Zhang Xi-Han, Anderson Kevin M, Dong Hao-Ming, Chopra Sidhant, Dhamala Elvisha, Emani Prashant S, Gerstein Mark B, Margulies Daniel S, Holmes Avram J
Department of Psychology, Yale University, New Haven, CT, USA.
Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Nat Neurosci. 2025 Jan;28(1):150-160. doi: 10.1038/s41593-024-01812-2. Epub 2024 Nov 21.
The functional properties of the human brain arise, in part, from the vast assortment of cell types that pattern the cerebral cortex. The cortical sheet can be broadly divided into distinct networks, which are embedded into processing streams, or gradients, that extend from unimodal systems through higher-order association territories. Here using microarray data from the Allen Human Brain Atlas and single-nucleus RNA-sequencing data from multiple cortical territories, we demonstrate that cell-type distributions are spatially coupled to the functional organization of cortex, as estimated through functional magnetic resonance imaging. Differentially enriched cells follow the spatial topography of both functional gradients and associated large-scale networks. Distinct cellular fingerprints were evident across networks, and a classifier trained on postmortem cell-type distributions was able to predict the functional network allegiance of cortical tissue samples. These data indicate that the in vivo organization of the cortical sheet is reflected in the spatial variability of its cellular composition.
人类大脑的功能特性部分源于构成大脑皮层的种类繁多的细胞类型。皮层可大致分为不同的网络,这些网络嵌入到处理流或梯度中,从单峰系统延伸至高阶联合区域。在此,我们利用来自艾伦人类大脑图谱的微阵列数据以及来自多个皮层区域的单核RNA测序数据,证明细胞类型分布在空间上与通过功能磁共振成像估计的皮层功能组织相关联。差异富集的细胞遵循功能梯度和相关大规模网络的空间拓扑结构。不同网络之间存在明显的细胞指纹特征,并且基于死后细胞类型分布训练的分类器能够预测皮层组织样本的功能网络归属。这些数据表明,皮层的体内组织结构反映在其细胞组成的空间变异性中。