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Longitudinal changes in reinforcement learning during smoking cessation: a computational analysis using a probabilistic reward task.

Sci Rep · 2024 · PMC11688494 · PMID 39741189

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showed a trendp = 0.09so close (0.05 < p ≤ 0.1)
Finally, the relationship between craving and model’s parameters tended to be reversed at ABS30 when TCQ measures showed a trend towards a positive association with log(β reward ) and log(β punishment ) (Spearman’s r = 0.40, p = 0.09; Spearman’s r = 0.45, p = 0.053, respectively).

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