Behavioral data were analyzed in PASW Statistics v. 18 (IBM, Somers, New York) using multivariate analysis of variance with diagnosis and trial type (i.e., AX, AY, BX, BY) as factors. For the neuro-imaging data, for each network property analyzed (SR, SE, λ, γ, and σ), main effects of cue (A or B cue), diagnosis, and their interaction, were modeled using analysis of variance. Empiric p values were estimated using permutation methods suitable for factorial designs (42,43). We performed 5000 permutations for each analysis.
