12 research outputs found

    Multinomial regression models testing the association between trait and cognitive impulsivity and smoking cessation treatment dropout and relapse at the 3-month, 6-month and 12-month endpoints.

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    <p>*p&lt;0.05. DDT, Delay Discounting Task; GNG, Go No-Go Task; IGT, Iowa Gambling Task.</p><p>Multinomial regression models testing the association between trait and cognitive impulsivity and smoking cessation treatment dropout and relapse at the 3-month, 6-month and 12-month endpoints.</p

    Baseline demographic and variables related to cigarette smoking of the participants classified in each of these categories (dropout versus relapse versus abstinence).

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    <p>Baseline demographic and variables related to cigarette smoking of the participants classified in each of these categories (dropout versus relapse versus abstinence).</p

    Multinomial regression models testing the association between TCI temperament dimensions and smoking cessation treatment dropout and relapse at the 3-month, 6-month and 12-month endpoints.

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    <p>*p&lt;0.05.</p><p>Multinomial regression models testing the association between TCI temperament dimensions and smoking cessation treatment dropout and relapse at the 3-month, 6-month and 12-month endpoints.</p

    Behavioral results.

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    <p>Left panel: Mean causal judgments across the four 64-trial blocks, for the two uncertainty conditions (MaxU; MidU). Right panel: Probability of a positive prediction (“the outcome will occur”) in the presence and the absence of the cue, averaged across trials, for each 32-trial sub-block and the two uncertainty conditions. Error bars denote standard errors of the mean.</p

    Fitting-quality parameters, for the models of co-activation identified by SEM analysis<sup>1</sup>, and the two uncertainty conditions.

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    1<p>NPAR, number of parameters in the model,;AIC, Akaike Information Criterion; CMIN, Chi-square; NFI, (Bentler-Bonett) normed fit index; PNFI, parsimony normed fit index; RMSEA, root mean square error of approximation.</p

    Graphical depiction of SEM results: brain networks for uncertainty and expectancy.

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    <p>Best-fitting models accounting for co-activation in the MaxU (top panel) and the MinU (bottom panel) conditions, according to the structural equation model (SEM) analysis. All the solid arrows are significant at <i>p</i><.03. Dashed arrows, Model 1 <i>p</i> = .08, Model 2 <i>p</i> = .18.</p

    Brain locations in which current source density was significantly correlated (<i>R</i><sup>2</sup>) with SPN-Outcome score, at least in one of the two uncertainty conditions (MaxU, MinU).

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    <p>Note: *<i>p</i><.05. BA: Brodmann area. X, Y, and Z coordinates are in MNI space for the voxel with the maximal relationship with SPN-Outcome score (<i>R</i><sup>2</sup>). k is the cluster size in voxels.</p
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