The anchoring effect is a well-known decision bias, referring that initial irrelevant number (anchor) can impact late estimation. Anchoring effect can be explained as people starting from the anchor and stopping incremental adjustment too early—in other words, jumping into the conclusion impulsively. High impulsivity is associated with AA genotype of rs806379. Therefore, we hypothesized that rs806379 polymorphism can exert an influence on the anchoring effect. The subjects completed an experimental task of anchoring effect and provided saliva for genotyping. As expected, we found that subjects with AA genotype of rs806379 demonstrated stronger anchoring effect. This is the first article that explores the anchoring effect from the gene perspective. Our finding suggests that nature plays a role in anchoring effect. 相似文献
Based on self‐determination theory, the current research aimed to explore the potential mediating effect of relatedness need satisfaction on the relationship between charitable behavior and well‐being in the Chinese context. Employing a cross‐sectional design, participants reported data on the aforementioned variables in Study 1. The results indicated that relatedness need satisfaction mediated the positive relationship between charitable behavior and hedonic well‐being and that between charitable behavior and eudaimonic well‐being. Subsequently, a field experiment was conducted in Study 2. Participants rated their levels of relatedness need satisfaction and well‐being after charitable donation behaviors were primed. We again observed consistent results. Specifically, charitable behavior was positively associated with both hedonic and eudaimonic well‐being, and these relationships were mediated by relatedness need satisfaction. The above findings help to clarify the association between charitable behavior and people's subjective feelings (i.e., well‐being), and they deepen our understanding of the underlying mechanism from the perspective of psychological needs satisfaction. 相似文献
A prevalent explanation for the self-reference effect is that self-knowledge is represented by a set of specific brain regions, including anterior cingulate cortex (ACC), middle frontal gyrus (MFG), superior temporal gyrus (STG), precuneus, and inferior parietal lobule (IPL), which enables self-knowledge to be processed in priority than other-knowledge. However, the conventional univariate activation analysis adopted by previous studies could only detect the activation of separate brain regions. The current study mainly investigated the global neural patterns of self-knowledge (relative to other-knowledge) by the multivariate pattern analysis (MVPA). Results obtained in Experiments 1 and 2 were highly consistent, indicating that the core self-network (mainly the ACC) and salience network (mainly the insula) could distinguish self-knowledge from other-knowledge. Furthermore, the neural pattern of positive self-knowledge mainly included the ventral part of ACC, while the neural pattern of negative self-knowledge mainly included the ventral and dorsal parts of ACC and cognitive control network (dorsolateral prefrontal cortex: dlPFC). These findings suggest that the core self-network and salience network are specific to the neural process of self-knowledge. Moreover, both positive and negative self-knowledge are separately driven by different cognitive and neural characteristics.