Department of Neurology and Centre for Advanced Imaging, Otto-von-Guericke-University, Leipziger Str. 44, 39120 Magdeburg, Germany.
Brain Res. 2011 Apr 6;1383:218-29. doi: 10.1016/j.brainres.2011.01.095. Epub 2011 Feb 2.
Central to the organization of behavior is the ability to represent the magnitude of a prospective reward and the costs related to obtaining it. Therein, reward-related neural activations are discounted in dependence of the effort required to resolve a given task. Varying attentional demands of the task might however affect reward-related neural activations. Here we employed fMRI to investigate the neural representation of expected values during a monetary incentive delay task with varying attentional demands. Following a cue, indicating at the same time the difficulty (hard/easy) and the reward magnitude (high/low) of the upcoming trial, subjects performed an attention task and subsequently received feedback about their monetary reward. Consistent with previous results, activity in anterior-cingulate, insular/orbitofrontal and mesolimbic regions co-varied with the anticipated reward-magnitude, but also with the attentional requirements of the task. These activations occurred contingent on action-execution and resembled the response time pattern of the subjects. In contrast, cue-related activations, signaling the forthcoming task-requirements, were only observed within attentional control structures. These results suggest that anticipated reward-magnitude and task-related attentional demands are concurrently processed in partially overlapping neural networks of anterior-cingulate, insular/orbitofrontal, and mesolimbic regions.
行为的组织核心是代表预期奖励的大小和获得奖励相关成本的能力。在此基础上,与努力相关的神经活动取决于解决特定任务所需的努力程度。然而,任务的注意力需求变化可能会影响与奖励相关的神经活动。在这里,我们采用 fMRI 研究了在具有不同注意力需求的金钱奖励延迟任务中预期价值的神经表示。在提示之后,同时指示即将到来的试验的难度(难/易)和奖励大小(高/低),受试者执行注意力任务,然后收到关于其金钱奖励的反馈。与之前的结果一致,前扣带皮质、脑岛/眶额皮质和中脑边缘区域的活动与预期奖励大小以及任务的注意力要求共同变化。这些激活是在动作执行的条件下发生的,与受试者的反应时间模式相似。相比之下,提示相关的激活,提示即将到来的任务要求,仅在注意力控制结构中观察到。这些结果表明,预期奖励大小和与任务相关的注意力需求在部分重叠的前扣带皮质、脑岛/眶额皮质和中脑边缘区域的神经网络中同时处理。