Corticoinsular circuits encode subjective value expectation and violation for effortful goal-directed behavior.

Corticoinsular circuits encode subjective value expectation and violation for effortful goal-directed behavior.
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DOI:
10.1073/pnas.1800444115
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发表时间:
2018-05-29
影响因子:
11.1
通讯作者:
Treadway MT
Treadway MT
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Arulpragasam AR;Cooper JA;Nuutinen MR;Treadway MT

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形成价值估计的能力对于最优决策至关重要,特别是当选择选项的所有特征都不知道时。然而,迄今为止,不完全信息条件下期望过程的神经机制是未知的。使用计算功能磁共振成像,我们表明,腹内侧前额叶皮层编码的预期值的审判。我们还观察到一个由背侧前扣带回、前岛叶和背内侧尾状核组成的独特网络,根据之前的试验历史,该网络编码预期违反或预测错误信号。这些发现突出了大脑如何计算和监控基于价值的预测在努力的目标导向行为时,选择相关的信息是不完全可用的。我们每天都面临着如何努力实现目标的选择。至关重要的是,这些决策往往必须在信息不完全的情况下做出,在这种情况下,所需的努力或可能获得的回报都是不确定的。因此,这样的选择需要发展潜在的价值估计,以指导努力的目标导向行为。然而,迄今为止,这种期望过程的神经机制尚不清楚。在这里,我们在基于努力的决策任务中使用了计算功能磁共振成像,其中关于努力成本和奖励幅度的试验信息随着时间的推移分别呈现,从而使我们能够在选择相关信息展开时对不同的努力/奖励计算进行建模。我们发现,腹内侧前额叶皮层(vmPFC)编码预期的主观价值。此外,背侧前扣带(dACC)和前扣带(ACC)的活动反映了努力折扣以及来自试验历史的主观价值预测误差信号。虽然先前的研究已经确定这些区域参与基于努力的决策,这些数据表明,它们在形成和维护主观价值估计的特定作用,因为相关信息变得可用。
The ability to form value estimates is crucial for optimal decision making, especially when not all features of a choice option are known. To date, however, the neural mechanisms for expectation processes under conditions of incomplete information are unknown. Using computational fMRI, we show that ventromedial prefrontal cortex encodes the expected value of a trial. We also observe a distinct network composed of dorsal anterior cingulate, anterior insula, and dorsomedial caudate that encodes an expectation violation or prediction error signal, based on previous trial history. These findings highlight how the brain computes and monitors value-based predictions during effortful goal-directed behavior when choice-relevant information is not fully available. We are presented with choices each day about how to invest our effort to achieve our goals. Critically, these decisions must frequently be made under conditions of incomplete information, where either the effort required or possible reward to be gained is uncertain. Such choices therefore require the development of potential value estimates to guide effortful goal-directed behavior. To date, however, the neural mechanisms for this expectation process are unknown. Here, we used computational fMRI during an effort-based decision-making task where trial-wise information about effort costs and reward magnitudes was presented separately over time, thereby allowing us to model distinct effort/reward computations as choice-relevant information unfolded. We found that ventromedial prefrontal cortex (vmPFC) encoded expected subjective value. Further, activity in dorsal anterior cingulate (dACC) and anterior insula (aI) reflected both effort discounting as well as a subjective value prediction error signal derived from trial history. While prior studies have identified these regions as being involved in effort-based decision making, these data demonstrate their specific role in the formation and maintenance of subjective value estimates as relevant information becomes available.
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期刊: Nature reviews. Neuroscience
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