Gao Zilong, Wang Hanqing, Lu Chen, Lu Tiezhan, Froudist-Walsh Sean, Chen Ming, Wang Xiao-Jing, Hu Ji, Sun Wenzhi
Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
Chinese Institute for Brain Research, Beijing 102206, China.
Sci Adv. 2021 Dec 3;7(49):eabg6611. doi: 10.1126/sciadv.abg6611. Epub 2021 Dec 1.
Balancing instant gratification versus delayed but better gratification is important for optimizing survival and reproductive success. Although delayed gratification has been studied through human psychological and brain activity monitoring and animal research, little is known about its neural basis. We successfully trained mice to perform a waiting-for-water-reward delayed gratification task and used these animals in physiological recording and optical manipulation of neuronal activity during the task to explore its neural basis. Our results showed that the activity of dopaminergic (DAergic) neurons in the ventral tegmental area increases steadily during the waiting period. Optical activation or silencing of these neurons, respectively, extends or reduces the duration of waiting. To interpret these data, we developed a reinforcement learning model that reproduces our experimental observations. Steady increases in DAergic activity signal the value of waiting and support the hypothesis that delayed gratification involves real-time deliberation.
平衡即时满足与延迟但更好的满足对于优化生存和繁殖成功率很重要。尽管通过人类心理和大脑活动监测以及动物研究对延迟满足进行了研究,但其神经基础仍知之甚少。我们成功训练小鼠执行等待水奖励的延迟满足任务,并在任务期间对这些动物进行生理记录和神经元活动的光学操纵,以探索其神经基础。我们的结果表明,腹侧被盖区多巴胺能(DAergic)神经元的活动在等待期间稳步增加。对这些神经元进行光学激活或沉默,分别会延长或缩短等待时间。为了解释这些数据,我们开发了一个强化学习模型,该模型再现了我们的实验观察结果。多巴胺能活动的稳步增加表明等待的价值,并支持延迟满足涉及实时权衡的假设。