Each bubble represents a node with a descriptive name and the software package or utility in parentheses (io: input/output utility). Arrows indicate directional connections between nodes. The infosource utility takes the subject names and passes them on to the nodes that require this information (datasource, selectfiles, bbreg, fssource, gestubinforuns). Datasource and selectfiles select the files needed for the analysis. The functional runs are first realigned and unwarped (RealignUnwarp). The mean realigned image together with the structural image are used in the bbreg step to perform the boundary based registration. Convert2itk (c3: c3d converts 3D images between common file formats, https://sourceforge.net/p/c3d/git/ci/master/tree/doc/c3d.md) converts the rotation/translation matrix from bbreg to ITK format in order to be able to use ANTs to apply the coregistration transformations of the functional to structural runs in the warpbbreg step. The coregistered runs are then smoothed (smooth_native). Outliers are computed in the art (rapidart) step. Model generation is implemented in modelspec, where smoothed images, regressors of interest (onsets, durations convolved with HRF from getsubinforuns), and regressors of no interest (realignment parameters, outliers, physiological regressors, button presses) are gathered. These are modeled in the level1design step in SPM, estimated in level1estimate, and contrasts calculated in the contrast step. The two ANTs registrations to MNI (antsRegister_init and antsRegister_mask) are computed in parallel. Contrast warping to MNI space is computed in the warpcon step, and individual structural images are warped to MNI space in the warpstruc step. Using FSL statistical maps are overlayed in overlaystats and slicestats for quick visual inspection. The sinker collects desired files written in the temporary directory and organizes them according to subject name and computational step for easy access. Data processing workflows for MGB and tonotopic localizer follow the one for the speech experiment. Transformation matrices to MNI space were taken from the speech experiment computation, as data from all experiments need to be in the same space.