The human default mode network (DMN) is implicated in several unique mental capacities. In this study, we tested whether brain-wide interregional communication in the DMN can be derived from population variability in intrinsic activity fluctuations, gray-matter morphology, and fiber tract anatomy. In a sample of 10,000 UK Biobank participants, pattern-learning algorithms revealed functional coupling states in the DMN that are linked to connectivity profiles between other macroscopical brain networks. In addition, DMN gray matter volume was covaried with white matter microstructure of the fornix. Collectively, functional and structural patterns unmasked a possible division of labor within major DMN nodes: Subregions most critical for cortical network interplay were adjacent to subregions most predictive of fornix fibers from the hippocampus that processes memories and places.

译文

人类默认模式网络 (DMN) 与几种独特的心理能力有关。在这项研究中,我们测试了DMN中大脑范围的区域间交流是否可以从固有活动波动,灰质形态和纤维束解剖结构的群体变异性中得出。在10,000个英国生物库参与者的样本中,模式学习算法揭示了DMN中的功能耦合状态,这些状态与其他宏观大脑网络之间的连通性曲线相关联。此外,DMN灰质体积与fornix的白质微观结构共同变化。总的来说,功能和结构模式掩盖了主要DMN节点内可能的分工: 对于皮质网络相互作用最关键的子区域与处理记忆和位置的海马区的最具预测能力的区域相邻。

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