SPM compatibility

This package allows to load DCMs that were created by SPM. By loading a DCM.mat file, information that is relevant for rDCM is extracted, all other fields in the DCM struct are ignored. The extracted information is then converted to rDCM's internal representation of a DCM.

This internal representation of a DCM can be exported again as a DCM.mat file for e.g., post-processing of inferred rDCM results. However, not all functionality in SPM will be compatible with the exported DCM.mat file because fields that are not relevant for rDCM will be missing. This is mainly due to the fact that some SPM routines expect a B-matrix (i.e., modulatory influences), whereas rDCM is a linear model and contains only A and C parameters. Nevertheless, these incompatibilities relate mainly to, e.g., plotting functionalities in SPM. Based on rDCM results, users will be able to perform the following (and more) analyses:

• fixed-effects and random-effects Bayesian model selection (BMS)
• fixed-effects and random-effects Bayesian model averaging (BMA)
• Bayesian parameter averaging (BPA)
• Post-hoc optimization (search over all reduced models)
• Parametric Empirical Bayes (PEB)

A DCM.mat file created by SPM can be loaded by

dcm = load_DCM("DCM.mat")

After model inversion the results can be exported in an SPM compatible format:

export_to_SPM("DCM.mat",rdcm,output)

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