Regular ArticleImaging System for Three-Dimensional Mapping of Cerebrocortical Capillary Networks in Vivo
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Dominance of layer-specific microvessel dilation in contrast-enhanced high-resolution fMRI: Comparison between hemodynamic spread and vascular architecture with CLARITY
2019, NeuroImageCitation Excerpt :However, it remains to be determined whether these microvessels are capillaries or arterioles. Since the microvessel lengths in EPL are within the range of mean capillary segment lengths (56–112 μm range) reported in the rat and cat cortex (Hudetz, 1997; Hudetz et al., 1993; Mironov et al., 1994; Motti et al., 1986; Pawlik et al., 1981; Weiss et al., 1982), these microvessels can be capillaries. However, it is debatable whether capillaries that lack smooth muscle cells can actively regulate blood flow in vivo (Hall et al., 2014; Hill et al., 2015).
Dynamic model for the tissue concentration and oxygen saturation of hemoglobin in relation to blood volume, flow velocity, and oxygen consumption: Implications for functional neuroimaging and coherent hemodynamics spectroscopy (CHS)
2014, NeuroImageCitation Excerpt :A similar method, refined by the introduction of confocal microscopy and 3D digital morphometry, has led to statistical distributions of diameter and length of vascular segments in the human cerebral cortex, resulting in capillary diameters of 6.5 ± 1.7 μm and capillary lengths of 53 ± 50 μm (Lauwers et al., 2008). A number of animal studies on the cat and rat brain have reported capillary diameters of 2.5–8.8 μm (Hudetz et al., 1993; Motti et al., 1986; Pawlik et al., 1981; Schlageter et al., 1999), and segment lengths of 10–300 μm (Hudetz et al., 1993; Motti et al., 1986). Capillary flow velocity was found to be highly variable among capillaries within the range of 0.4–3.9 mm/s (median: 1.5 mm/s) in the cat cortex (Pawlik et al., 1981), and 0.77–2.22 mm/s (mean: 1.56 mm/s) in the rat cortex (Hudetz et al., 1993).
A computational model of hemodynamic parameters in cortical capillary networks
2011, Journal of Theoretical BiologyModeling the effects of vasculature evolution on early brain tumor growth
2006, Journal of Theoretical BiologyCitation Excerpt :Instead, using the random analog of the Krogh cylinder model presented in the Simulation Procedure section, we have produced a vascular network (Fig. 2) that does not reproduce an actual brain capillary network, but instead exhibits features that are typical of the brain's microvascular environment and is more physiologically relevant than the vasculature developed via the standard Krogh cylinder model. One observation that has been made about the microvascular network of the brain is that capillary density and network pattern varies from region to region (Hudetz et al., 1993). Our model captures this feature of the vasculature, as some areas of the tissue presented in Fig. 2 have a higher capillary density than others.