Format

Send to

Choose Destination
See comment in PubMed Commons below
PLoS Comput Biol. 2012;8(12):e1002841. doi: 10.1371/journal.pcbi.1002841. Epub 2012 Dec 27.

Computational phenotyping of two-person interactions reveals differential neural response to depth-of-thought.

Author information

1
Department of Neuroscience, Baylor College of Medicine, Houston, Texas, United States of America.

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.

PMID:
23300423
PMCID:
PMC3531325
DOI:
10.1371/journal.pcbi.1002841
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Public Library of Science Icon for PubMed Central
    Loading ...
    Support Center