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PLoS One. 2013 Aug 7;8(8):e68962. doi: 10.1371/journal.pone.0068962. eCollection 2013.

Computational modeling reveals distinct effects of HIV and history of drug use on decision-making processes in women.

Author information

1
Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois, United States of America. jvassileva@psych.uic.edu

Erratum in

  • PLoS One. 2013;8(9). doi:10.1371/annotation/5a8e6fe0-623c-4d17-8781-9a0eadf67a43.

Abstract

OBJECTIVE:

Drug users and HIV-seropositive individuals often show deficits in decision-making; however the nature of these deficits is not well understood. Recent studies have employed computational modeling approaches to disentangle the psychological processes involved in decision-making. Although such approaches have been used successfully with a number of clinical groups including drug users, no study to date has used computational modeling to examine the effects of HIV on decision-making. In this study, we use this approach to investigate the effects of HIV and drug use on decision-making processes in women, who remain a relatively understudied population.

METHOD:

Fifty-seven women enrolled in the Women's Interagency HIV Study (WIHS) were classified into one of four groups based on their HIV status and history of crack cocaine and/or heroin drug use (DU): HIV+/DU+ (n = 14); HIV+/DU- (n = 17); HIV-/DU+ (n = 14); and HIV-/DU- (n = 12). We measured decision-making with the Iowa Gambling Task (IGT) and examined behavioral performance and model parameters derived from the best-fitting computational model of the IGT.

RESULTS:

Although groups showed similar behavioral performance, HIV and DU exhibited differential relationship to model parameters. Specifically, DU was associated with compromised learning/memory and reduced loss aversion, whereas HIV was associated with reduced loss aversion, but was not related to other model parameters.

CONCLUSIONS:

Results reveal that HIV and DU have differential associations with distinct decision-making processes in women. This study contributes to a growing line of literature which shows that different psychological processes may underlie similar behavioral performance in various clinical groups and may be associated with distinct functional outcomes.

PMID:
23950880
PMCID:
PMC3737214
DOI:
10.1371/journal.pone.0068962
[Indexed for MEDLINE]
Free PMC Article
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