Brain hubs defined in the group do not overlap with regions of high inter-individual variability.
Brain hubs defined in the group do not overlap with regions of high inter-individual variability.
复制标题
在群体中定义的脑中枢不与高度个体间变异性的区域重叠。
DOI：
10.1016/j.neuroimage.2023.120195
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发表时间：
2023-08-15
期刊：
影响因子：
5.7
通讯作者：
Gratton, Caterina
中科院分区：
文献类型：
--
作者：
Smith, Derek M.;Kraus, Brian T.;Dworetsky, Ally;Gordon, Evan M.;Gratton, Caterina
连接器“枢纽”是与多个网络相连的大脑区域。这些区域被假设在大脑功能中起着关键作用。虽然枢纽往往是根据组平均功能磁共振成像（fMRI）数据确定的，但大脑的功能连接配置文件中存在相当大的受试者间差异，特别是在枢纽往往位于的关联区域。在这里，我们研究了群体枢纽是如何与个体间变异的位置相关的。为了回答这个问题，我们在午夜扫描俱乐部和人类连接组项目数据集中研究了群体水平枢纽的个体间差异。基于参与系数定义的顶级组中心与个体间变异的最突出区域（在先前的工作中称为“变体”）没有强烈重叠。这些枢纽在参与者之间具有相对较强的相似性，并且具有一致的跨网络配置文件，类似于在皮层的许多其他区域中所看到的。当这些中心被允许在当地位置上稍微移动时，参与者之间的一致性得到了进一步改善。因此，我们的研究结果表明，用参与系数定义的顶级群体枢纽在人群中通常是一致的，这表明它们可能代表保守的跨网络桥梁。更谨慎的是有必要与替代枢纽措施，如社区密度（这是基于空间接近网络边界）和中间枢纽地区，显示出较高的对应位置的个人变异。
Connector ‘hubs’ are brain regions with links to multiple networks. These regions are hypothesized to play a critical role in brain function. While hubs are often identified based on group-average functional magnetic resonance imaging (fMRI) data, there is considerable inter-subject variation in the functional connectivity profiles of the brain, especially in association regions where hubs tend to be located. Here we investigated how group hubs are related to locations of inter-individual variability. To answer this question, we examined inter-individual variation at group-level hubs in both the Midnight Scan Club and Human Connectome Project datasets. The top group hubs defined based on the participation coefficient did not overlap strongly with the most prominent regions of inter-individual variation (termed ‘variants’ in prior work). These hubs have relatively strong similarity across participants and consistent cross-network profiles, similar to what was seen for many other areas of cortex. Consistency across participants was further improved when these hubs were allowed to shift slightly in local position. Thus, our results demonstrate that the top group hubs defined with the participation coefficient are generally consistent across people, suggesting they may represent conserved cross-network bridges. More caution is warranted with alternative hub measures, such as community density (which are based on spatial proximity to network borders) and intermediate hub regions which show higher correspondence to locations of individual variability.
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