Neuropsychological tests
REGRESSION
The group comparisons for the neuropsychological tests were conducted using linear regression models allowing for unequal variances with the The Sequential Model-Based/Model-Free (MBMF) task was analysed according to previously published literature [Finally, for the Probabilistic Reversal Learning Task, we used an innovative computational modelling approach, by fitting families of hierarchical Bayesian reinforcement learning models to trial-by-trial task data [We analysed the differences in parameter values between groups by first calculating group mean differences (MDs) per parameter. The 90% highest density intervals (HDIs) of the posterior distribution per MD were then calculated and inspected to check whether they included zero (evidence for no difference between groups). Full details of model formulation, model fitting, and parameter recovery are provided in the 