The influences and neural correlates of past and present during gambling in humans.
The influences and neural correlates of past and present during gambling in humans.
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DOI：
10.1038/s41598-017-16862-9
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发表时间：
2017-12-07
影响因子：
4.6
通讯作者：
Gale JT
中科院分区：
文献类型：
--
作者：
Sacré P;Subramanian S;Kerr MSD;Kahn K;Johnson MA;Bulacio J;González-Martínez JA;Sarma SV;Gale JT
在财务决策任务中，人类通常会做出“理性”的决策，使预期回报最大化。然而，这种理性可能会与反映过去结果的偏见相竞争。也就是说，如果一个人只是输了钱或赢了钱，这可能会影响未来的决定。目前还不清楚过去的结果如何影响人类未来的决定，以及神经回路如何编码现在和过去的信息。在这项研究中，六名人类受试者执行了一项金融决策任务，同时我们记录了多个大脑结构的局部场电位。我们为每个受试者构建了一个模型，将每次试验的赌注描述为当前和过去信息的函数。这些模型表明，一些患者更受先前试验结果的影响（即，以前的回报和风险）比其他人坚持更固定的决策策略。此外，过去收益和现在风险分别受楔叶活动的影响，而现在收益和过去风险分别受上级颞回和角回活动的影响。我们的研究结果表明，这些结构通过将预测和风险纳入人类的决策策略，在决策中发挥了超越其经典功能的作用，并为人类如何将其内部偏见与决策联系起来提供了新的见解。
During financial decision-making tasks, humans often make “rational” decisions, where they maximize expected reward. However, this rationality may compete with a bias that reflects past outcomes. That is, if one just lost money or won money, this may impact future decisions. It is unclear how past outcomes influence future decisions in humans, and how neural circuits encode present and past information. In this study, six human subjects performed a financial decision-making task while we recorded local field potentials from multiple brain structures. We constructed a model for each subject characterizing bets on each trial as a function of present and past information. The models suggest that some patients are more influenced by previous trial outcomes (i.e., previous return and risk) than others who stick to more fixed decision strategies. In addition, past return and present risk modulated with the activity in the cuneus; while present return and past risk modulated with the activity in the superior temporal gyrus and the angular gyrus, respectively. Our findings suggest that these structures play a role in decision-making beyond their classical functions by incorporating predictions and risks in humans’ decision strategy, and provide new insight into how humans link their internal biases to decisions.
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影响因子：
2.5
作者：
Grossman, M;Cooke, A;Gee, J
通讯作者：
Gee, J
影响因子：
3
作者：
Asaad, Wael F.;Eskandar, Emad N.
通讯作者：
Eskandar, Emad N.
影响因子：
5.7
作者：
Kircher, TTJ;Brammer, MJ;McGuire, PK
通讯作者：
McGuire, PK
影响因子：
4.1
作者：
Haldane, Morgan;Cunningham, Giles;Frangou, Sophia
通讯作者：
Frangou, Sophia
DOI：
10.1073/pnas.1104047108
发表时间：
2011-06-21
影响因子：
11.1
作者：
Anderson, Brian A.;Laurent, Patryk A.;Yantis, Steven
通讯作者：
Yantis, Steven