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Modelling cortical laminar connectivity in the macaque brain
bioRxiv - Neuroscience Pub Date : 2021-06-24 , DOI: 10.1101/2020.07.19.210526
Ittai Shamir , Yaniv Assaf

In 1991, Felleman and Van Essen published their seminal study regarding hierarchical processing in the primate cerebral cortex. Their work encompassed a widescale analysis of connections reported through tracing between 35 regions in the macaque visual cortex, extending from cortical regions to the laminar level. Since then, great strides have been made in the field of MRI neuroimaging of white matter connectivity, also known as structural connectomics, as well as grey matter laminar composition. In this work, we revisit laminar-level connectivity in the macaque brain using a whole-brain MRI-based approach. We use multi-modal ex-vivo MRI imaging of the macaque brain in both white and grey matter, which are then integrated via a simple model of laminar connectivity. This model uses a granularity-based approach to define a set of rules that expands cortical connections to the laminar level. The resulting whole-brain network of macaque cortical laminar connectivity is then validated in the visual cortex by comparison to results from the 1991 study by Felleman and Van Essen. By using an unbiased definition of the cortex that addresses its heterogenous laminar composition, we are able to explore a new avenue of structural connectivity on the laminar level.

中文翻译:

猕猴大脑皮层层流连通性建模

1991 年,Felleman 和 Van Essen 发表了他们关于灵长类大脑皮层层次处理的开创性研究。他们的工作包括对猕猴视觉皮层 35 个区域之间的追踪所报告的联系进行大规模分析,这些区域从皮层区域延伸到层流水平。从那时起,白质连接的 MRI 神经成像领域取得了长足的进步,也称为结构连接组学,以及灰质层流组成。在这项工作中,我们使用基于全脑 MRI 的方法重新审视了猕猴大脑中的层流级连接。我们对猕猴大脑的白质和灰质使用多模态离体 MRI 成像,然后通过简单的层流连接模型进行整合。该模型使用基于粒度的方法来定义一组规则,将皮层连接扩展到层流级别。然后通过与 Felleman 和 Van Essen 1991 年研究的结果进行比较,在视觉皮层中验证由此产生的猕猴皮层层流连接的全脑网络。通过使用解决其异质层流组成的皮层的无偏定义,我们能够在层流水平上探索新的结构连接途径。
更新日期:2021-06-25
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