Show simple item record

dc.contributorVirginia Tech
dc.contributor.authorKoshelev, Misha
dc.contributor.authorLohrenz, Terry
dc.contributor.authorVannucci, Marina
dc.contributor.authorMontague, P. Read
dc.date.accessioned2017-09-26T13:07:51Z
dc.date.available2017-09-26T13:07:51Z
dc.date.issued2010-10-21
dc.identifier.urihttp://hdl.handle.net/10919/79417
dc.description.abstractWe used a multi-round, two-party exchange game in which a healthy subject played a subject diagnosed with a DSM-IV (Diagnostic and Statistics Manual-IV) disorder, and applied a Bayesian clustering approach to the behavior exhibited by the healthy subject. The goal was to characterize quantitatively the style of play elicited in the healthy subject (the proposer) by their DSM-diagnosed partner (the responder). The approach exploits the dynamics of the behavior elicited in the healthy proposer as a biosensor for cognitive features that characterize the psychopathology group at the other side of the interaction. Using a large cohort of subjects (n = 574), we found statistically significant clustering of proposers’ behavior overlapping with a range of DSM-IV disorders including autism spectrum disorder, borderline personality disorder, attention deficit hyperactivity disorder, and major depressive disorder. To further validate these results, we developed a computer agent to replace the human subject in the proposer role (the biosensor) and show that it can also detect these same four DSM-defined disorders. These results suggest that the highly developed social sensitivities that humans bring to a two-party social exchange can be exploited and automated to detect important psychopathologies, using an interpersonal behavioral probe not directly related to the defining diagnostic criteria.
dc.language.isoen_US
dc.publisherPLOS
dc.titleBiosensor Approach to Psychopathology Classification
dc.typeArticle - Refereed
dc.title.serialPLOS Computational Biology
dc.identifier.doihttps://doi.org/10.1371/journal.pcbi.1000966.g001
dc.identifier.volume6
dc.identifier.issue10


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record