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Choosing between Small, Likely Rewards and Large, Unlikely Rewards Activates Inferior and Orbital Prefrontal Cortex
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Patients sustaining lesions of the orbital prefrontal cortex (PFC) exhibit marked impairments in the performance of laboratory-based gambling, or risk-taking, tasks, suggesting that this part of the human PFC contributes to decision-making cognition. However, to date, little is known about the particular regions of the orbital cortex that participate in this function. In the present study, eight healthy volunteers were scanned, using H 215 0 PET technology, while performing a novel computerized risk-taking task. The task involved predicting which of two mutually exclusive outcomes would occur, but critically, the larger reward (and penalty) was associated with choice of the least likely outcome, whereas the smallest reward (and penalty) was associated with choice of the most likely outcome. Resolving these “conflicting” decisions was associated with three distinct foci of regional cerebral blood flow increase within the right inferior and orbital PFC: laterally, in the anterior part of the middle frontal gyrus [Brodmann area 10 (BA 10)], medially, in the orbital gyrus (BA 11), and posteriorly, in the anterior portion of the inferior frontal gyrus (BA 47). By contrast, increases in the degree of conflict inherent in these decisions was associated with only limited changes in activity within orbital PFC and the anterior cingulate cortex. These results suggest that decision making recruits neural activity from multiple regions of the inferior PFC that receive information from a diverse set of cortical and limbic inputs, and that the contribution of the orbitofrontal regions may involve processing changes in reward-related information.
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Beauchamp, M. H., Dagher, A., Aston, J. A. D., & Doyon, J. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.003 · Cited by 148
The Role of the Amygdala in Signaling Prospective Outcome of Choice
Kahn, I., Yeshurun, Y., Rotshtein, P., Fried, I., Ben-Bashat, D., & Hendler, T. (2002) · Neuron · doi:10.1016/s0896-6273(02)00626-8 · Cited by 141
The neuropsychology of mood disorders
Chamberlain, S. R., & Sahakian, B. J. (2006) · Current Psychiatry Reports · doi:10.1007/s11920-006-0051-x · Cited by 140
Self-citationRegional brain changes in bipolar I depression: a functional magnetic resonance imaging study
Altshuler, L., Bookheimer, S., Townsend, J., Proenza, M. A., Sabb, F., Mintz, J., & Cohen, M. S. (2008) · Bipolar Disorders · doi:10.1111/j.1399-5618.2008.00617.x · Cited by 135
“Activation of BA10 has been reported to occur in association with conflict resolution and decision making (63).”
Functional neuroimaging of intertemporal choice models: a review
Carter, R. M., Meyer, J. R., & Huettel, S. A. (2010) · Journal of Neuroscience Psychology and Economics · doi:10.1037/a0018046 · Cited by 124
Metadata
- Authors
- Rogers, R. D., Owen, A. M., Middleton, H. C., Williams, E. J., Pickard, J. D., Sahakian, B. J., & Robbins, T. W.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1999-10-15
- Volume
- 19
- Issue
- 20
- Pages
- 9029-9038
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W4296759584
- Cited by
- 747
- References
- 15
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.