The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Vascular Graph Model to Simulate the Cerebral Blood Flow in Realistic Vascular Networks
Open accessAbstract
At its most fundamental level, cerebral blood flow (CBF) may be modeled as fluid flow driven through a network of resistors by pressure gradients. The composition of the blood as well as the cross-sectional area and length of a vessel are the major determinants of its resistance to flow. Here, we introduce a vascular graph modeling framework based on these principles that can compute blood pressure, flow and scalar transport in realistic vascular networks. By embedding the network in a computational grid representative of brain tissue, the interaction between the two compartments can be captured in a truly three-dimensional manner and may be applied, among others, to simulate oxygen extraction from the vessels. Moreover, we have devised an upscaling algorithm that significantly reduces the computational expense and eliminates the need for detailed knowledge on the topology of the capillary bed. The vascular graph framework has been applied to investigate the effect of local vascular dilation and occlusion on the flow in the surrounding network.
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Cites
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Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
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Penetrating arterioles are a bottleneck in the perfusion of neocortex
Nishimura, N., Schaffer, C. B., Friedman, B., Lyden, P. D., & Kleinfeld, D. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609551104 · Cited by 367
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Cited by
Hamilton, N. B. (2010) · Frontiers in Neuroenergetics · doi:10.3389/fnene.2010.00005 · Cited by 513
The capillary bed offers the largest hemodynamic resistance to the cortical blood supply
Gould, I. G., Tsai, P., Kleinfeld, D., & Linninger, A. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16671146 · Cited by 252
A hemodynamic model for layered BOLD signals
Heinzle, J., Koopmans, P. J., den Ouden, H. E. M., Raman, S., & Stephan, K. E. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.025 · Cited by 144
Metadata
- Authors
- Reichold, J., Stampanoni, M., Keller, A. L., Buck, A., Jenny, P., & Weber, B.
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 2009-05-13
- Volume
- 29
- Issue
- 8
- Pages
- 1429-1443
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- OpenAlex
- W2139528660
- Cited by
- 191
- References
- 5
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Reichold, J., Stampanoni, M., Keller, A. L., Buck, A., Jenny, P., & Weber, B. (2009). Vascular Graph Model to Simulate the Cerebral Blood Flow in Realistic Vascular Networks. Journal of Cerebral Blood Flow & Metabolism. https://doi.org/10.1038/jcbfm.2009.58
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