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Topographic Axes of Wiring Space Converge to Genetic Topography in Shaping Human Cortical Layout

神经科学 皮质(解剖学) 脾后皮质 顶点(图论) 生物 计算机科学 理论计算机科学 图形
作者
Deying Li,Yufan Wang,Liang Ma,Yaping Wang,Luqi Cheng,Yinan Liu,Weiyang Shi,Yuheng Lu,Haiyan Wang,Chaohong Gao,Camilla T. Erichsen,Yu Zhang,Zhengyi Yang,Simon B. Eickhoff,Chi‐Hua Chen,Tianzi Jiang,Congying Chu,Lingzhong Fan
标识
DOI:10.1101/2023.09.06.556618
摘要

Abstract Genetic information is involved in the gradual emergence of cortical areas since the neural tube begins to form, shaping the heterogeneous functions of neural circuits in the human brain. Informed by invasive tract-tracing measurements, the cortex exhibits marked interareal variation in connectivity profiles to reveal the heterogeneity across cortical areas. However, it remains unclear about the organizing principles possibly shared by genetics and cortical wiring to manifest the spatial heterogeneity across the cortex. Instead of considering a complex one-to-one mapping between genetic coding and interareal connectivity, we hypothesized the existence of a more efficient way that the organizing principles are embedded in genetic profiles to underpin the cortical wiring space. Leveraging on the vertex-wise tractography in diffusion-weighted MRI, we derived the global connectopies to reliably index the organizing principles of interareal connectivity variation in a low-dimensional space, which specifically captured three dominant topographic patterns along the dorsoventral, rostrocaudal, and mediolateral axes of the cortex. More importantly, we demonstrated that the global connectopies converge to the gradients of vertex-by-vertex genetic correlation matrix on the phenotype of cortical morphology and the cortex-wide spatiomolecular gradients. By diving into the genetic profiles, we found the critical role of genes scaffolding the global connectopies were related to brain morphogenesis and enriched in radial glial cells before birth and excitatory neurons after birth. Taken together, our findings demonstrated the existence of a genetically determined space to encode the interareal connectivity variation, which may give new insights into the links between cortical connections and arealization.

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