Figure 5.

Dynamic causal modeling. (a) The six dynamic causal models used for Bayesian model comparison. Each model receives (parameterized) input at primary visual cortex (V1) source under the language condition in deaf participants. (b) Family-wise Bayesian model selection was used to establish the best neural network architecture for the feedback and feed-forward effect to the STC. Families of models with feedback from IFG/ATC to STC and with feed-forward from V1 to STC/ATC best explained the data. (c) Random effects Bayesian model selection showed model 1 (marked with the red box in (a)) best fits the data for the language condition in deaf individuals.