Sufficient reliability of the behavioral and computational readouts of a probabilistic reversal learning task.

ABSTRACT: Task-based measures that capture neurocognitive processes can help bridge the gap between brain and behavior. To transfer tasks to clinical application, reliability is a crucial benchmark because it imposes an upper bound to potential correlations with other variables (e.g., symptom or brain data). However, the reliability of many task readouts is low. In this study, we scrutinized the retest reliability of a probabilistic reversal learning task (PRLT) that is frequently used to characterize cognitive flexibility in psychiatric populations. We analyzed data from N = 40 healthy subjects, who completed the PRLT twice. We focused on how individual metrics are derived, i.e., whether data were partially pooled across participants and whether priors were used to inform estimates. We compared the

SUBMITTER: Waltmann M 

PROVIDER: S-EPMC9729159 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature