Karvelis, P. and Paulus, M.P. and Diaconescu, A.O.
Bringing precision to the understanding and treatment of mental disorders requires instruments for measuring clinically relevant individual differences. One promising approach is the development of computational assays: combining cognitive tasks with computational models to infer latent patient-specific disease processes in brain computations. While recent years have seen many methodological advancements in computational modelling and many cross-sectional patient studies, much less attention has been paid to basic psychometric properties (reliability and construct validity) of the computational measures provided by the assays.
