Northwestern University, Evanston, IL.
Florida State University, Tallahassee.
J Cogn Neurosci. 2023 Feb 1;35(2):200-225. doi: 10.1162/jocn_a_01945.
Resting-state fMRI studies have revealed that individuals exhibit stable, functionally meaningful divergences in large-scale network organization. The locations with strongest deviations (called network "variants") have a characteristic spatial distribution, with qualitative evidence from prior reports suggesting that this distribution differs across hemispheres. Hemispheric asymmetries can inform us on constraints guiding the development of these idiosyncratic regions. Here, we used data from the Human Connectome Project to systematically investigate hemispheric differences in network variants. Variants were significantly larger in the right hemisphere, particularly along the frontal operculum and medial frontal cortex. Variants in the left hemisphere appeared most commonly around the TPJ. We investigated how variant asymmetries vary by functional network and how they compare with typical network distributions. For some networks, variants seemingly increase group-average network asymmetries (e.g., the group-average language network is slightly bigger in the left hemisphere and variants also appeared more frequently in that hemisphere). For other networks, variants counter the group-average network asymmetries (e.g., the default mode network is slightly bigger in the left hemisphere, but variants were more frequent in the right hemisphere). Intriguingly, left- and right-handers differed in their network variant asymmetries for the cingulo-opercular and frontoparietal networks, suggesting that variant asymmetries are connected to lateralized traits. These findings demonstrate that idiosyncratic aspects of brain organization differ systematically across the hemispheres. We discuss how these asymmetries in brain organization may inform us on developmental constraints of network variants and how they may relate to functions differentially linked to the two hemispheres.
静息态 fMRI 研究表明,个体在大规模网络组织中表现出稳定的、具有功能意义的差异。偏离程度最大的区域(称为网络“变体”)具有特征性的空间分布,先前的报告提供了定性证据表明,这种分布在左右半球之间存在差异。半球不对称性可以为指导这些特质区域发展的约束条件提供信息。在这里,我们使用来自人类连接组计划的数据系统地研究了网络变体的半球差异。变体在右半球明显更大,特别是在前脑回和内侧前额皮质。左半球的变体最常见于 TPJ 周围。我们研究了变体不对称性如何因功能网络而异,以及它们与典型网络分布的比较。对于一些网络,变体似乎增加了组平均网络不对称性(例如,组平均语言网络在左半球略大,变体在该半球也更常见)。对于其他网络,变体与组平均网络不对称性相反(例如,默认模式网络在左半球略大,但变体在右半球更常见)。有趣的是,惯用左手和右手的人在扣带回-顶叶和额顶叶网络的网络变体不对称性方面存在差异,这表明变体不对称性与偏侧化特征有关。这些发现表明,大脑组织的特质方面在左右半球之间存在系统差异。我们讨论了这些大脑组织不对称性如何为我们提供关于网络变体发展约束的信息,以及它们如何与与两个半球相关的不同功能相关。