Separate Neural Networks for Gains and Losses in Intertemporal Choice.
Separate Neural Networks for Gains and Losses in Intertemporal Choice.
复制标题
跨期选择中收益和损失的独立神经网络
DOI：
10.1007/s12264-018-0267-x
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发表时间：
2018-10
影响因子：
5.6
通讯作者：
Jiang T
中科院分区：
文献类型：
--
作者：
Zhang YY;Xu L;Liang ZY;Wang K;Hou B;Zhou Y;Li S;Jiang T
一个重要但尚未解决的问题是，人类大脑区域如何处理信息，并在与得失相关的跨期选择中相互作用。利用心理生理相互作用和动态因果模型分析，我们研究了参与者在进行时间折现任务时，在收益和损失域参与决策过程的区域之间的功能相互作用。我们发现了两种不同的内在评估系统，这两种内在评估系统在获得和失去的区域中存在时间折扣：获得在内侧区域被特别评估，包括内侧前额叶皮层和眶额叶皮层，而损失在外侧背外侧前额叶皮层被评估。此外，即时奖励或惩罚被发现可以调节背外侧前额叶皮层与不同区域之间的功能相互作用，包括增益区域和损失区域：在增益区域，中边缘区域；在损失区域，内侧前额叶皮层，前扣带皮层和脑岛。这些发现表明，得与失的跨期选择可能涉及不同的评估系统，更重要的是，不同的神经相互作用可能实现得与失的跨期选择。这些发现可能为理解跨期得失选择背后的神经机制提供新的生物学视角。
An important and unresolved question is how human brain regions process information and interact with each other in intertemporal choice related to gains and losses. Using psychophysiological interaction and dynamic causal modeling analyses, we investigated the functional interactions between regions involved in the decision-making process while participants performed temporal discounting tasks in both the gains and losses domains. We found two distinct intrinsic valuation systems underlying temporal discounting in the gains and losses domains: gains were specifically evaluated in the medial regions, including the medial prefrontal and orbitofrontal cortices, and losses were evaluated in the lateral dorsolateral prefrontal cortex. In addition, immediate reward or punishment was found to modulate the functional interactions between the dorsolateral prefrontal cortex and distinct regions in both the gains and losses domains: in the gains domain, the mesolimbic regions; in the losses domain, the medial prefrontal cortex, anterior cingulate cortex, and insula. These findings suggest that intertemporal choice of gains and losses might involve distinct valuation systems, and more importantly, separate neural interactions may implement the intertemporal choices of gains and losses. These findings may provide a new biological perspective for understanding the neural mechanisms underlying intertemporal choice of gains and losses.
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