Predicting behavior change from persuasive messages using neural representational similarity and social network analyses.
Predicting behavior change from persuasive messages using neural representational similarity and social network analyses.
复制标题
使用神经表征相似性和社交网络分析来预测说服性消息的行为变化。
DOI：
10.1016/j.neuroimage.2017.05.063
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发表时间：
2017
期刊：
影响因子：
5.7
通讯作者：
Falk,EmilyB
中科院分区：
文献类型：
--
作者：
Pegors,TeresaK;Tompson,Steven;O'Donnell,MatthewBrook;Falk,EmilyB
内侧前额叶皮层（MPFC）的神经活动，被确定为参与自我相关的处理，预测以后的健康行为变化。然而，目前尚不清楚个体在内容和生活经验的神经表征方面的差异在多大程度上影响了这种大脑-行为关系。我们研究了说服性信息传递过程中特定于内容的表征的强度是否与后来的行为变化有关，以及这些关系是否随着个人社交网络组成的变化而变化。在我们的研究中，吸烟者在接受功能性磁共振成像时观看了禁烟信息，我们在一个月后测量了他们吸烟行为的变化。使用代表性相似性分析，我们发现，在何种程度上的信息内容（即健康，社会，或效价信息）表示在自我相关的处理MPFC区域与后来的吸烟行为，与负效价（风险）信息的代表增加对应于更大的消息一致的行为变化。此外，表征与行为变化之间的关系取决于社交网络组成：当MPFC中强烈表达社交或健康内容时，网络中吸烟者比例较少的吸烟者表现出吸烟行为增加，而消息一致的行为（即，更少吸烟）更有可能是那些在他们的社会网络中有更多吸烟者的人，他们更强烈地代表社会或健康后果。这些结果突出了MPFC中的表征与健康行为变化等关键结果之间的动态关系;对MPFC在动机和行动中的作用的完整理解应考虑刺激属性和社会背景变量（如社会网络组成）的神经表征的个体差异。
Neural activity in medial prefrontal cortex (MPFC), identified as engaging in self-related processing, predicts later health behavior change. However, it is unknown to what extent individual differences in neural representation of content and lived experience influence this brain-behavior relationship. We examined whether the strength of content-specific representations during persuasive messaging relates to later behavior change, and whether these relationships change as a function of individuals’ social network composition. In our study, smokers viewed anti-smoking messages while undergoing fMRI and we measured changes in their smoking behavior one month later. Using representational similarity analyses, we found that the degree to which message content (i.e. health, social, or valence information) was represented in a self-related processing MPFC region was associated with later smoking behavior, with increased representations of negatively valenced (risk) information corresponding to greater message-consistent behavior change. Furthermore, the relationship between representations and behavior change depended on social network composition: smokers who had proportionally fewer smokers in their network showed increases in smoking behavior when social or health content was strongly represented in MPFC, whereas message-consistent behavior (i.e., less smoking) was more likely for those with proportionally more smokers in their social network who represented social or health consequences more strongly. These results highlight the dynamic relationship between representations in MPFC and key outcomes such as health behavior change; a complete understanding of the role of MPFC in motivation and action should take into account individual differences in neural representation of stimulus attributes and social context variables such as social network composition.