Abstract：
Transcriptomic contributions to the anatomical, functional, and network layout of the human cerebral cortex (HCC) have become a major interest in cognitive and systems neuroscience. Here, we tested if transcriptomic differences support a modern, algorithmic cytoarchitectonic parcellation of HCC. Using a data-driven approach, we identified a sparse subset of genes that differentially contributed to the cytoarchitectonic parcellation of HCC. A combined metric of cortical thickness and myelination (CT/M ratio), as well as cell density, correlated with gene expression. Enrichment analyses showed that genes specific to the cytoarchitectonic parcellation of the HCC were related to molecular functions such as transmembrane transport and ion channel activity. Together, the relationship between transcriptomics and cytoarchitecture bridges the gap among (i) gradients at the macro-scale (including thickness and myelination), (ii) areas at the meso-scale, and (iii) cell density at the microscale, as well as supports the recently proposed cortical spectrum theory and structural model.
摘要：
转录对解剖学的贡献，功能，人类大脑皮层（HCC）的网络布局已成为认知和系统神经科学的主要兴趣。这里,我们测试了转录组差异是否支持现代，肝癌的算法细胞结构分割。使用数据驱动的方法，我们确定了一个稀疏的基因子集，这些基因在HCC的细胞结构分裂方面有差异。皮质厚度和髓鞘形成的组合度量（CT/M比），以及细胞密度，与基因表达相关。富集分析表明，特定于HCC细胞结构分裂的基因与分子功能有关，例如跨膜转运和离子通道活性。一起,转录组学和细胞结构之间的关系弥合了（i）宏观尺度梯度（包括厚度和髓鞘形成）之间的差距，(ii)中尺度区域，和（iii）微观尺度的细胞密度，以及支持最近提出的皮层频谱理论和结构模型。
