconstruction steps.
The modular design of CATO enables researchers to run end-to-end reconstructions from raw MRI data to connectomes, customize their analysis and/or utilize other software packages such as FreeSurfer and FSL during the data processing.
CATO is available both as a package for MATLAB and as a compiled standalone executable for use on e.g. high-performance cluster computers.
CATO is open-source and free-to-use under the MIT License. Source code and developments are available on the GitHub repository.