ArticlePLoS computational biology2017
Depth-dependent flow and pressure characteristics in cortical microvascular networks.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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68 citing papers in PubMed.
- Loss of cerebral autoregulation drives abnormal perfusion patterns after stroke.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Pericyte KNature cardiovascular research · 2026Article
- Evaluation of the diffusion time dependence of the IVIM effect based on realistic capillary flow simulations in mouse brain.Magma (New York, N.Y.) · 2026Article
- Blood flow patterns in mice are regulated by interpericyte tunneling nanotubes connecting functionally-opposite neuronal areas.Nature communications · 2026Article
- Biophysical simulations of fMRI responses using realistic microvascular models: Insights into distinct hemodynamics in humans and mice.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Blood Flow Simulation and Uncertainty Quantification in Extensive Microvascular Networks: Application to Brain Cortical Networks.Microcirculation (New York, N.Y. : 1994) · 2025Article
- A theoretical model for oxygen transport to the cerebral cortex: effects of flow redistribution by penetrating arterioles.Microvascular research · 2025Article
- Impaired capillary-venous drainage contributes to gliosis and demyelination in mouse white matter during aging.Nature neuroscience · 2025Article
- Estimation of fluid flow velocities in cortical brain tissue driven by the microvasculature.Interface focus · 2025Article
- Depth-dependent contributions of various vascular zones to cerebral autoregulation and functional hyperemia: An in-silico analysis.PloS one · 2025Article
- Modeling of Blood Flow Dynamics in Rat Somatosensory Cortex.Biomedicines · 2024Article
- Bessel beam optical coherence microscopy enables multiscale assessment of cerebrovascular network morphology and function.Light, science & applications · 2024Article
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- An-Gong-Niu-Huang-Wan (AGNHW) regulates cerebral blood flow by improving hypoperfusion, cerebrovascular reactivity and microcirculation disturbances after stroke.Chinese medicine · 2024Article
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- Evaluation of the effect of hemodynamic factors on retinal microcirculation by using 3D confocal image-based computational fluid dynamics.Frontiers in bioengineering and biotechnology · 2024Article
- The role of leptomeningeal collaterals in redistributing blood flow during stroke.PLoS computational biology · 2023Article
- The Venular Side of Cerebral Amyloid Angiopathy: Proof of Concept of a Neglected Issue.Biomedicines · 2023Review
- Altered hemodynamics and vascular reactivity in a mouse model with severe pericyte deficiency.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Estimates of the permeability of extra-cellular pathways through the astrocyte endfoot sheath.Fluids and barriers of the CNS · 2023Article
8 more citing papers are in PubMed but not listed here.
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
A better knowledge of the flow and pressure distribution in realistic microvascular networks is needed for improving our understanding of neurovascular coupling mechanisms and the related measurement techniques. Here, numerical simulations with discrete tracking of red blood cells (RBCs) are performed in three realistic microvascular networks from the mouse cerebral cortex. Our analysis is based on trajectories of individual RBCs and focuses on layer-specific flow phenomena until a cortical depth of 1 mm. The individual RBC trajectories reveal that in the capillary bed RBCs preferentially move in plane. Hence, the capillary flow field shows laminar patterns and a layer-specific analysis is valid. We demonstrate that for RBCs entering the capillary bed close to the cortical surface (< 400 μm) the largest pressure drop takes place in the capillaries (37%), while for deeper regions arterioles are responsible for 61% of the total pressure drop. Further flow characteristics, such as capillary transit time or RBC velocity, also vary significantly over cortical depth. Comparison of purely topological characteristics with flow-based ones shows that a combined interpretation of topology and flow is indispensable. Our results provide evidence that it is crucial to consider layer-specific differences for all investigations related to the flow and pressure distribution in the cortical vasculature. These findings support the hypothesis that for an efficient oxygen up-regulation at least two regulation mechanisms must be playing hand in hand, namely cerebral blood flow increase and microvascular flow homogenization. However, the contribution of both regulation mechanisms to oxygen up-regulation likely varies over depth.
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