Qing Gele, Jia Fucang, Liu Jianwei, Jiang Xiling
Affiliated Hospital of Chifeng University, Chifeng, China.
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Front Neurol. 2023 Aug 2;14:1164283. doi: 10.3389/fneur.2023.1164283. eCollection 2023.
Anatomical network analysis (AnNA) is a systems biological framework based on network theory that enables anatomical structural analysis by incorporating modularity to model structural complexity. The human brain and facial structures exhibit close structural and functional relationships, suggestive of a co-evolved anatomical network. The present study aimed to analyze the human head as a modular entity that comprises the central nervous system, including the brain, spinal cord, and craniofacial skeleton. An AnNA model was built using 39 anatomical nodes from the brain, spinal cord, and craniofacial skeleton. The linkages were identified using peripheral nerve supply and direct contact between structures. The Spinglass algorithm in the igraph software was applied to construct a network and identify the modules of the central nervous system-craniofacial skeleton anatomical network. Two modules were identified. These comprised an anterior module, which included the forebrain, anterior cranial base, and upper-middle face, and a posterior module, which included the midbrain, hindbrain, mandible, and posterior cranium. These findings may reflect the genetic and signaling networks that drive the mosaic central nervous system and craniofacial development and offer important systems biology perspectives for developmental disorders of craniofacial structures.
解剖网络分析（AnNA）是一种基于网络理论的系统生物学框架，它通过引入模块性来对结构复杂性进行建模，从而实现解剖结构分析。人类大脑和面部结构呈现出密切的结构和功能关系，这表明存在一个共同进化的解剖网络。本研究旨在将人类头部作为一个模块化实体进行分析，该实体由中枢神经系统组成，包括大脑、脊髓和颅面骨骼。使用来自大脑、脊髓和颅面骨骼的39个解剖节点构建了一个AnNA模型。通过外周神经供应和结构之间的直接接触来确定连接关系。应用igraph软件中的Spinglass算法构建网络并识别中枢神经系统 - 颅面骨骼解剖网络的模块。识别出了两个模块。其中一个前模块包括前脑、前颅底和中上面部，另一个后模块包括中脑、后脑、下颌骨和后颅骨。这些发现可能反映了驱动镶嵌式中枢神经系统和颅面发育的遗传和信号网络，并为颅面结构发育障碍提供了重要的系统生物学观点。
