Generative Embedding for Model-Based Classification of fMRI Data
Figure 2
Strategies for unbiased DCM-based generative embedding.
This figure illustrates how generative embedding can be implemented using dynamic causal modelling. Depending on whether regions of interest are defined anatomically, based on across-subjects functional contrasts, or based on between-group contrasts, there are several possible practical procedures. Some of these procedures may lead to biased estimates of classification accuracy (grey boxes). Procedures a, c, and f avoid this bias, and are therefore recommended (green boxes). The analysis of the illustrative dataset described in this paper follows procedure c.