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dc.contributor.author
Hess, Leonardo Emanuel  
dc.contributor.author
Haimovici, Ariel  
dc.contributor.author
Muñoz, Miguel Angel  
dc.contributor.author
Montoya, Pedro  
dc.date.available
2019-09-25T21:49:47Z  
dc.date.issued
2014-08  
dc.identifier.citation
Hess, Leonardo Emanuel; Haimovici, Ariel; Muñoz, Miguel Angel ; Montoya, Pedro; Beyond pain: Modeling decision-making deficits in chronic pain; Frontiers Research Foundation; Frontiers in Behavioral Neuroscience; 8; AUG; 8-2014; 1-8  
dc.identifier.issn
1662-5153  
dc.identifier.uri
http://hdl.handle.net/11336/84493  
dc.description.abstract
Risky decision-making seems to be markedly disrupted in patients with chronic pain, probably due to the high cost that impose pain and negative mood on executive control functions. Patients' behavioral performance on decision-making tasks such as the Iowa Gambling Task (IGT) is characterized by selecting cards more frequently from disadvantageous than from advantageous decks, and by switching often between competing responses in comparison with healthy controls (HCs). In the present study, we developed a simple heuristic model to simulate individuals' choice behavior by varying the level of decision randomness and the importance given to gains and losses. The findings revealed that the model was able to differentiate the behavioral performance of patients with chronic pain and HCs at the group, as well as at the individual level. The best fit of the model in patients with chronic pain was yielded when decisions were not based on previous choices and when gains were considered more relevant than losses. By contrast, the best account of the available data in HCs was obtained when decisions were based on previous experiences and losses loomed larger than gains. In conclusion, our model seems to provide useful information to measure each individual participant extensively, and to deal with the data on a participant-by-participant basis.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Frontiers Research Foundation  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CHRONIC PAIN  
dc.subject
COGNITION  
dc.subject
DECISION-MAKING  
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EMOTION  
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MODELING  
dc.subject.classification
Psicología especial  
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Psicología  
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CIENCIAS SOCIALES  
dc.title
Beyond pain: Modeling decision-making deficits in chronic pain  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-09-24T12:52:20Z  
dc.journal.volume
8  
dc.journal.number
AUG  
dc.journal.pagination
1-8  
dc.journal.pais
Suiza  
dc.description.fil
Fil: Hess, Leonardo Emanuel. Universidad Nacional de Rosario. Facultad de Ciencias Médicas; Argentina  
dc.description.fil
Fil: Haimovici, Ariel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Muñoz, Miguel Angel. Universidad de las Islas Baleares; España. Universidad de Granada; España  
dc.description.fil
Fil: Montoya, Pedro. Universidad de las Islas Baleares; España  
dc.journal.title
Frontiers in Behavioral Neuroscience  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/fnbeh.2014.00263  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fnbeh.2014.00263/full