Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample

Abstract Maladaptive behavior during approach-avoidance conflict (AAC) is common to multiple psychiatric disorders. Using computational modeling, we previously reported that individuals with depression, anxiety, and substance use disorders (DEP/ANX; SUDs) exhibited differences in decision uncertainty sensitivity negative outcomes versus reward (emotional conflict) relative healthy controls (HCs). However, it remains unknown whether these parameters group are stable over time. We analyzed 1-year follow-up data from a subset of the same participants ( N = 325) assess parameter stability relationships other clinical task measures. assessed entire sample as well matched for age IQ across HCs 48), SUDs 29), DEP/ANX 121). also 2–3 week reliability separate 30 HCs. Emotional showed moderate intra-class correlations (.52 .46, respectively) excellent shorter period (.84 .54, respectively). Similar previous baseline findings, correlated response time measures p s < .001) self-reported anxiety r .30, difficulty .44, .001). Linear mixed effects analyses revealed patients remained higher (SUDs, .009) lower emotional .004, DEP/ANX, .02) This modelling approach may therefore offer relatively markers transdiagnostic psychopathology.