SeeCAT
The Seed-based Connectivity Analysis Toolbox (SeeCAT) is developed in Matlab environment with GUI. The toolbox mainly includes four functional modules: 1) a preprocessing pipeline works with functional MRI data (work with SPM), which is enabled with fast parallel computing to improve processing speed; 2) a calculating module for seed-based structural or functional connectivity with various definitions of seeds; 3) a computation function for nodal degree in high-resolution functional brain networks (voxel-based) with flexible options, including selections for different thresholds, positive and negative connection, binary or weighted, anatomical distance, normalization, and smoothing; and 4) some useful tools for statistics, visualization and image calculation.
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seecat: 20230518_beta1 release
SeeCAT_20230518_beta.zip posted by Mingrui Xia on May 18, 2023