The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Neural Systems Responding to Degrees of Uncertainty in Human Decision-Making
Abstract
Much is known about how people make decisions under varying levels of probability (risk). Less is known about the neural basis of decision-making when probabilities are uncertain because of missing information (ambiguity). In decision theory, ambiguity about probabilities should not affect choices. Using functional brain imaging, we show that the level of ambiguity in choices correlates positively with activation in the amygdala and orbitofrontal cortex, and negatively with a striatal system. Moreover, striatal activity correlates positively with expected reward. Neurological subjects with orbitofrontal lesions were insensitive to the level of ambiguity and risk in behavioral choices. These data suggest a general neural circuit responding to degrees of uncertainty, contrary to decision theory.
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“These two dimensions, which characterize most daily life events, have been shown to involve the modulation of amygdala, prefrontal cortex and striatum (e.g., Hsu et al., 2005), the key nodes of the triadic model.”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Hsu et al., 2005
In the citing paper
“recent theories of amygdala function argue that the amygdala subserves an abstract function in detecting uncertainty (13) or ambiguity (14) in the environment and in triggering arousal and vigilance as a consequence.”
From Amygdala damage eliminates monetary loss aversion (2010) · cites this paper as [14]
Citations
Cites
“Risk, Ambiguity, and the Savage Axioms.”
Ellsberg, D. (1961) · The Quarterly Journal of Economics · doi:10.2307/1884324 · Cited by 7,891
Maxmin expected utility with non-unique prior
Gilboa, I., & Schmeidler, D. (1989) · Journal of Mathematical Economics · doi:10.1016/0304-4068(89)90018-9 · Cited by 4,180
Separate neural systems value immediate and delayed monetary rewards
McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004) · Science · doi:10.1126/science.1100907 · Cited by 3,089
Subjective probability and expected utility without additivity
Schmeidler, D. (2004) · Routledge eBooks · doi:10.4324/9780203358061-10 · Cited by 2,497
Subjective Probability and Expected Utility without Additivity
Schmeidler, D. (1989) · Econometrica · doi:10.2307/1911053 · Cited by 2,276
Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens
Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-16-j0002.2001 · Cited by 2,244
Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning
O'Doherty, J., Dayan, P., Schultz, J., Deichmann, R., Friston, K., & Dolan, R. J. (2004) · Science · doi:10.1126/science.1094285 · Cited by 2,088
Neural systems for recognizing emotion
Adolphs, R. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00301-x · Cited by 1,933
Self-citationBechara, A., Tranel, D., & Damásio, H. (2000) · Brain · doi:10.1093/brain/123.11.2189 · Cited by 1,903
Self-citationRecent developments in modeling preferences: Uncertainty and ambiguity
Camerer, C., & Weber, M. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122575 · Cited by 1,795
Self-citationMultiple reward signals in the brain
Schultz, W. (2000) · Nature Reviews Neuroscience · doi:10.1038/35044563 · Cited by 1,303
Ambiguity Aversion and Comparative Ignorance
Fox, C. R., & Tversky, A. (1995) · The Quarterly Journal of Economics · doi:10.2307/2946693 · Cited by 1,072
Performance on Indirect Measures of Race Evaluation Predicts Amygdala Activation
Phelps, E. A., O'Connor, K. J., Cunningham, W. A., Funayama, E. S., Gatenby, J. C., Gore, J. C., & Banaji, M. R. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900562552 · Cited by 1,001
Critchley, H. D., Elliott, R., Mathias, C. J., & Dolan, R. J. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-08-03033.2000 · Cited by 813
Fear, Vigilance, and Ambiguity
Whalen, P. J. (1998) · Current Directions in Psychological Science · doi:10.1111/1467-8721.ep10836912 · Cited by 802
Neuroeconomics: The Consilience of Brain and Decision
Glimcher, P. W., & Rustichini, A. (2004) · Science · doi:10.1126/science.1102566 · Cited by 748
Ambiguity Aversion and Comparative Ignorance
Fox, C. R., & Tversky, A. (2000) · Cambridge University Press eBooks · doi:10.1017/cbo9780511803475.031 · Cited by 686
Neural activity in the human brain relating to uncertainty and arousal during anticipation.
Critchley, H. D., Mathias, C. J., & Dolan, R. J. (2001) · Neuron · doi:10.1016/s0896-6273(01)00225-2 · Cited by 681
Siegel, J. J. (1994) · Cited by 590
Role of the Amygdala in Decision‐Making
Bechara, A., Damásio, H., & Damásio, A. R. (2003) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2003.tb07094.x · Cited by 491
Frisch, D., & Baron, J. (1988) · Journal of Behavioral Decision Making · doi:10.1002/bdm.3960010303 · Cited by 469
Effects of Gaze on Amygdala Sensitivity to Anger and Fear Faces
Adams, R. B., Gordon, H. L., Baird, A. A., Ambady, N., & Kleck, R. E. (2003) · Science · doi:10.1126/science.1082244 · Cited by 444
Contextual modulation of amygdala responsivity to surprised faces
Kim, H., Somerville, L. H., Johnstone, T., Polis, S., Alexander, A. L., Shin, L. M., & Whalen, P. J. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042947865 · Cited by 389
What Price Ambiguity? or the Role of Ambiguity in Decision-Making
Becker, S. W., & Brownson, F. O. (1964) · Journal of Political Economy · doi:10.1086/258854 · Cited by 374
Inverse amygdala and medial prefrontal cortex responses to surprised faces
Kim, H., Somerville, L. H., Johnstone, T., Alexander, A. L., & Whalen, P. J. (2003) · NeuroReport · doi:10.1097/00001756-200312190-00006 · Cited by 359
Gifford, S. E. (2010) · Springer eBooks · doi:10.1007/978-1-4419-1191-9_12 · Cited by 179
Interaction of the Amygdala with the Frontal Lobe in Reward Memory
Gaffan, D., Murray, E. A., & Fabre‐Thorpe, M. (1993) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1993.tb00948.x · Cited by 128
A brain imaging study of the choice procedure
Rustichini, A., Dickhaut, J. W., Ghirardato, P., Smith, K. C. S., & Pardo, J. V. (2004) · Games and Economic Behavior · doi:10.1016/j.geb.2004.08.005 · Cited by 71
The role of competition and knowledge in the Ellsberg task
Kühberger, A., & Perner, J. (2003) · Journal of Behavioral Decision Making · doi:10.1002/bdm.441 · Cited by 48
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Research works printed but not linked: 1
- D. Amaral, J. Price, A. Pitkanen, S. Carmichael, in The Amygdala: Neurobiological Aspects of Emotion, Memory, and Mental Dysfunction, J. P. Aggleton, Ed. (Wiley, New York, 1992), pp. 1â66.
Cited by
Sorted by citations
A framework for studying the neurobiology of value-based decision making
Rangel, A., Camerer, C., & Montague, P. R. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2357 · Cited by 2,184
Self-citationThe neural correlates of subjective value during intertemporal choice
Kable, J. W., & Glimcher, P. W. (2007) · Nature Neuroscience · doi:10.1038/nn2007 · Cited by 1,916
The free-energy principle: a rough guide to the brain?
Friston, K. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.04.005 · Cited by 1,831
Pessoa, L., & Adolphs, R. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2920 · Cited by 1,794
Self-citationHabits, Rituals, and the Evaluative Brain
Graybiel, A. M. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112851 · Cited by 1,697
Metadata
- Authors
- Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., & Camerer, C. F.
- Affiliations
- California Institute of Technology (US)
- Corresponding author
- Camerer, Colin F.
- Venue
- Science
- Published
- 2005-12-09
- Volume
- 310
- Issue
- 5754
- Pages
- 1680-1683
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2104346961
- Cited by
- 1,411
- References
- 29
- Citations by year
- 2026: 48 · 2025: 33 · 2024: 88 · 2023: 41 · 2022: 62 · 2021: 57 · 2020: 47 · 2019: 54 · 2018: 65 · 2017: 76 · 2016: 68 · 2015: 79 · 2014: 85 · 2013: 85 · 2012: 87
- FWCI
- 29.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH067681)
- National Institute of Neurological Disorders and Stroke (P01 NS19632, P01NS019632)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- decision making under ambiguity, risk, uncertainty, amygdala, orbitofrontal cortex, striatum, expected reward, neural basis of choice, functional neuroimaging
- MeSH terms
- Adult, Amygdala, Brain, Brain Diseases, Brain Mapping, Corpus Striatum, Decision Making, Decision Theory, Female, Frontal Lobe, Games, Experimental, Humans, Magnetic Resonance Imaging, Male, Mental Processes, Probability, Reward, Risk, Confidence Intervals, Likelihood Functions, Uncertainty
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