Matches in SemOpenAlex for { <https://semopenalex.org/work/W2784291636> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W2784291636 abstract "A computational method is presented for generating synthetic, random 3D capillary networks which match the topological, geometrical and functional properties of the cerebral microcirculation. These networks, which can be generated in volumes larger than can currently be extracted by high-resolution imaging, can then be coupled to lower-resolution data sets of whole-brain vasculature to model blood flow and mass transport, and to validate equivalent continuum/hybrid models. Another motivation is to reveal the dominant structural features of cerebral capillary networks, which can then be tuned to model different brain regions or pathological states such as Alzheimer’s disease. Previous works [1, 2] lacked physiological basis, and although resulting networks conformed to expected global morphometric properties, were not subjected to thorough topological or functional analysis.In contrast, our approach is based on the physiological assumption that the maximum separation of tissue cells from the nearest capillary is limited by the diffusion distance of oxygen [3]. Previously, synthetic, space-filling 2D networks were constructed by placing one point randomlyin each cell of an n × n grid; from this set of points, Voronoi diagrams were extracted with the edges producing a 2D network with mainly three capillaries per vertex, a characteristic feature of cerebral capillary networks. Here, we extend this approach to 3D.In 3D, Voronoi diagrams produce polyhedrons with many capillaries per vertex. To derive a network with only bifurcations, clusters of vertices were systematically merged and capillaries then removed randomly. Geometrical metrics such as the mean/S.D. of lengths and edge/length/vertex densities were compared to those of capillary regions extracted from mouse cerebral anatomical data sets [5, 6]. Capillary loops were studied to measure the interconnected network topology, while the distribution of extravascular distances allowed comparison of thespatial arrangement of capillaries. Finally, hemodynamic properties were captured through the network permeability. Overall, synthetic networks showed excellent agreement with the anatomical data.This work was supported by ERC BrainMicroFlow GA615102. We acknowledge D. Kleinfeld, P. Tsai and P. Blinder for kindly sharing their anatomical data with us." @default.
- W2784291636 created "2018-01-26" @default.
- W2784291636 creator A5021541799 @default.
- W2784291636 creator A5054075937 @default.
- W2784291636 creator A5072209216 @default.
- W2784291636 creator A5075453232 @default.
- W2784291636 creator A5079414165 @default.
- W2784291636 creator A5084924140 @default.
- W2784291636 date "2017-10-01" @default.
- W2784291636 modified "2023-09-27" @default.
- W2784291636 title "Structural and hemodynamic comparison of anatomical and synthetic cerebral capillary networks" @default.
- W2784291636 hasPublicationYear "2017" @default.
- W2784291636 type Work @default.
- W2784291636 sameAs 2784291636 @default.
- W2784291636 citedByCount "0" @default.
- W2784291636 crossrefType "journal-article" @default.
- W2784291636 hasAuthorship W2784291636A5021541799 @default.
- W2784291636 hasAuthorship W2784291636A5054075937 @default.
- W2784291636 hasAuthorship W2784291636A5072209216 @default.
- W2784291636 hasAuthorship W2784291636A5075453232 @default.
- W2784291636 hasAuthorship W2784291636A5079414165 @default.
- W2784291636 hasAuthorship W2784291636A5084924140 @default.
- W2784291636 hasConcept C11413529 @default.
- W2784291636 hasConcept C114614502 @default.
- W2784291636 hasConcept C121332964 @default.
- W2784291636 hasConcept C132525143 @default.
- W2784291636 hasConcept C153180895 @default.
- W2784291636 hasConcept C154945302 @default.
- W2784291636 hasConcept C184720557 @default.
- W2784291636 hasConcept C185877587 @default.
- W2784291636 hasConcept C186060115 @default.
- W2784291636 hasConcept C196806460 @default.
- W2784291636 hasConcept C24881265 @default.
- W2784291636 hasConcept C2524010 @default.
- W2784291636 hasConcept C33923547 @default.
- W2784291636 hasConcept C41008148 @default.
- W2784291636 hasConcept C80899671 @default.
- W2784291636 hasConcept C86803240 @default.
- W2784291636 hasConcept C97355855 @default.
- W2784291636 hasConceptScore W2784291636C11413529 @default.
- W2784291636 hasConceptScore W2784291636C114614502 @default.
- W2784291636 hasConceptScore W2784291636C121332964 @default.
- W2784291636 hasConceptScore W2784291636C132525143 @default.
- W2784291636 hasConceptScore W2784291636C153180895 @default.
- W2784291636 hasConceptScore W2784291636C154945302 @default.
- W2784291636 hasConceptScore W2784291636C184720557 @default.
- W2784291636 hasConceptScore W2784291636C185877587 @default.
- W2784291636 hasConceptScore W2784291636C186060115 @default.
- W2784291636 hasConceptScore W2784291636C196806460 @default.
- W2784291636 hasConceptScore W2784291636C24881265 @default.
- W2784291636 hasConceptScore W2784291636C2524010 @default.
- W2784291636 hasConceptScore W2784291636C33923547 @default.
- W2784291636 hasConceptScore W2784291636C41008148 @default.
- W2784291636 hasConceptScore W2784291636C80899671 @default.
- W2784291636 hasConceptScore W2784291636C86803240 @default.
- W2784291636 hasConceptScore W2784291636C97355855 @default.
- W2784291636 hasLocation W27842916361 @default.
- W2784291636 hasOpenAccess W2784291636 @default.
- W2784291636 hasPrimaryLocation W27842916361 @default.
- W2784291636 hasRelatedWork W1975061090 @default.
- W2784291636 hasRelatedWork W2040984716 @default.
- W2784291636 hasRelatedWork W2129560875 @default.
- W2784291636 hasRelatedWork W2283725649 @default.
- W2784291636 hasRelatedWork W84113361 @default.
- W2784291636 hasRelatedWork W1549420306 @default.
- W2784291636 isParatext "false" @default.
- W2784291636 isRetracted "false" @default.
- W2784291636 magId "2784291636" @default.
- W2784291636 workType "article" @default.