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人脑拓扑结构的综合解剖网络分析

A comprehensive anatomical network analysis of human brain topology.

作者信息

Schuurman Tim, Bruner Emiliano

机构信息

Centro Nacional de Investigación sobre la Evolución Humana, Burgos, Spain.

出版信息

J Anat. 2023 Jun;242(6):973-985. doi: 10.1111/joa.13828. Epub 2023 Jan 24.

Abstract

A network approach to the macroscopic anatomy of the human brain can be used to model physical interactions among regions in order to study their topological properties, as well as the topological properties of the overall system. Here, a comprehensive model of human brain topology is presented, based on traditional macroanatomical divisions of the whole brain, which includes its subcortical regions. The aim was to localise anatomical elements that are essential for the geometric balance of the brain, as to identify underlying phenotypic patterns of spatial arrangement and understand how these patterns may influence brain morphology in ontogeny and phylogeny. The model revealed that the parahippocampal gyrus, the anterior lobe of the cerebellum and the ventral portion of the midbrain are subjected to major topological constraints that are likely to limit or channel their morphological evolution. The present model suggests that the brain can be divided into a superior and an inferior morphological block, linked with extrinsic topological constraints imposed by the surrounding braincase. This information should be considered duly both in ontogenetic and phylogenetic studies of primate neuroanatomy.

摘要

一种用于人类大脑宏观解剖学的网络方法可用于对区域间的物理相互作用进行建模,以便研究其拓扑特性以及整个系统的拓扑特性。在此,基于全脑(包括其皮质下区域)的传统宏观解剖学划分,提出了一个人类脑拓扑的综合模型。目的是定位对大脑几何平衡至关重要的解剖学元素,以识别空间排列的潜在表型模式,并了解这些模式在个体发育和系统发育中如何影响脑形态。该模型显示,海马旁回、小脑前叶和中脑腹侧部分受到主要的拓扑限制,这可能会限制或引导它们的形态进化。当前模型表明,大脑可分为一个上形态块和一个下形态块,它们与周围脑壳施加的外在拓扑限制相关联。在灵长类神经解剖学的个体发育和系统发育研究中,都应充分考虑这些信息。

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