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Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought

Xiang, Ting and Ray, Debajyoti and Lohrenz, Terry and Dayan, Peter and Montague, P. Read (2012) Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought. PLOS Computational Biology, 8 (12). Art. No. e1002841. ISSN 1553-7358. PMCID PMC3531325. https://resolver.caltech.edu/CaltechAUTHORS:20200213-134401151

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Abstract

Reciprocating exchange with other humans requires individuals to infer the intentions of their partners. Despite the importance of this ability in healthy cognition and its impact in disease, the dimensions employed and computations involved in such inferences are not clear. We used a computational theory-of-mind model to classify styles of interaction in 195 pairs of subjects playing a multi-round economic exchange game. This classification produces an estimate of a subject's depth-of-thought in the game (low, medium, high), a parameter that governs the richness of the models they build of their partner. Subjects in each category showed distinct neural correlates of learning signals associated with different depths-of-thought. The model also detected differences in depth-of-thought between two groups of healthy subjects: one playing patients with psychiatric disease and the other playing healthy controls. The neural response categories identified by this computational characterization of theory-of-mind may yield objective biomarkers useful in the identification and characterization of pathologies that perturb the capacity to model and interact with other humans.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1371/journal.pcbi.1002841DOIArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531325PubMed CentralArticle
https://doi.org/10.1371/journal.pcbi.1002841.s001DOIFigure S1
https://doi.org/10.1371/journal.pcbi.1002841.s002DOIFigure S2
https://doi.org/10.1371/journal.pcbi.1002841.s003DOITable S1
https://doi.org/10.1371/journal.pcbi.1002841.s004DOITable S2
https://doi.org/10.1371/journal.pcbi.1002841.s005DOITable S3
https://doi.org/10.1371/journal.pcbi.1002841.s006DOITable S4
https://doi.org/10.1371/journal.pcbi.1002841.s007DOIText S1
ORCID:
AuthorORCID
Dayan, Peter0000-0003-3476-1839
Additional Information:© 2012 Xiang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Received June 12, 2012; Accepted October 31, 2012; Published December 27, 2012. This work was supported by a Wellcome Trust Principal Research Fellowship (PRM), The Kane Family Foundation (PRM), NIDA grant R01DA11723 (PRM), NIMH grant R01MH085496 (PRM), NIA grant RC4AG039067 (PRM), and The Gatsby Charitable Foundation (DR, PD). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors have declared that no competing interests exist. Author Contributions: Conceived and designed the experiments: TX DR TL PD PRM. Performed the experiments: TX DR TL PD PRM. Analyzed the data: TX DR TL PD PRM. Contributed reagents/materials/analysis tools: TX DR TL PD PRM. Wrote the paper: TX DR TL PD PRM.
Funders:
Funding AgencyGrant Number
Wellcome TrustUNSPECIFIED
Kane Family FoundationUNSPECIFIED
NIHR01DA11723
NIHR01MH085496
NIHRC4AG039067
Gatsby Charitable FoundationUNSPECIFIED
Issue or Number:12
PubMed Central ID:PMC3531325
Record Number:CaltechAUTHORS:20200213-134401151
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200213-134401151
Official Citation:Xiang T, Ray D, Lohrenz T, Dayan P, Montague PR (2012) Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought. PLoS Comput Biol 8(12): e1002841. doi:10.1371/journal.pcbi.1002841
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:101278
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:13 Feb 2020 21:58
Last Modified:13 Feb 2020 21:58

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