Cognitive and neural bases of visual-context-guided decision-making
Cognitive and neural bases of visual-context-guided decision-making
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DOI：
10.1016/j.neuroimage.2023.120170
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发表时间：
2023-05-17
期刊：
影响因子：
5.7
通讯作者：
Yu，Rongjun
中科院分区：
文献类型：
--
作者：
Sun，Sai;Yu，Hongbo;Yu，Rongjun
人类根据反馈调整他们的行为策略，这一过程可能取决于内在偏好和视觉显著性等背景因素。在这项研究中，我们假设基于视觉显著性的决策受到习惯和目标导向过程的影响，这可以通过注意力和主观评价系统的变化来证明。为了验证这一假设，我们进行了一系列的研究，以探讨视觉显着性驱动的决策背后的行为和神经机制。我们首先在实验1（n= 21）中建立了无显著性的基线行为策略。然后，我们在实验2（n= 30）中使用颜色突出了所选结果的效用或性能维度。我们证明了停留频率的差异沿着显著维度增加，证实了显著效应。此外，在实验3（n= 28）中，当去除方向信息时，显著性效应被消除，这表明显著性效应是反馈特异性的。为了推广我们的研究结果，我们使用眼动追踪和文本分析来复制特定于反馈的显著性效应。在实验4（n= 48）中，选择值和未选择值之间的注视差异沿着反馈特定的显著维度沿着增强，但在实验5（n= 32）中，在去除反馈特定的信息后保持不变。此外，停留频率与固定属性相关，证实了显着性指导注意部署。最后，我们的神经影像学研究（实验6，n= 25）表明，纹状体子区域编码基于显着性的结果评价，而vmPFC编码基于显着性的行为调整。vmPFC-腹侧纹状体的连通性解释了效用驱动的个体差异，而vmPFC-dmPFC则解释了性能驱动的行为调整。总之，我们的研究结果提供了一个神经认知帐户的任务无关的视觉显着性如何驱动决策，涉及注意力和额叶-纹状体的估值system.Public显着性statementHumans可能会使用当前的结果，使行为调整。这种情况如何发生可能取决于稳定的个人偏好和上下文因素，如视觉显着性。在视觉显著性决定注意力并调节主观评价的假设下，我们研究了视觉情境引导的结果评价和行为调整的潜在行为和神经基础。我们的研究结果表明，奖励系统是由视觉环境精心策划的，并强调了注意力和额叶-纹状体神经回路在视觉环境引导的决策中的关键作用，这些决策可能涉及习惯性和目标导向的过程。
Humans adjust their behavioral strategies based on feedback, a process that may depend on intrinsic preferences and contextual factors such as visual salience. In this study, we hypothesized that decision-making based on visual salience is influenced by habitual and goal-directed processes, which can be evidenced by changes in attention and subjective valuation systems. To test this hypothesis, we conducted a series of studies to investigate the behavioral and neural mechanisms underlying visual salience-driven decision-making. We first established the baseline behavioral strategy without salience in Experiment 1 (n= 21). We then highlighted the utility or performance dimension of the chosen outcome usingcolorsin Experiment 2 (n= 30). We demonstrated that the difference in staying frequency increased along the salient dimension, confirming a salience effect. Furthermore, the salience effect was abolished when directional information was removed in Experiment 3 (n= 28), suggesting that the salience effect is feedback-specific. To generalize our findings, we replicated the feedback-specific salience effects using eye-tracking andtextemphasis. The fixation differences between the chosen and unchosen values were enhanced along the feedback-specific salient dimension in Experiment 4 (n= 48) but unchanged after removing feedback-specific information in Experiment 5 (n= 32). Moreover, the staying frequency was correlated with fixation properties, confirming that salience guides attention deployment. Lastly, our neuroimaging study (Experiment 6,n= 25) showed that the striatum subregions encoded salience-based outcome evaluation, while the vmPFC encoded salience-based behavioral adjustments. The connectivity of the vmPFC-ventral striatum accounted for individual differences in utility-driven, whereas the vmPFC-dmPFC for performance-driven behavioral adjustments. Together, our results provide a neurocognitive account of how task-irrelevant visual salience drives decision-making by involving attention and the frontal-striatal valuation systems.Public significance statementHumans may use the current outcome to make behavior adjustments. How this occurs may depend on stable individual preferences and contextual factors, such as visual salience. Under the hypothesis that visual salience determines attention and subsequently modulates subjective valuation, we investigated the underlying behavioral and neural bases of visual-context-guided outcome evaluation and behavioral adjustments. Our findings suggest that the reward system is orchestrated by visual context and highlight the critical role of attention and the frontal-striatal neural circuit in visual-context-guided decision-making that may involve habitual and goal-directed processes.