Abstract
Task-based measures that precisely characterize neurocognitive processes can help bridge the gap between brain and behavior. In order to transfer task measures to clinical application, reliability is a crucial benchmark because it poses 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 have scrutinized the re-test reliability of a probabilistic reversal learning task (PRLT) that is frequently used to characterize cognitive flexibility in psychiatric populations.
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