Although research in the field of cultural psychology and cultural neuroscience has revealed that culture is an important factor related to the human behaviors and neural activities in various tasks, it remains unclear how different brain regions organize together to construct a topological network for the representation of individual’s cultural tendency. In this study, we examined the hypothesis that resting-state brain network properties can reflect individual’s cultural background or tendency. By combining the methods of resting-state magnetic resonance imaging and graph theoretical analysis, significant cultural differences between participants from Eastern and Western cultures were found in the degree and global efficiency of regions mainly within the default mode network and subcortical network. Furthermore, the holistic–analytic thinking style, as a cultural value, provided a partial explanation for the cultural differences on various nodal metrics. Validation analyses further confirmed that these network properties effectively predicted the tendency of holistic–analytic cultural style within a group (r = 0.23) and accurately classified cultural groups (65%). The current study establishes a neural connectome representation of holistic–analytic cultural style including the topological brain network properties of regions in the default mode network, the basal ganglia and amygdala, which enable accurate cultural group membership classification.

中文翻译：

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整体分析文化风格的功能连接组指纹

尽管文化心理学和文化神经科学领域的研究表明，文化是与人类在各种任务中的行为和神经活动相关的重要因素，但目前尚不清楚不同的大脑区域是如何组织在一起构建一个拓扑网络来表示个体的文化倾向。在这项研究中，我们检验了静息状态大脑网络特性可以反映个人文化背景或倾向的假设。通过结合静息态磁共振成像和图论分析的方法，发现东西方文化参与者在默认模式网络和皮层下网络区域的程度和全局效率方面存在显着的文化差异。此外，整体分析思维方式作为一种文化价值，为各种节点指标上的文化差异提供了部分解释。验证分析进一步证实，这些网络属性有效地预测了群体内整体分析文化风格的趋势（r = 0.23）和准确分类文化群体（65%）。目前的研究建立了一个整体分析文化风格的神经连接组表示，包括默认模式网络、基底神经节和杏仁核中区域的拓扑大脑网络属性，从而实现准确的文化群体成员分类。验证分析进一步证实，这些网络属性有效地预测了群体内整体分析文化风格的趋势（r = 0.23）和准确分类文化群体（65%）。目前的研究建立了一个整体分析文化风格的神经连接组表示，包括默认模式网络、基底神经节和杏仁核中区域的拓扑大脑网络属性，从而实现准确的文化群体成员分类。验证分析进一步证实，这些网络属性有效地预测了群体内整体分析文化风格的趋势（r = 0.23）和准确分类文化群体（65%）。目前的研究建立了一个整体分析文化风格的神经连接组表示，包括默认模式网络、基底神经节和杏仁核中区域的拓扑大脑网络属性，从而实现准确的文化群体成员分类。