62 Informaciones Psiquiátricas 2025 - nº 258 Participants completed a probabilistic monetary reward task while undergoing fMRI scanning (Fig. 1). On each trial, they were asked to select between two designs, one of which was more likely to lead to a monetary gain. The participants’ goal was to learn which design was more rewarding. Crucially, this task generated RPE signals based on whether outcomes met or violated expectations. A computational model known as Q-learning was used to quantify each participant’s learning rate and RPEs throughout the task. Imaging data were processed using standard functional MRI analysis techniques, with additional modeling to identify how brain activity related to RPEs differed between the two groups and how these patterns correlated with clinical symptoms. Both whole-brain and region-of-interest analyses were conducted, the latter focusing on areas commonly implicated in reward processing such as the ventral striatum and orbitofrontal cortex. FIDMAG informa
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