Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows

Quantifying the flow of cerebrospinal fluid (CSF) is crucial for understanding brain waste clearance and nutrient delivery, as well as edema in pathological conditions such as stroke. However, existing in vivo techniques are limited to sparse velocity measurements in pial perivascular spaces (PVSs)...

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Detalles Bibliográficos
Autores principales: Boster, Kimberly A. S., Cai, Shengze, Ladrón-de-Guevara, Antonio, Sun, Jiatong, Zheng, Xiaoning, Du, Ting, Thomas, John H., Nedergaard, Maiken, Karniadakis, George Em, Kelley, Douglas H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Physical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083563/
https://www.ncbi.nlm.nih.gov/pubmed/36989300
http://dx.doi.org/10.1073/pnas.2217744120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083563/
https://www.ncbi.nlm.nih.gov/pubmed/36989300
http://dx.doi.org/10.1073/pnas.2217744120

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