Fig. 2: Analysis pipeline.

The analysis harnessed generative models of participants’ behavior and neural dynamics. The decision components for the face matching task (e.g. drift rate) were used to identify a network of brain regions from which we were able to derive a mechanistic understanding of behavioral differences. These regions were then used to establish a DCM that describes functional coupling within the network circuitry. Statistical inference was performed separately on LBA and DCM parameters.