Cortical Beta Power Reflects the Influence of Pavlovian Cues on Human Decision-Making

Reward-predictive cues can affect decision-making by enhancing instrumental responses toward the same (specific transfer) or similar (general transfer) rewards. The main theories on cue-guided decision-making consider specific transfer as driven by the activation of previously learned instrumental actions induced by cues sharing the sensory-specific properties of the reward they are associated with. However, to date, such theoretical assumption has never been directly investigated at the neural level. We hypothesize that such reactivation occurs within the premotor system and could be mapped by lateralized beta (12-30 Hz) desynchronization, a widely used marker of action selection and decision-making policy. To test this hypothesis, 42 participants (22 females) performed a pavlovian-to-instrumental transfer paradigm, while electroencephalographic activity was recorded. We anticipated increased beta desynchronization during the transfer phase when cues promoting specific transfer were presented, compared with cues predicting general transfer and neutral cues. The evidence collected confirmed our hypothesis, thus providing the first neural evidence in favor of the theorized reactivation of instrumental actions and corroborating the presence of two dissociable neural pathways underpinning specific and general transfer.

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Publication Details

Journal
Journal of Neuroscience
Published
2024-12-23
DOI
https://doi.org/10.1523/jneurosci.0414-24.2024
Citations
4
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
1.37

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article

Cortical Beta Power Reflects the Influence of Pavlovian Cues on Human Decision-Making

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4 citations
Journal of Neuroscience
Neural dynamics and brain function
1.37
article

Cortical Beta Power Reflects the Influence of Pavlovian Cues on Human Decision-Making

Lara Bardi, Angela Sirigu, Sara Garofalo, Valeria Gazzola, Gianluca Finotti, Luigi Degni, Daniela Dalbagno, Francesca Starita, Yulong Huang, Jun-Jie Wei, Giuseppe di Pellegrino, Marco Badioli
article en
4 citations

Abstract

Reward-predictive cues can affect decision-making by enhancing instrumental responses toward the same (specific transfer) or similar (general transfer) rewards. The main theories on cue-guided decision-making consider specific transfer as driven by the activation of previously learned instrumental actions induced by cues sharing the sensory-specific properties of the reward they are associated with. However, to date, such theoretical assumption has never been directly investigated at the neural level. We hypothesize that such reactivation occurs within the premotor system and could be mapped by lateralized beta (12-30 Hz) desynchronization, a widely used marker of action selection and decision-making policy. To test this hypothesis, 42 participants (22 females) performed a pavlovian-to-instrumental transfer paradigm, while electroencephalographic activity was recorded. We anticipated increased beta desynchronization during the transfer phase when cues promoting specific transfer were presented, compared with cues predicting general transfer and neutral cues. The evidence collected confirmed our hypothesis, thus providing the first neural evidence in favor of the theorized reactivation of instrumental actions and corroborating the presence of two dissociable neural pathways underpinning specific and general transfer.

Journal of NeuroscienceVol. 45(6)
Università di Camerino (IT), Centre National de la Recherche Scientifique (FR), Netherlands Institute for Neuroscience (NL), Ghent University (BE), Institut des Sciences Cognitives Marc Jeannerod (FR), Centre Hospitalier Le Vinatier (FR), Institut des Sciences Cognitives (FR), Amsterdam University of Applied Sciences (NL), University of Amsterdam (NL), University of Bologna (IT)
European Commission, Fundação Bial, Ministero dell'Università e della Ricerca, Horizon 2020 Framework Programme
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Neural dynamics and brain function
1.37
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