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PNAS Plus: Disentangling pleasure from incentive salience and learning signals in brain reward circuitry

机译:PNAS Plus:从奖励机制和大脑奖励电路中的学习信号中解脱出来的乐趣

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摘要

Multiple signals for reward—hedonic impact, motivation, and learned associative prediction—are funneled through brain mesocorticolimbic circuits involving the nucleus accumbens and ventral pallidum. Here, we show how the hedonic “liking” and motivation “wanting” signals for a sweet reward are distinctly modulated and tracked in this circuit separately from signals for Pavlovian predictions (learning). Animals first learned to associate a fixed sequence of Pavlovian cues with sucrose reward. Subsequent intraaccumbens microinjections of an opioid-stimulating drug increased the hedonic liking impact of sucrose in behavior and firing signals of ventral pallidum neurons, and likewise, they increased incentive salience signals in firing to the reward-proximal incentive cue (but did not alter firing signals to the learned prediction value of a reward-distal cue). Microinjection of a dopamine-stimulating drug instead enhanced only the motivation component but did not alter hedonic impact or learned prediction signals. Different dedicated neuronal subpopulations in the ventral pallidum tracked signal enhancements for hedonic impact vs. incentive salience, and a faster firing pattern also distinguished incentive signals from slower hedonic signals, even for a third overlapping population. These results reveal separate neural representations of wanting, liking, and prediction components of the same reward within the nucleus accumbens to ventral pallidum segment of mesocorticolimbic circuitry.
机译:通过涉及伏伏核和腹侧苍白球的大脑中皮质皮质回路,汇集了多种奖励信号-享乐主义的影响力,动机和学习的联想预测。在这里,我们展示了如何在享乐中将享乐的“喜欢”和动机“想要”信号与用于巴甫洛夫式预测(学习)的信号分开进行调制和跟踪。动物首先学会了将固定序列的巴甫洛夫线索与蔗糖奖励相关联。随后对阿片类药物的镇痛剂微注射增加了蔗糖在腹侧苍白神经元行为和放电信号中的享乐主义喜好影响,同样,它们在激发至奖励近端激励线索时增加了激励显着信号(但未改变触发信号)奖励的远程提示的预测值)。微注射多巴胺刺激药物反而仅增强了动机成分,但没有改变享乐影响或学习到的预测信号。腹侧苍白球中不同的专用神经元亚群跟踪享乐影响与激励显着性之间的信号增强,并且较快的发射模式也将激励信号与较慢的享乐信号区分开,即使对于第三个重叠人群也是如此。这些结果揭示了在伏隔核至中皮层皮质回路的腹侧苍白节节段内,相同奖励的缺乏,喜好和预测成分的独立神经表示。

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