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Decoding the neural substrates of reward-related decision making with functional MRI

Hampton, Alan N. and O'Doherty, John P. (2007) Decoding the neural substrates of reward-related decision making with functional MRI. Proceedings of the National Academy of Sciences of the United States of America, 104 (4). pp. 1377-1382. ISSN 0027-8424. PMCID PMC1783089. doi:10.1073/pnas.0606297104.

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[img] PDF (Fig. 4. Behavioral choice responses and the signal-to-noise ratio in each region of interest) - Supplemental Material
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[img] PDF (Fig. 5. Normalized cross-correlation of regression residuals across regions) - Supplemental Material
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[img] PDF (Fig. 6. Classification receiver operating curve) - Supplemental Material
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[img] PDF (Fig. 7. Regional classifiers) - Supplemental Material
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[img] PDF (Fig. 8. Comparison of fMRI classifiers) - Supplemental Material
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[img] PDF (Fig. 9. Brain regions of interest. Nine regions of interest were specified) - Supplemental Material
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[img] PDF (Fig. 10. Results of a simple linear contrast between signals in regions of interest derived from averaging the last three scans in a trial (after the receipt of outcome), according to whether subjects switch or stay on the subsequent trial using smoothed ) - Supplemental Material
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Although previous studies have implicated a diverse set of brain regions in reward-related decision making, it is not yet known which of these regions contain information that directly reflects a decision. Here, we measured brain activity using functional MRI in a group of subjects while they performed a simple reward-based decision-making task: probabilistic reversal-learning. We recorded brain activity from nine distinct regions of interest previously implicated in decision making and separated out local spatially distributed signals in each region from global differences in signal. Using a multivariate analysis approach, we determined the extent to which global and local signals could be used to decode subjects' subsequent behavioral choice, based on their brain activity on the preceding trial. We found that subjects' decisions could be decoded to a high level of accuracy on the basis of both local and global signals even before they were required to make a choice, and even before they knew which physical action would be required. Furthermore, the combined signals from three specific brain areas (anterior cingulate cortex, medial prefrontal cortex, and ventral striatum) were found to provide all of the information sufficient to decode subjects' decisions out of all of the regions we studied. These findings implicate a specific network of regions in encoding information relevant to subsequent behavioral choice.

Item Type:Article
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URLURL TypeDescription CentralArticle Information
O'Doherty, John P.0000-0003-0016-3531
Additional Information:© 2007 by The National Academy of Sciences. Edited by Marcus E. Raichle, Washington University School of Medicine, St. Louis, MO, and approved December 7, 2006 (received for review July 25, 2006) We thank Dirk Neumann for helpful discussions. This work was supported by a grant from the Gimbel Discovery Fund For Neuroscience and a grant from the Gordon and Betty Moore Foundation (to J.P.O.). Author contributions: A.N.H. and J.P.O. designed research; A.N.H. performed research; A.N.H. analyzed data; and A.N.H. and J.P.O. wrote the paper. The authors declare no conflict of interest. This article is a PNAS direct submission. This article contains supporting information online at
Funding AgencyGrant Number
Gimbel Discovery FundUNSPECIFIED
Gordon and Betty Moore FoundationUNSPECIFIED
Subject Keywords:anterior cingulate cortex; distributed encoding; prefrontal cortex
Issue or Number:4
PubMed Central ID:PMC1783089
Record Number:CaltechAUTHORS:20191025-161102914
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Official Citation:Decoding the neural substrates of reward-related decision making with functional MRI Alan N. Hampton, John P. O'Doherty Proceedings of the National Academy of Sciences Jan 2007, 104 (4) 1377-1382; DOI: 10.1073/pnas.0606297104
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99474
Deposited By: George Porter
Deposited On:28 Oct 2019 23:09
Last Modified:16 Nov 2021 17:46

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