Figure 4.

Structural equation modeling revealed significant effects of effective connectivity and structural connectivity of the fronto‐accumbal circuit on diagnosis. SEM was estimated using a Bayesian approach based on Markov Chain Monte Carlo sampling (100,000 iterations). Only Session 1 data [22 AN (15 resting state fMRI) and 18 HC (17 resting state fMRI)] were included in this model, for the functional connectivity showed a reliability issue across session in HC (see section on “Results”). Model parameters are provided with posterior probabilities for regression weights or covariance to be different from zero (in parenthesis). Ref denotes reference weights to enable parameter estimation.