RE-RUN DEFAULT ANALYSES (as reported in manuscript) 1) open run_dccn_local.m and scroll down. 2) uncomment the analysis that you want to run Cross decoding: forward or backward classification direction Within decoding: training or testing runs RUN ALTERNATIVE ANALYSES ON EXISTING BETA-MAPS 1) go to root/GROUP level/decoding 2) open dccn_*2.m and choose between cross-decoding, within-decoding, univariate analyses 3) play around with the options 4) NOTE: the function [qsubfeval] sends a job to the Donders Institute cluster. Please change this function throughout the scripts to either [feval] (might take a very long time) or the dedicated function to send out jobs to your local cluster (recommended). RE-RUN PREPROCESSING FROM RAW DATA 1) Retrieve the raw fmri data from https://doi.org/10.34973/z3ym-9y81 2) Drag the 24 folders with participants' raw mri data into the 'raw data' directory. 3) Retrieve the raw behavioral data from https://doi.org/10.34973/z3ym-9y81 or https://osf.io/nqf6p/ 4) Drag the 24 folders with participants' behavioral data into the 'Behavioral' directory. 5) Go to /GROUP level/SPM/ and run: 1) run import batch (convert DICOM to NIFTI and organize folder structure) 2) run preprocess batch 3) run "delete superfluous" (to delete all intermediate pre-processing steps) 6) go to /GROUP level/SPM/regressors/ and run: 1) all desired regressors (e.g., training, testing, localizer; see txt file there). 7) Put the template jobs of participant 10 into the directory /SUBJECT level/10/jobs 8) go back to /GROUP level/SPM/ and run: 1) all required models [run_models_C] 2) all required contrasts [run_contrasts_C] 9) Now, you can start with running the analyses as explained above (all ROIs will be created during decoding)