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High Spatial Resolution Multi-Organ Finite Element Modeling of Ventricular-Arterial Coupling

Overview of attention for article published in Frontiers in Physiology, March 2018
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Title
High Spatial Resolution Multi-Organ Finite Element Modeling of Ventricular-Arterial Coupling
Published in
Frontiers in Physiology, March 2018
DOI 10.3389/fphys.2018.00119
Pubmed ID
Authors

Mohammad Shavik, Zhenxiang Jiang, Seungik Baek, Lik Chuan Lee

Abstract

While it has long been recognized that bi-directional interaction between the heart and the vasculature plays a critical role in the proper functioning of the cardiovascular system, a comprehensive study of this interaction has largely been hampered by a lack of modeling framework capable of simultaneously accommodating high-resolution models of the heart and vasculature. Here, we address this issue and present a computational modeling framework that couples finite element (FE) models of the left ventricle (LV) and aorta to elucidate ventricular-arterial coupling in the systemic circulation. We show in a baseline simulation that the framework predictions of (1) LV pressure-volume loop, (2) aorta pressure-diameter relationship, (3) pressure-waveforms of the aorta, LV, and left atrium (LA) over the cardiac cycle are consistent with the physiological measurements found in healthy human. To develop insights of ventricular-arterial interactions, the framework was then used to simulate how alterations in the geometrical or, material parameter(s) of the aorta affect the LV and vice versa. We show that changing the geometry and microstructure of the aorta model in the framework led to changes in the functional behaviors of both LV and aorta that are consistent with experimental observations. On the other hand, changing contractility and passive stiffness of the LV model in the framework also produced changes in both the LV and aorta functional behaviors that are consistent with physiology principles.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Researcher 3 8%
Student > Bachelor 2 5%
Lecturer 2 5%
Professor > Associate Professor 2 5%
Other 5 13%
Unknown 13 34%
Readers by discipline Count As %
Engineering 17 45%
Unspecified 1 3%
Agricultural and Biological Sciences 1 3%
Mathematics 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 16 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 March 2018.
All research outputs
#20,466,701
of 23,025,074 outputs
Outputs from Frontiers in Physiology
#9,488
of 13,773 outputs
Outputs of similar age
#293,066
of 331,404 outputs
Outputs of similar age from Frontiers in Physiology
#272
of 382 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,773 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.