Adolescent reinforcement-learning trajectories predict cocaine-taking behaviors in adult male and female rats.
Adolescent reinforcement-learning trajectories predict cocaine-taking behaviors in adult male and female rats.
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DOI:
10.1007/s00213-022-06174-w
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发表时间:
2022-09
影响因子:
3.4
通讯作者:
Groman, Stephanie M.
中科院分区:
文献类型:
--
作者:
Villiamma, Peroushini;Casby, Jordan;Groman, Stephanie M.
The anatomical, structural, and functional adaptations that occur in the brain during adolescence are thought to facilitate improvements in decision-making functions that are known to occur during this stage of development. The mechanisms that underlie these neural adaptations are not known, but deviations in developmental trajectories have been proposed to contribute to the emergence of mental illness, including addiction. Direct evidence supporting this hypothesis, however, has been limited. Here, we used a recently developed reversal-learning protocol to investigate the predictive relationship between adolescent decision-making trajectories and cocaine-taking behaviors in adulthood. Decision-making functions in the reversal-learning task were assessed throughout adolescence and into adulthood in male and female Long–Evans rats. Trial-by-trial choice data was fitted with a reinforcement-learning model to quantify the degree to which choice behavior of individual rats was influenced by rewarded (e.g., parameter) and unrewarded (e.g., parameter) outcomes. We report that reversal-learning performance improved during adolescence and that this was due to an increase in value updating for rewarded outcomes (e.g., parameter). Furthermore, the rate of change in the parameter predicted individual differences in the parameter and, notably, cocaine-taking behaviors in adulthood: Rats that had a shallower adolescent trajectory were found to have a lower parameter and greater cocaine self-administration in adulthood. These data indicate that adolescent development plays a critical role in drug use susceptibility. Future studies aimed at understanding the neurobiological mechanisms that underlie these age-related changes in decision-making could provide new insights into the biobehavioral mechanisms mediating addiction susceptibility.
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影响因子:
10.6
作者:
Groman, Stephanie M.;Massi, Bart;Taylor, Jane R.
通讯作者:
Taylor, Jane R.
影响因子:
4.8
作者:
Karlsgodt KH;John M;Ikuta T;Rigoard P;Peters BD;Derosse P;Malhotra AK;Szeszko PR
通讯作者:
Szeszko PR
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
9.5
作者:
Ballinger, GA
通讯作者:
Ballinger, GA
影响因子:
16.2
作者:
Groman, Stephanie M.;Keistler, Colby;Taylor, Jane R.
通讯作者:
Taylor, Jane R.