Reavis Eric A, Frank Sebastian M, Tse Peter U
Department of Psychological & Brain Sciences, Dartmouth College, 6207 Moore Hall, Hanover, NH 03755, USA.
Department of Psychological & Brain Sciences, Dartmouth College, 6207 Moore Hall, Hanover, NH 03755, USA.
Neuroimage. 2015 Apr 15;110:171-81. doi: 10.1016/j.neuroimage.2015.01.051. Epub 2015 Jan 31.
Useful information in the visual environment is often contained in specific conjunctions of visual features (e.g., color and shape). The ability to quickly and accurately process such conjunctions can be learned. However, the neural mechanisms responsible for such learning remain largely unknown. It has been suggested that some forms of visual learning might involve the dopaminergic neuromodulatory system (Roelfsema et al., 2010; Seitz and Watanabe, 2005), but this hypothesis has not yet been directly tested. Here we test the hypothesis that learning visual feature conjunctions involves the dopaminergic system, using functional neuroimaging, genetic assays, and behavioral testing techniques. We use a correlative approach to evaluate potential associations between individual differences in visual feature conjunction learning rate and individual differences in dopaminergic function as indexed by neuroimaging and genetic markers. We find a significant correlation between activity in the caudate nucleus (a component of the dopaminergic system connected to visual areas of the brain) and visual feature conjunction learning rate. Specifically, individuals who showed a larger difference in activity between positive and negative feedback on an unrelated cognitive task, indicative of a more reactive dopaminergic system, learned visual feature conjunctions more quickly than those who showed a smaller activity difference. This finding supports the hypothesis that the dopaminergic system is involved in visual learning, and suggests that visual feature conjunction learning could be closely related to associative learning. However, no significant, reliable correlations were found between feature conjunction learning and genotype or dopaminergic activity in any other regions of interest.
视觉环境中的有用信息通常包含在视觉特征的特定组合中(例如,颜色和形状)。快速准确地处理此类组合的能力是可以习得的。然而,负责这种学习的神经机制在很大程度上仍然未知。有人提出,某些形式的视觉学习可能涉及多巴胺能神经调节系统(Roelfsema等人,2010年;Seitz和Watanabe,2005年),但这一假设尚未得到直接验证。在这里,我们使用功能神经成像、基因检测和行为测试技术来检验视觉特征组合学习涉及多巴胺能系统这一假设。我们采用相关方法来评估视觉特征组合学习率的个体差异与由神经成像和基因标记所索引的多巴胺能功能的个体差异之间的潜在关联。我们发现尾状核(多巴胺能系统与大脑视觉区域相连的一个组成部分)的活动与视觉特征组合学习率之间存在显著相关性。具体而言,在一项不相关的认知任务中,对正反馈和负反馈表现出更大活动差异(表明多巴胺能系统反应性更强)的个体,比活动差异较小的个体学习视觉特征组合的速度更快。这一发现支持了多巴胺能系统参与视觉学习的假设,并表明视觉特征组合学习可能与联想学习密切相关。然而,在感兴趣的任何其他区域中,未发现特征组合学习与基因型或多巴胺能活动之间存在显著、可靠的相关性。