Department of Cognitive, Linguistic & Psychological, Brown University Sciences, Box 1821, 02912, Providence, RI, United States.
Department of Cognitive, Linguistic & Psychological, Brown University Sciences, Box 1821, 02912, Providence, RI, United States.
Dev Cogn Neurosci. 2019 Apr;36:100608. doi: 10.1016/j.dcn.2018.12.006. Epub 2018 Dec 13.
The brain is adapted to learn from interactions with the environment that predict or enable the procurement of rewards (Schultz, 2010). For infants, the main caregiver (often the mother) is most associated with primary biological rewards such as food and warmth, as well as the most likely provider of emotional and social rewards such as comfort and responsiveness. In this study we capitalize on the reward value of mother to examine reward learning mechanisms in infancy using multiple eye-tracking measures. Converging lines of research have demonstrated links between reward-related striatal dopamine activity and measurable changes in spontaneous eye-blink rate (EBR) and pupil dilation (Eckstein et al., 2017). We presented 7-month-old infants with video stimuli that parametrically increased in social-emotional value (male stranger, female stranger, mother) or in visual attention value (static image, slowed silent cartoon, dynamic cartoon). After establishing infants' baseline responses to these stimuli, we paired the videos with arbitrary shape cues in an associative learning task. Infants showed superior learning from their own mother's video and a heightened anticipatory arousal response to the mother-associated cue following learning. Both learning measures were predicted by infants' baseline EBR to their mother's video, providing the first evidence of reward learning and transfer in human infants.
大脑适应于通过与环境的相互作用进行学习,这些相互作用可以预测或实现奖励的获取(Schultz,2010)。对于婴儿来说,主要的照顾者(通常是母亲)与主要的生物奖励最相关,例如食物和温暖,同时也是情感和社会奖励的最有可能提供者,例如安慰和回应。在这项研究中,我们利用母亲的奖励价值,使用多种眼动追踪措施来研究婴儿期的奖励学习机制。一系列的研究表明,奖励相关的纹状体多巴胺活动与自发眨眼率(EBR)和瞳孔扩张(Eckstein 等人,2017)的可测量变化之间存在联系。我们向 7 个月大的婴儿展示了视频刺激,这些刺激在社会情感价值(陌生男性、陌生女性、母亲)或视觉注意力价值(静态图像、缓慢无声卡通、动态卡通)上呈参数增加。在确定了婴儿对这些刺激的基线反应后,我们在一个联想学习任务中,将视频与任意形状线索配对。婴儿从自己母亲的视频中表现出更好的学习效果,并且在学习后对与母亲相关的线索表现出更高的预期唤醒反应。这两个学习指标都可以通过婴儿对母亲视频的基线 EBR 来预测,这为人类婴儿的奖励学习和转移提供了第一个证据。