期刊
FRONTIERS IN PHYSIOLOGY
卷 10, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fphys.2019.00233
关键词
cerebral cortex; capillary network; capillary loop; capillary network model; biomimetic network
类别
资金
- European Research Council under the European Union [615102]
- National Institutes of Health National Cancer Institute IMAT Program [R21CA214299]
- CALMIP [2016-P1541]
- Institut National Polytechnique de Toulouse
- Ecole Doctorale MEGeP, Toulouse
- NIH NINDS [R35 NS097265]
- NIH NIMH [R01 MH111438]
- National Science Foundation CAREER Award [1751797]
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1751797] Funding Source: National Science Foundation
- European Research Council (ERC) [615102] Funding Source: European Research Council (ERC)
Despite the key role of the capillaries in neurovascular function, a thorough characterization of cerebral capillary network properties is currently lacking. Here, we define a range of metrics (geometrical, topological, flow, mass transfer, and robustness) for quantification of structural differences between brain areas, organs, species, or patient populations and, in parallel, digitally generate synthetic networks that replicate the key organizational features of anatomical networks (isotropy, connectedness, space-filling nature, convexity of tissue domains, characteristic size). To reach these objectives, we first construct a database of the defined metrics for healthy capillary networks obtained from imaging of mouse and human brains. Results show that anatomical networks are topologically equivalent between the two species and that geometrical metrics only differ in scaling. Based on these results, we then devise a method which employs constrained Voronoi diagrams to generate 3D model synthetic cerebral capillary networks that are locally randomized but homogeneous at the network-scale. With appropriate choice of scaling, these networks have equivalent properties to the anatomical data, demonstrated by comparison of the defined metrics. The ability to synthetically replicate cerebral capillary networks opens a broad range of applications, ranging from systematic computational studies of structure-function relationships in healthy capillary networks to detailed analysis of pathological structural degeneration, or even to the development of templates for fabrication of 3D biomimetic vascular networks embedded in tissue-engineered constructs.
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