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Community structure of the creative brain at rest
NeuroImage ( IF 4.7 ) Pub Date : 2020-04-01 , DOI: 10.1016/j.neuroimage.2020.116578
Yoed N Kenett 1 , Richard F Betzel 2 , Roger E Beaty 3
Affiliation  

Recent studies have provided insight into inter-individual differences in creative thinking, focusing on characterizations of distributed large-scale brain networks both at the local level of regions and their pairwise interactions and at the global level of the brain as a whole. However, it remains unclear how creative thinking relates to mesoscale network features, e.g. community and hub organization. We applied a data-driven approach to examine community and hub structure in resting-state functional imaging data from a large sample of participants, and how they relate to individual differences in creative thinking. First, we computed for every participant the co-assignment probability of brain regions to the same community. We found that greater capacity for creative thinking was related to increased and decreased co-assignment of medial-temporal and subcortical regions to the same community, respectively, suggesting that creative capacity may be reflected in inter-individual differences in the meso-scale organization of brain networks. We then used participant-specific communities to identify network hubs-nodes whose connections form bridges across the boundaries of different communities-quantified based on their participation coefficients. We found that increased hubness of DMN and medial-temporal regions were positively and negatively related with creative ability, respectively. These findings suggest that creative capacity may be reflected in inter-individual differences in community interactions of DMN and medial-temporal structures. Collectively, these results demonstrate the fruitfulness of investigating mesoscale brain network features in relation to creative thinking.

中文翻译:

休息时创造性大脑的社区结构

最近的研究提供了对创造性思维的个体差异的洞察,重点关注区域局部水平及其成对相互作用以及整个大脑的全局水平的分布式大规模大脑网络的特征。然而,尚不清楚创造性思维如何与中尺度网络特征(例如社区和枢纽组织)相关。我们应用数据驱动的方法来检查来自大量参与者样本的静息状态功能成像数据中的社区和枢纽结构,以及它们与创造性思维的个体差异之间的关系。首先,我们为每个参与者计算了大脑区域到同一社区的共同分配概率。我们发现,更大的创造性思维能力分别与内侧-颞区和皮层下区域对同一社区的共同分配增加和减少有关,这表明创造性能力可能反映在中尺度组织的个体间差异中。大脑网络。然后,我们使用特定于参与者的社区来识别网络枢纽——节点,其连接形成跨越不同社区边界的桥梁——基于他们的参与系数进行量化。我们发现,DMN 和内侧颞区的中心性增加分别与创造力正相关和负相关。这些发现表明,创造能力可能反映在 DMN 和中间时间结构的社区互动中的个体差异中。总的来说,
更新日期:2020-04-01
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