School of Psychology, University of Birmingham, Birmingham, United Kingdom.
Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, United Kingdom.
PLoS Comput Biol. 2018 Jul 6;14(7):e1006304. doi: 10.1371/journal.pcbi.1006304. eCollection 2018 Jul.
Motor decision-making is an essential component of everyday life which requires weighing potential rewards and punishments against the probability of successfully executing an action. To achieve this, humans rely on two key mechanisms; a flexible, instrumental, value-dependent process and a hardwired, Pavlovian, value-independent process. In economic decision-making, age-related decline in risk taking is explained by reduced Pavlovian biases that promote action toward reward. Although healthy ageing has also been associated with decreased risk-taking in motor decision-making, it is currently unknown whether this is a result of changes in Pavlovian biases, instrumental processes or a combination of both. Using a newly established approach-avoidance computational model together with a novel app-based motor decision-making task, we measured sensitivity to reward and punishment when participants (n = 26,532) made a 'go/no-go' motor gamble based on their perceived ability to execute a complex action. We show that motor decision-making can be better explained by a model with both instrumental and Pavlovian parameters, and reveal age-related changes across punishment- and reward-based instrumental and Pavlovian processes. However, the most striking effect of ageing was a decrease in Pavlovian attraction towards rewards, which was associated with a reduction in optimality of choice behaviour. In a subset of participants who also played an independent economic decision-making task (n = 17,220), we found similar decision-making tendencies for motor and economic domains across a majority of age groups. Pavlovian biases, therefore, play an important role in not only explaining motor decision-making behaviour but also the changes which occur through normal ageing. This provides a deeper understanding of the mechanisms which shape motor decision-making across the lifespan.
运动决策是日常生活的重要组成部分,需要权衡潜在的奖励和惩罚,以及成功执行行动的概率。为了实现这一目标,人类依赖于两个关键机制;灵活的、工具性的、依赖价值的过程和固定的、巴甫洛夫的、不依赖价值的过程。在经济决策中,年龄相关的冒险行为减少可以用减少促进奖励导向行动的巴甫洛夫偏见来解释。尽管健康的衰老也与运动决策中的冒险行为减少有关,但目前尚不清楚这是否是由于巴甫洛夫偏见、工具性过程或两者的组合发生变化所致。使用新建立的回避-接近计算模型和一种基于新型应用程序的运动决策任务,我们在参与者(n = 26532)根据他们对执行复杂动作的能力感知进行“走/停”运动赌博时,测量了对奖励和惩罚的敏感性。我们表明,运动决策可以通过具有工具性和巴甫洛夫参数的模型更好地解释,并揭示了基于惩罚和奖励的工具性和巴甫洛夫过程的年龄相关变化。然而,衰老最显著的影响是对奖励的巴甫洛夫吸引力下降,这与选择行为的最优性降低有关。在一组也玩独立经济决策任务的参与者中(n = 17220),我们发现大多数年龄组的运动和经济领域的决策倾向相似。因此,巴甫洛夫偏见不仅在解释运动决策行为方面起着重要作用,而且在正常衰老过程中也会发生变化。这提供了对塑造整个生命周期运动决策的机制的更深入理解。