Brain structural networks have been shown to consistently organize in functionally meaningful architectures covering the entire brain. However, to what extent brain structural architectures match the intrinsic functional networks in different functional domains remains under explored. In this study, based on independent component analysis, we revealed 45 pairs of structural-functional (S-F) component maps, distributing across nine functional domains, in both a discovery cohort (n = 6005) and a replication cohort (UK Biobank, n = 9214), providing a well-match multimodal spatial map template for public use. Further network module analysis suggested that unimodal cortical areas (e.g., somatomotor and visual networks) indicate higher S-F coherence, while heteromodal association cortices, especially the frontoparietal network (FPN), exhibit more S-F divergence. Collectively, these results suggest that the expanding and maturing brain association cortex demonstrates a higher degree of changes compared with unimodal cortex, which may lead to higher interindividual variability and lower S-F coherence.

中文翻译：

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结构性大脑架构与内在功能网络相匹配并因领域而异：一项来自 15 000 多名个人的研究。

大脑结构网络已被证明在覆盖整个大脑的功能上有意义的架构中始终如一地组织起来。然而，大脑结构架构在多大程度上匹配不同功能域中的内在功能网络仍有待探索。在这项研究中，基于独立成分分析，我们揭示了 45 对结构功能 (SF) 成分图，分布在九个功能域中，在发现队列 ( n  = 6005) 和复制队列 (UK Biobank, n = 9214)，提供一个匹配良好的多模态空间地图模板供公众使用。进一步的网络模块分析表明，单峰皮层区域（例如，躯体运动和视觉网络）表明更高的 SF 连贯性，而异峰关联皮层，尤其是额顶网络 (FPN)，表现出更多的 SF 发散。总的来说，这些结果表明，与单峰皮层相比，不断扩大和成熟的大脑关联皮层表现出更高程度的变化，这可能导致更高的个体差异和更低的 SF 连贯性。