Gong Mengyuan, Jia Ke, Li Sheng
School of Psychological and Cognitive Sciences, Peking University, Beijing, 100871, China.
Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China.
J Neurosci. 2017 Jun 28;37(26):6242-6252. doi: 10.1523/JNEUROSCI.0217-17.2017. Epub 2017 May 24.
Visual attentional selection is influenced by the value of objects. Previous studies have demonstrated that reward-associated items lead to rapid distraction and associated behavioral costs, which are difficult to override with top-down control. However, it has not been determined whether a perceptually competitive environment could render the reward-driven distraction more susceptible to top-down suppression. Here, we trained both genders of human subjects to associate two orientations with high and low magnitudes of reward. After training, we collected fMRI data while the subjects performed a categorical visual search task. The item in the reward-associated orientation served as the distractor, and the relative physical salience between the target and distractor was carefully controlled to modulate the degree of perceptual competition. The behavioral results showed faster searches in the presence of high, relative to low, reward-associated distractors. However, this effect was evident only if the physical salience of the distractor was higher than that of the target, indicating a context-dependent suppression effect of reward salience that relied on high perceptual competition. By analyzing the fMRI data in primary visual cortex, we found that the behavioral pattern of results could be predicted by the suppressed channel responses tuned to the reward-associated orientation in the distractor location, accompanied by increased responses in the midbrain dopaminergic region. Our results suggest that the learned salience of a reward plays a flexible role in solving perceptual competition, enabling the neural system to adaptively modulate the perceptual representation for behavioral optimization. The predictiveness principle in learning theory suggests that the stimulus with high predictability of reward receives priority in attentional selection. This selection bias leads to difficulties in changing approach behaviors, and thus becomes an important factor related to psychiatric disorders with attentional deficits. Here, we demonstrated that such principle is adaptively implemented in attentional suppression in visual search. We showed that the learned salience induced the suppression of the reward-associated distractor if its competition with the target was strong and could not be readily solved. This behavioral pattern was accompanied by increased midbrain fMRI activity and weakened sensory representation of the reward-associated distractor in V1. Our findings provided direct evidence that our brain flexibly uses learned regularities in attentional control.
视觉注意选择受物体价值的影响。先前的研究表明,与奖励相关的物品会导致快速分心及相关行为成本,而这种分心很难通过自上而下的控制来克服。然而,尚未确定在感知竞争环境中,奖励驱动的分心是否更容易受到自上而下的抑制。在此,我们对男女受试者进行训练,使其将两种方向与高低不同的奖励幅度联系起来。训练后,我们在受试者执行分类视觉搜索任务时收集功能磁共振成像(fMRI)数据。与奖励相关方向的物品充当干扰项,并且仔细控制目标与干扰项之间的相对物理显著性,以调节感知竞争程度。行为结果表明,相对于与低奖励相关的干扰项,在存在与高奖励相关的干扰项时搜索速度更快。然而,只有当干扰项的物理显著性高于目标时,这种效应才明显,这表明奖励显著性的情境依赖性抑制效应依赖于高感知竞争。通过分析初级视觉皮层中的fMRI数据,我们发现结果的行为模式可以通过在干扰项位置上调谐到与奖励相关方向的被抑制通道反应来预测,同时中脑多巴胺能区域的反应增强。我们的结果表明,奖励的习得显著性在解决感知竞争中发挥灵活作用,使神经系统能够自适应地调节感知表征以实现行为优化。学习理论中的预测性原则表明,具有高奖励可预测性的刺激在注意选择中具有优先权。这种选择偏差导致改变趋近行为存在困难,因此成为与注意力缺陷相关精神疾病的一个重要因素。在此,我们证明了这种原则在视觉搜索的注意抑制中是自适应实现的。我们表明,如果与目标的竞争强烈且难以轻易解决,习得显著性会导致对与奖励相关干扰项的抑制。这种行为模式伴随着中脑fMRI活动增加以及初级视觉皮层(V1)中与奖励相关干扰项的感觉表征减弱。我们的研究结果提供了直接证据,证明我们的大脑在注意控制中灵活运用习得规律。