Functional Connectome Analyses Reveal the Human Olfactory Network Organization.
Functional Connectome Analyses Reveal the Human Olfactory Network Organization.
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DOI：
10.1523/eneuro.0551-19.2020
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发表时间：
2020-07-01
期刊：
影响因子：
3.4
通讯作者：
Li, Wen
中科院分区：
文献类型：
--
作者：
Arnold, T Campbell;You, Yuqi;Li, Wen
嗅觉系统是独特的异质性，执行多方面的功能（超越基本的感觉处理）在不同的，广泛分布的神经基板。虽然人类嗅觉的知识不断增长，但仍然不清楚嗅觉网络是如何组织的，以服务于这套独特的功能。利用来自人类连接组项目（HCP）的近900名参与者的大型高质量静息态功能磁共振成像（rs-fMRI）数据集，我们确定了一个人类嗅觉网络，包括颞叶和额叶的皮质和皮质下区域。突出了它的可靠性和普遍性，这个嗅觉网络的连接矩阵映射密切到一个独立的rs-fMRI数据集提取。图论分析进一步阐明了网络的组织原理。嗅觉网络表现出三个（即，感觉、边缘和额叶）子网络，并表现出强的小世界特性，在全局整合和局部隔离方面都很高（即，电路专业化）。因此，这种网络组织确保了本地电路的隔离，尽管如此，这些本地电路还是通过连接集线器（即，杏仁核（AMY）和前额叶（INSa）]，从而使嗅觉的专门化，但整合的功能。特别是，本地隔离的程度积极预测嗅觉歧视的独立样本中的性能，我们推断作为一个功能优势的网络组织。总之，嗅觉功能网络已被确定通过大HCP数据集，提供了一个代表性的人类嗅觉功能神经解剖学的模板。重要的是，嗅觉网络的拓扑分析提供了显着的嗅觉系统的功能专业化和空间隔离的网络水平的见解。
The olfactory system is uniquely heterogeneous, performing multifaceted functions (beyond basic sensory processing) across diverse, widely distributed neural substrates. While knowledge of human olfaction continues to grow, it remains unclear how the olfactory network is organized to serve this unique set of functions. Leveraging a large and high-quality resting-state functional magnetic resonance imaging (rs-fMRI) dataset of nearly 900 participants from the Human Connectome Project (HCP), we identified a human olfactory network encompassing cortical and subcortical regions across the temporal and frontal lobes. Highlighting its reliability and generalizability, the connectivity matrix of this olfactory network mapped closely onto that extracted from an independent rs-fMRI dataset. Graph theoretical analysis further explicated the organizational principles of the network. The olfactory network exhibits a modular composition of three (i.e., the sensory, limbic, and frontal) subnetworks and demonstrates strong small-world properties, high in both global integration and local segregation (i.e., circuit specialization). This network organization thus ensures the segregation of local circuits, which are nonetheless integrated via connecting hubs [i.e., amygdala (AMY) and anterior insula (INSa)], thereby enabling the specialized, yet integrative, functions of olfaction. In particular, the degree of local segregation positively predicted olfactory discrimination performance in the independent sample, which we infer as a functional advantage of the network organization. In sum, an olfactory functional network has been identified through the large HCP dataset, affording a representative template of the human olfactory functional neuroanatomy. Importantly, the topological analysis of the olfactory network provides network-level insights into the remarkable functional specialization and spatial segregation of the olfactory system.