| Full text | |
| Author(s): |
Ide, Jaime S.
[1, 2]
;
Hu, Sien
[1]
;
Zhang, Sheng
[1]
;
Yu, Angela J.
[3]
;
Li, Chiang-shan R.
[1, 4]
Total Authors: 5
|
| Affiliation: | [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
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | DRUG AND ALCOHOL DEPENDENCE; v. 151, p. 220-227, JUN 1 2015. |
| Web of Science Citations: | 9 |
| Abstract | |
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) | |
| FAPESP's process: | 11/08573-4 - Functional connectivity analysis of drug-resistant epilepsy patients submitted to epilepsy surgery |
| Grantee: | Jaime Shinsuke Ide |
| Support Opportunities: | Research Grants - Young Investigators Grants |