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Codebase for Seitzman et al., 2019, PNAS
- MATLAB 98.4%
- Other 1.6%
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The included MATLAB scripts were used in the study: Seitzman et al., 2019. Trait-like variants in human functional brain networks. PNAS. These scripts will allow users to create network variants, assign them to network templates, and find subgroups/sub-types of individuals on the basis of network variants. The order in which the scripts should be run are: 1. createSpatialCorrMap.m 2. binarizeAndIDvariants.m 3. templateMatchingVariants.m (optional 3.5. reassignTemplates.m) 4. findVariantSubgroups.m All of these scripts require supporting scripts for reading and writing CIFTI files (see more at https://github.com/fieldtrip/fieldtrip/). Modified version of these scripts are provided in the Resources folder. This folder also includes two scripts for computing pairwise correlations in parallel and Fisher-Z transforming correlation coefficients. One option is to run the following command in the MATLAB command window before running the first script: addpath(genpath('/your/path/to/the/Resources/folder/Resources/')) Additionally, supporting .mat or .dtseries.nii (CIFTI) files are included in this release. Please cite our paper when using any of these scripts (Seitzman et al., 2019. Trait-like variants in human functional brain networks. PNAS). For any questions, problems, or bugs found, please email email@example.com and/or firstname.lastname@example.org. Thank you!