Cellular and molecular underpinnings of functional networks in the human brain.

Guozheng Feng, Jiayu Chen, Jing Sui, Vince D Calhoun
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Abstract

Understanding how cellular and molecular architecture underpins the large-scale organization of human brain function is a central challenge in neuroscience. By integrating transcriptomic (microarray data and single-nucleus RNA-sequencing [sn-RNA] data), molecular imaging, and neuroimaging datasets, we observed spatial correspondences suggesting that the distributions of diverse cell types, neurotransmitter systems, and mitochondrial phenotypes are aligned with intrinsic connectivity networks (ICNs)-the macroscale scaffolding of brain function. These associations extend beyond local correspondence to reflect network-level structure: inter-ICN similarity networks derived from cellular and molecular profiles significantly recapitulate both static and dynamic patterns of functional network connectivity (FNC), mirroring the established division of ICNs into canonical functional domains. Importantly, these cellular and molecular profiles not only colocalize with ICNs and FNCs but also appear to support their role as intermediaries linking microscale biological substrates to cognitive function. Mediation analyses reveal that specific ICNs statistically mediate the relationship between microscale cell-type architecture and domain-specific cognitive and behavioral processes. Moreover, FNCs capture the mediating pathways linking cell-type and neurotransmitter similarity networks to cognitive network organization. Taken together, our findings suggest that the brain's functional architecture shows systematic associations with cellular and molecular organization, which may act as a biological constraint guiding functional network formation and contribute to the neural basis of cognition.

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人类大脑功能网络的细胞和分子基础。
了解细胞和分子结构如何支撑人类大脑功能的大规模组织是神经科学的核心挑战。通过整合转录组学(微阵列数据和单核rna测序[sn-RNA]数据)、分子成像和神经成像数据集,我们观察到空间对应性,表明不同细胞类型、神经递质系统和线粒体表型的分布与内在连接网络(ICNs)——脑功能的宏观支架——一致。这些关联超越了局部对应,反映了网络级结构:源自细胞和分子特征的icn间相似性网络显著概括了功能网络连通性(FNC)的静态和动态模式,反映了icn已建立的规范功能域划分。重要的是,这些细胞和分子特征不仅与ICNs和fnc共定位,而且似乎支持它们作为连接微尺度生物底物与认知功能的中介的作用。中介分析表明,特定的ICNs在统计学上介导了微尺度细胞类型结构与特定领域认知和行为过程之间的关系。此外,fnc捕获连接细胞类型和神经递质相似性网络与认知网络组织的中介通路。综上所述,我们的研究结果表明,大脑的功能结构与细胞和分子组织有系统的联系,这可能是指导功能网络形成的生物学约束,并有助于认知的神经基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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