Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK.
Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Nat Commun. 2023 Sep 14;14(1):5689. doi: 10.1038/s41467-023-41124-w.
Theoretical and empirical accounts suggest that adolescence is associated with heightened reward learning and impulsivity. Experimental tasks and computational models that can dissociate reward learning from the tendency to initiate actions impulsively (action initiation bias) are thus critical to characterise the mechanisms that drive developmental differences. However, existing work has rarely quantified both learning ability and action initiation, or it has relied on small samples. Here, using computational modelling of a learning task collected from a large sample (N = 742, 9-18 years, 11 countries), we test differences in reward and punishment learning and action initiation from childhood to adolescence. Computational modelling reveals that whilst punishment learning rates increase with age, reward learning remains stable. In parallel, action initiation biases decrease with age. Results are similar when considering pubertal stage instead of chronological age. We conclude that heightened reward responsivity in adolescence can reflect differences in action initiation rather than enhanced reward learning.
理论和经验表明,青少年时期与更高的奖励学习和冲动性有关。因此,能够将奖励学习与冲动地开始行动的倾向(行动启动偏差)区分开来的实验任务和计算模型对于描述驱动发展差异的机制至关重要。然而,现有工作很少量化学习能力和行动启动,或者依赖于小样本。在这里,我们使用从大样本(N=742,9-18 岁,11 个国家)中收集的学习任务的计算模型来测试从儿童期到青春期的奖励和惩罚学习以及行动启动的差异。计算模型表明,虽然惩罚学习速度随年龄增长而增加,但奖励学习保持稳定。同时,行动启动偏差随年龄减小。当考虑青春期阶段而不是实际年龄时,结果相似。我们的结论是,青少年时期的高奖励反应性可能反映了行动启动的差异,而不是增强的奖励学习。