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Neural correlates of mentalizing-related computations during strategic interactions in humans

Hampton, Alan N. and Bossaerts, Peter and O'Doherty, John P. (2008) Neural correlates of mentalizing-related computations during strategic interactions in humans. Proceedings of the National Academy of Sciences of the United States of America, 105 (18). pp. 6741-6746. ISSN 0027-8424. PMCID PMC2373314. http://resolver.caltech.edu/CaltechAUTHORS:HAMpnas08

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Abstract

Competing successfully against an intelligent adversary requires the ability to mentalize an opponent's state of mind to anticipate his/her future behavior. Although much is known about what brain regions are activated during mentalizing, the question of how this function is implemented has received little attention to date. Here we formulated a computational model describing the capacity to mentalize in games. We scanned human subjects with functional MRI while they participated in a simple two-player strategy game and correlated our model against the functional MRI data. Different model components captured activity in distinct parts of the mentalizing network. While medial prefrontal cortex tracked an individual's expectations given the degree of model-predicted influence, posterior superior temporal sulcus was found to correspond to an influence update signal, capturing the difference between expected and actual influence exerted. These results suggest dissociable contributions of different parts of the mentalizing network to the computations underlying higher-order strategizing in humans.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1073/pnas.0711099105DOIArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2373314/PubMed CentralArticle
ORCID:
AuthorORCID
Bossaerts, Peter0000-0003-2308-2603
Additional Information:© 2008 by the National Academy of Sciences. Edited by Edward E. Smith, Columbia University, New York, NY, and approved February 20, 2008 (received for review November 22, 2007). Published online before print April 21, 2008. This article is a PNAS Direct Submission. J.P.O. was supported by grants from the Gimbel Discovery Fund in Neuroscience, the Gordon and Betty Moore Foundation, and a Searle Scholarship. P.B. was supported by the Swiss Finance Institute. Author contributions: A.N.H., P.B., and J.P.O. designed research; A.N.H. performed research; A.N.H. analyzed data; and A.N.H., P.B., and J.P.O. wrote the paper. The authors declare no conflict of interest. This article contains supporting information online at www.pnas.org/cgi/content/full/0711099105/DCSupplemental.
Funders:
Funding AgencyGrant Number
Gimbel Discovery Fund in NeuroscienceUNSPECIFIED
Gordon and Betty Moore FoundationUNSPECIFIED
Searle Scholars ProgramUNSPECIFIED
Swiss Finance InstituteUNSPECIFIED
Subject Keywords:computational modeling; decision making; functional MRI; neuroeconomics
Issue or Number:18
PubMed Central ID:PMC2373314
Record Number:CaltechAUTHORS:HAMpnas08
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:HAMpnas08
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:11185
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:23 Jul 2008 04:43
Last Modified:19 Oct 2018 20:18

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