Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany.
Neuroimage. 2012 Nov 15;63(3):1614-22. doi: 10.1016/j.neuroimage.2012.08.046. Epub 2012 Aug 23.
Converging evidence suggests that visual brain regions are part of a widespread network that signals forthcoming reward. However, the precise temporal dynamics underlying the interaction between reward and visual information processing remain unclear. To further investigate this issue, we used magnetoencephalography (MEG) in combination with two versions of a face/scene discrimination task followed by a recognition memory test. In experiment 1, the distinction between faces and scenes was associated with monetary reward prospect, whereas in experiment 2 subjects distinguished between both categories in the absence of reward. In both experiments characteristic neural category effects (i.e., differences between faces and scenes) were observed in the event-related magnetic fields (ERF) at 100 ms (M100) and ~170 ms (M170) after stimulus onset. Importantly, both ERF components (M100 and M170) were amplified in the context of reward (i.e., experiment 1) and this interaction could be source localized to the lateral occipital cortex (100 ms) and fusiform gyrus (~170 ms). Furthermore, neural effects of reward prediction emerged over frontal sensors at ~300 ms after stimulus onset which reliably correlated with subsequent recognition memory performance. These results demonstrate that reward motivation can modulate early neural computations of complex visual information, possibly by tuning sensory neurons within the visual cortex.
越来越多的证据表明,视觉大脑区域是信号即将到来的奖励的广泛网络的一部分。然而,奖励和视觉信息处理之间相互作用的确切时间动态仍不清楚。为了进一步研究这个问题,我们使用脑磁图(MEG)结合两种面部/场景辨别任务版本,然后进行识别记忆测试。在实验 1 中,面部和场景之间的区别与货币奖励前景有关,而在实验 2 中,受试者在没有奖励的情况下区分这两个类别。在这两个实验中,在刺激开始后约 100 毫秒(M100)和 170 毫秒(M170)的事件相关磁场(ERF)中观察到特征性的神经类别效应(即,面孔和场景之间的差异)。重要的是,在奖励的情况下,这两个 ERF 成分(M100 和 M170)都被放大(即实验 1),并且这种相互作用可以定位到外侧枕叶皮层(约 100 毫秒)和梭状回(约 170 毫秒)。此外,奖励预测的神经效应在刺激开始后约 300 毫秒出现在额部传感器上,与随后的识别记忆表现可靠相关。这些结果表明,奖励动机可以调节复杂视觉信息的早期神经计算,可能通过调节视觉皮层内的感觉神经元来实现。