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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Impaired Bayesian learning for cognitive control in cocaine dependence

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Autor(es):
Ide, Jaime S. [1, 2] ; Hu, Sien [1] ; Zhang, Sheng [1] ; Yu, Angela J. [3] ; Li, Chiang-shan R. [1, 4]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Yale Univ, Sch Med, Dept Psychiat, New Haven, CT 06519 - USA
[2] SUNY Stony Brook, Dept Biomed Engn, Stony Brook, NY 11794 - USA
[3] Univ Calif San Diego, Dept Cognit Sci, La Jolla, CA 92093 - USA
[4] Yale Univ, Sch Med, Dept Neurobiol, New Haven, CT 06520 - USA
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: DRUG AND ALCOHOL DEPENDENCE; v. 151, p. 220-227, JUN 1 2015.
Citações Web of Science: 9
Resumo

Background: Cocaine dependence is associated with cognitive control deficits. Here, we-apply a Bayesian model of stop-signal task (SST) performance to further characterize these deficits in a theory-driven framework. Methods: A ``sequential effect{''} is commonly observed in SST: encounters with a stop trial tend to prolong reaction time (RT) on subsequent go trials. The Bayesian model accounts for this by assuming that each stop/go trial increases/decreases the subject's belief about the likelihood of encountering a subsequent stop trial, P(stop), and that P(stop) strategically modulates RT accordingly. Parameters of the model were individually fit, and compared between cocaine-dependent (CD, n = 51) and healthy control (HC, n = 57) groups, matched in age and gender and both demonstrating a significant sequential effect (p <0.05). Model-free measures of sequential effect, post-error slowing (PES) and post-stop slowing (PSS), were also compared across groups. Results: By comparing individually fit Bayesian model parameters, CD were found to utilize a smaller time window of past experiences to anticipate P(stop) (p <0.003), as well as showing less behavioral adjustment in response to P(stop) (p <0.015). PES (p = 0.19) and PSS (p = 0.14) did not show group differences and were less correlated with the Bayesian account of sequential effect in CD than in HC. Conclusions: Cocaine dependence is associated with the utilization of less contextual information to anticipate future events and decreased behavioral adaptation in response to changes in such anticipation. These findings constitute a novel contribution by providing a computationally more refined and statistically more sensitive account of altered cognitive control in cocaine addiction. (C) 2015 Elsevier Ireland Ltd. All rights reserved. (AU)

Processo FAPESP: 11/08573-4 - Análise de conectividade funcional em pacientes com epilepsia farmacorresistente submetidos à cirurgia de epilepsia
Beneficiário:Jaime Shinsuke Ide
Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores