Structural covariance of thickness is organized along neurogenetic and neurodevelopmental axes

Structural covariance of regional cortical thickness reflects genetic processes, structural, and functional connectivity, and relates to individual differences in health and disorder ([Alexander-Bloch A et al. 2013](https://www.ncbi.nlm.nih.gov/pubmed/23531697)). Previous studies of the mammalian cortex have specified various natural dimensions of systematic variations in cortical features as a function of laminar differentiation, cytoarchitecture, gene expression, and functional connectivity ([Huntenburg JM et al. 2018](https://www.ncbi.nlm.nih.gov/pubmed/29203085)). These dimensions have behavioral ramifications ([Huntenburg JM et al. 2018](https://www.ncbi.nlm.nih.gov/pubmed/29203085)), and relate to the timing of neurogenesis and neurogenetic origin of cortical organization ([Sanides F 1962; Goulas A et al. 2019](https://www.springer.com/de/book/9783540028864)). Here, we studied the topology of structural covariance using a data-driven framework in humans and macaque monkeys and explore its genetic origin.

区域皮层厚度的结构协方差（structural covariance）可反映遗传进程、结构与功能连接特性，并与个体在健康与疾病状态下的差异相关（Alexander-Bloch A等，2013，PubMed ID:23531697）。既往针对哺乳动物大脑皮层的研究已揭示，皮层特征的系统性变异存在多种自然维度，这些维度与分层分化、细胞构筑、基因表达及功能连接密切相关（Huntenburg JM等，2018，PubMed ID:29203085）。这些维度具备行为层面的关联效应（Huntenburg JM等，2018，PubMed ID:29203085），且与神经发生的时序及皮层组织的神经发生起源紧密关联（Sanides F，1962；Goulas A等，2019，Springer出版社，ISBN:9783540028864）。本研究借助数据驱动框架，对人类与猕猴的结构协方差拓扑特征展开探究，并剖析其遗传起源。