2022
DOI: 10.1007/s00213-022-06174-w
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Adolescent reinforcement-learning trajectories predict cocaine-taking behaviors in adult male and female rats

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Cited by 6 publications
(8 citation statements)
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“…Poor decision-making observed in female rats in the current study was surprising given that our previous studies examining decision-making functions across adolescent development in the rat have not observed decision-making differences between males and females (Moin Afshar et al, 2020; Villiamma et al, 2022). Sex differences in decision-making might, therefore, emerge during early adulthood when prefrontal circuits have stabilized (Casey et al, 2000; Galvan et al, 2006).…”
Section: Discussioncontrasting
confidence: 57%
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“…Poor decision-making observed in female rats in the current study was surprising given that our previous studies examining decision-making functions across adolescent development in the rat have not observed decision-making differences between males and females (Moin Afshar et al, 2020; Villiamma et al, 2022). Sex differences in decision-making might, therefore, emerge during early adulthood when prefrontal circuits have stabilized (Casey et al, 2000; Galvan et al, 2006).…”
Section: Discussioncontrasting
confidence: 57%
“…Choice behavior collected from rats in the PRL task was analyzed with a differential forgetting reinforcement-learning model (Barraclough et al, 2004;Ito and Doya, 2009;Groman et al, 2019a), which captures gradually decaying effects of previous choices and outcomes on choices. This model was found to fit the choice behavior of rats significantly better than other reinforcement-learning models (see Supplemental methods and Supplemental Table 1), as we have previously shown (Groman et al, 2020;Moin Afshar et al, 2022;Villiamma et al, 2022). This reinforcement-learning model contains four free parameters: a decay rate for the action values of chosen options (γ C ), a decay rate for the action values of unchosen options (γ U ), a parameter for the appetitive strength of rewarded outcomes (Δ + ), and a parameter for the aversive strength of unrewarded outcomes (Δ 0 ).…”
Section: Reinforcement-learning Modelmentioning
confidence: 79%
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“…The ability to make flexible decisions is substantially altered by chronic ethanol (EtOH) use and dependence across species, impairing goal-directed behavior while enhancing habitual or stimulus-oriented behavior [1][2][3][4][5][6][7] . Low cognitive flexibility may contribute to future escalation of substance use [8][9][10] , including EtOH intake in both rodents and primates [11][12][13][14] , and in heightening the risk of relapse to alcohol use in humans 15,16 .…”
Section: Introductionmentioning
confidence: 99%
“…These findings highlight the profound impact of chronic EtOH exposure on adaptive decision-making, pinpointing specific changes in striatal representations of actions and outcomes as underlying mechanisms for cognitive deficits. 10 , including EtOH intake in both rodents and primates [11][12][13][14] and in heightening the risk of relapse to alcohol use in humans 15,16 .Cognitive flexibility, evaluated through reversal learning tasks 17,18 , involves learning beneficial choice and adapting to new action-outcome contingencies. Although the cognitive and neural mechanisms underlying chronic EtOH-induced reversal deficits are not yet fully understood, studies in humans have shown persistent disruption of reversal learning during protracted withdrawal from EtOH drinking [19][20][21][22] .…”
mentioning
confidence: 99%