Nature CommunicationsNeurosciencePeer-reviewed journal article
Assessing molecular, cellular and transcriptomic bases of laminar perfusion and cytoarchitecture coupling in the human cortex
Fanhua GuoiD, Chenyang ZhaoiD, Ravi R. BhattiD, Zixuan LiuiD, Andy Jeesu KimiD, Zidong YangiD, Siyi XuiD, Kay JanniD, Xingfeng ShaoiD, Mara MatheriD, Neda JahanshadiD, Danny J.J. WangiD
Abstract
Understanding how cellular architecture organizes cortical function requires mesoscopic approaches that resolve structure-function coupling in vivo. Here we introduce cerebral blood flow (CBF) and cell-body staining intensity (CSI) similarity index (CCSI), a localized similarity index between the CBF estimates from ultra-high-field 7T arterial spin labeling images and CSI from the BigBrain histology images to serve as a quantitative marker of laminar perfusion-cytoarchitecture coupling. CCSI revealed a reproducible, region- specific alignment between laminar vascular and cellular profiles across the cortex. Going beyond CBF, CCSI selectively tracked mitochondrial respiratory capacity and colocalized with capillary endothelial and mature non-myelination oligodendrocyte populations forming neurovascular interfaces. Transcriptomic enrichment highlighted pathways related to vascular remodeling, oxidative metabolism, and lipid-myelin homeostasis, indicating that CCSI reflects integrated metabolic-structural specialization. At the systems level, CCSI strengthened structure-function gradient correspondence in transmodal cortices, such as the default mode network. Together, these findings establish CCSI as a physiologically grounded, non-invasive marker of perfusion-cytoarchitecture alignment, providing a cross-scale framework linking cortical microstructure, metabolism, and functional organization.
- organism: human
- assay: bulk RNA-seq
- assay: imaging
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 1
- FWCI
- 4.70
- Field percentile
- top 12%
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