Key result
Higher anticipated rewards increase alpha and beta desynchronization to predict reward-based performance improvements.
Why the study?
Prior studies have analysed the effect of reward on cognitive flexibility, but the neural mechanisms underlying these effects remain largely unknown.
Do varying reward prospects influence neural oscillations and behavioural performance in participants engaged in rule-guided task-switching?
Do varying reward prospects influence neural oscillations and behavioural performance in participants engaged in rule-guided task-switching?
Higher anticipated rewards improve cognitive flexibility and task performance through desynchronisation of alpha and beta neural oscillations.
Caution against clinical translation; leaves open mechanistic extensions to cognitive disorders.
Cognitive flexibility is crucial for adaptive human behaviour. Prior studies have analysed the effect of reward on cognitive flexibility; however, the neural mechanisms underlying these effects remain largely unknown. This study explores how reward influences neural oscillations and how these changes impact behavioural performance. Using time-frequency decomposition, we examined electroencephalographic data from participants engaged in rule-guided task-switching with varying reward prospects. Higher anticipated rewards lead to greater desynchronisation of alpha (8-12Hz) and beta (20-30Hz) oscillations, which in turn correlated with improved task performance. Both alpha power and event-related potential (ERP) coding of reward independently predicted reward-based performance improvements, suggesting distinct mechanisms supporting proactive control. These findings underscore the unique contributions of neural oscillations in mediating motivational effects on cognitive flexibility.
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Chau et al. (2025) studied Cognitive flexibility. Varying reward prospects was evaluated on Neural oscillations (alpha and beta desynchronisation) and behavioural performance. Higher anticipated rewards led to greater desynchronisation of alpha (8-12Hz) and beta (20-30Hz) oscillations, which independently predicted reward-based performance improvements.
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