ArticleProceedings of the National Academy of Sciences of the United States of America2019
Risk-taking bias in human decision-making is encoded via a right-left brain push-pull system.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Overt Visual Attention in the Formation of Preference Between Complex Lottery Options.Computational brain & behavior · 2025Article
- Deviation from Nash mixed equilibrium in repeated rock-scissors-paper reflect individual traits.Scientific reports · 2025Article
- An Exploratory Study of Large-Scale Brain Networks during Gambling Using SEEG.Brain sciences · 2024Article
- An EEG Dataset of Neural Signatures in a Competitive Two-Player Game Encouraging Deceptive Behavior.Scientific data · 2024Article
- Internal states as a source of subject-dependent movement variability are represented by large-scale brain networks.Nature communications · 2023Article
- Individual risk attitudes arise from noise in neurocognitive magnitude representations.Nature human behaviour · 2023Article
- Association between vmPFC gray matter volume and smoking initiation in adolescents.Nature communications · 2023Article
- Risk and aversion coding in human habenula high gamma activity.Brain : a journal of neurology · 2023Article
- Decomposing Executive Function into Distinct Processes Underlying Human Decision Making.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022Article
- Neural mass model-based study of frontal-temporal theta oscillations in human subjects during the performance of a cognitive control task.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022Article
- Structure-function coupling within the reward network in preschool children predicts executive functioning in later childhood.Developmental cognitive neuroscience · 2022Article
- Association of increased abdominal adiposity at birth with altered ventral caudate microstructure.International journal of obesity (2005) · 2021Article
- Differential functional connectivity underlying asymmetric reward-related activity in human and nonhuman primates.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Infra-slow brain dynamics as a marker for cognitive function and decline.Advances in neural information processing systems · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
A person's decisions vary even when options stay the same, like when a gambler changes bets despite constant odds of winning. Internal bias (e.g., emotion) contributes to this variability and is shaped by past outcomes, yet its neurobiology during decision-making is not well understood. To map neural circuits encoding bias, we administered a gambling task to 10 participants implanted with intracerebral depth electrodes in cortical and subcortical structures. We predicted the variability in betting behavior within and across patients by individual bias, which is estimated through a dynamical model of choice. Our analysis further revealed that high-frequency activity increased in the right hemisphere when participants were biased toward risky bets, while it increased in the left hemisphere when participants were biased away from risky bets. Our findings provide electrophysiological evidence that risk-taking bias is a lateralized push-pull neural system governing counterintuitive and highly variable decision-making in humans.
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