On August 24, 2021, University of Electronic Science and Technology of China Liao Wei and Chen Huafu jointly published a research paper titled "Cortical patterning of morphometric similarity gradient reveals diverged hierarchical organization in sensory-motor cortices" on Cell Reports , which uses magnetic resonance Images, histological imaging data and publicly available transcriptome data, studied the gradient representation of the brain morphological similarity network, and revealed its association with brain hierarchical organizations at multiple scales
Cell Reports Different areas of the human cerebral cortex have structural variability and functional specificity.
Magnetic resonance imaging (MRI) can perform systematic gradient analysis of the macrostructure and functional brain measurements of the entire cortex
Graphic abstract
Graphic Abstract Graphic Abstract In this research, Professor Chen Huafu's research group analyzed the structural MRI data of a group of healthy subjects (116 people) and extracted individual brain morphological features to construct the cortical MSN connection group; then used diffusion map embedding technology to map the cortical MSN gradient representation
extreme By measuring how the MSN gradient changes along the geodesic distance of the primary cortex, the topological organization of the primary cortex in the MSN gradient can be further determined
BigBrain BigBrain Next, the consistency of the MSN gradient and the classic functional connectivity (FC) gradient was measured, and it was found that the MSN gradient and the FC gradient were separated in the advanced joint cortex
BigBrain Related paper information: https://doi.
https://doi.
org/10.
1016/j.
celrep.
2021.
109582
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