Arterial stiffness, pressure and flow pulsatility and brain structure and function: the Age, Gene/Environment Susceptibility--Reykjavik study.
By Gary F. Mitchell, M. van Buchem, S. Sigurdsson, John D. Gotal, M. Jónsdóttir, O. Kjartansson, M. Garcia, T. Aspelund, Tamara B. Harris, V. Gudnason and 1 more. Brain : a journal of neurology, 2011
869 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine
View Paper: https://www.semanticscholar.org/paper/86dc3e5d6560e6e4d0a2b75b534d8e46e0e0cf95
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In Cardiology and Cardiovascular Medicine
Citations in the corpus
- Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning (2019, background): “Using information related to the pulsatility of the flow [27], clinicians are able to infer quantitative information about the pressure in the arterial vessels, e.g., large pulsatility is caused by large pressure [24].”
- Recommendations for Improving and Standardizing Vascular Research on Arterial Stiffness (2015, neutral): “Loss of impedance mismatch reduces the amount of wave reflection at the interface between aorta and proximal branch vessels and therefore increases transmission of excessive pulsatile energy into the periphery, where it may cause damage.(23,85,86) Increased aortic stiffness and excessive pressure pu”
- Large Artery Stiffness in Health and Disease: JACC State-of-the-Art Review (2019, background): “This has led to the proposition that increased PWV with aging produces impedance matching with the stiffer muscular arterial segments, reducing wave reflections at first order bifurcations (18).”