ArticleFrontiers in psychology2020
Neural Dynamics of the Combined Discounting of Delay and Probability During the Evaluation of a Delayed Risky Reward.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Present-Biased Preferences Associated with Socioeconomic Status in Intertemporal Decision-Making: Evidence from Behavioral and Electroencephalographic Measures.Brain sciences · 2026Article
- Time Overestimation Devalues Future Rewards: Electroencephalogram Evidence from Intertemporal Choice.Brain sciences · 2026Article
- Atypical reward anticipation in impulsive individuals: evidence from EEG and experiential delay discounting.Frontiers in psychology · 2025Article
- Intertemporal Decision-making and Risk Decision-making Among Habitual Nappers Under Nap Sleep Restriction: A Study from ERP and Time-frequency.Brain topography · 2023Article
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4 authors.
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Abstract
Delay discounting and probability discounting are two important processes, but in daily life there are many more situations that involve delayed risky outcomes. Although neuroscience research has extensively investigated delay and probability discounting in isolation, little research has explored the neural correlates of the combined discounting of delay and probability. Using the event-related brain potentials (ERPs) technique, we designed a novel paradigm to investigate neural processes related to the combined discounting of delay and probability during the evaluation of a delayed risky reward. ERP results suggested distinct temporal dynamics for delay and probability processing during combined discounting. Both the early frontal P200 and the N2 reflected only probability, not delay, while the parietal P300 was sensitive to both probability and delay. Furthermore, the late positive potential (LPP) was sensitive to probability, but insensitive to delay. These results suggest that probability has a prolonged modulatory effect on reward evaluation in the information processing stream. These findings contribute to an understanding of the neural processes underlying the combined discounting of delay and probability. The limitation of this study is to only consider four delay and probability combinations. Future studies can explore the combined discounting of more probability and delay combinations to further test the robustness of the conclusion.
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