Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
J Neurosci. 2011 Sep 7;31(36):12816-22. doi: 10.1523/JNEUROSCI.0461-11.2011.
We investigated how rapidly the reward-predicting properties of visual cues are signaled in the human brain and the extent these reward prediction signals are contextually modifiable. In a magnetoencephalography study, we presented participants with fractal visual cues that predicted monetary rewards with different probabilities. These cues were presented in the temporal context of a preceding novel or familiar image of a natural scene. Starting at ∼100 ms after cue onset, reward probability was signaled in the event-related fields (ERFs) over temporo-occipital sensors and in the power of theta (5-8 Hz) and beta (20-30 Hz) band oscillations over frontal sensors. While theta decreased with reward probability beta power showed the opposite effect. Thus, in humans anticipatory reward responses are generated rapidly, within 100 ms after the onset of reward-predicting cues, which is similar to the timing established in non-human primates. Contextual novelty enhanced the reward anticipation responses in both ERFs and in beta oscillations starting at ∼100 ms after cue onset. This very early context effect is compatible with a physiological model that invokes the mediation of a hippocampal-VTA loop according to which novelty modulates neural response properties within the reward circuitry. We conclude that the neural processing of cues that predict future rewards is temporally highly efficient and contextually modifiable.
我们研究了视觉线索的奖励预测属性在人类大脑中是如何快速传递的,以及这些奖励预测信号在多大程度上可以根据上下文进行调整。在一项脑磁图研究中,我们向参与者展示了分形视觉线索,这些线索以不同的概率预测金钱奖励。这些线索在先前呈现的自然场景的新颖或熟悉图像的时间背景下呈现。从线索出现后约 100 毫秒开始,奖励概率在时相关场(ERFs)中在颞枕部传感器上和在θ(5-8 Hz)和β(20-30 Hz)频段振荡的功率上进行信号传递。虽然θ随奖励概率的降低而降低,但β功率显示出相反的效果。因此,在人类中,预期的奖励反应在奖励预测线索出现后 100 毫秒内迅速产生,这与在非人类灵长类动物中建立的时间相同。上下文新颖性增强了 ERFs 和β振荡中的奖励预期反应,从线索出现后约 100 毫秒开始。这种非常早期的上下文效应与一种生理模型兼容,该模型根据新颖性调节奖励电路中的神经反应特性来调用海马体-VTA 回路的介导。我们得出结论,预测未来奖励的线索的神经处理在时间上非常高效且可以根据上下文进行调整。