ArticlePLoS computational biology2013
Modeling the afferent dynamics of the baroreflex control system.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
22 citing papers in PubMed, 49 citations in OpenAlex.
- A compartmental model for simulating the gut-brain axis in gastric function regulation.Frontiers in physiology · 2026Article
- A 3D-1D-0D multiscale model of the neuro-glial-vascular unit for synaptic and vascular dynamics in the dorsal vagal complex.Journal of mathematical biology · 2025Article
- A model of anaerobic tissue perfusion during trauma-Lactate trajectory curvature can determine recovery.PLoS computational biology · 2025Article
- A Compartmental Model for Simulating the Gut-Brain Axis in Gastric Function Regulation.bioRxiv : the preprint server for biology · 2025Article
- Sensitivity analysis of closed-loop one-chamber and four-chamber models with baroreflex.PLoS computational biology · 2024Article
- Modelling hemodynamics regulation in rats and dogs to facilitate drugs safety risk assessment.Frontiers in pharmacology · 2024Article
- Nonlinear Closed-Loop Predictive Control of Heart Rate and Blood Pressure Using Vagus Nerve Stimulation: An In Silico Study.IEEE transactions on bio-medical engineering · 2023Article
- Controls of Central and Peripheral Blood Pressure and Hemorrhagic/Hypovolemic Shock.Journal of clinical medicine · 2023Review
- A multiscale model of the cardiovascular system that regulates arterial pressure via closed loop baroreflex control of chronotropism, cell-level contractility, and vascular tone.Biomechanics and modeling in mechanobiology · 2022Article
- Linear and nonlinear identification of the carotid sinus baroreflex in the very low-frequency range.Physiological reports · 2022Article
- Data Driven Control of Vagus Nerve Stimulation for the Cardiovascular System: AnFrontiers in physiology · 2022Article
- A model-based analysis of autonomic nervous function in response to the Valsalva maneuver.Journal of applied physiology (Bethesda, Md. : 1985) · 2019Article
- Parameter subset selection techniques for problems in mathematical biology.Biological cybernetics · 2019Article
- Cardiovascular regulation in response to multiple hemorrhages: analysis and parameter estimation.Biological cybernetics · 2019Article
- Towards precision critical care management of blood pressure in hemorrhagic stroke patients using dynamic linear models.PloS one · 2019Article
- Modeling the differentiation of A- and C-type baroreceptor firing patterns.Journal of computational neuroscience · 2017Article
- A Model of Blood Pressure, Heart Rate, and Vaso-Vagal Responses Produced by Vestibulo-Sympathetic Activation.Frontiers in neuroscience · 2016Article
- Simulation of short-term pressure regulation during the tilt test in a coupled 3D-0D closed-loop model of the circulation.Biomechanics and modeling in mechanobiology · 2015Article
- Identification of neural firing patterns, frequency and temporal coding mechanisms in individual aortic baroreceptors.Frontiers in computational neuroscience · 2015Article
- Structural correlation method for model reduction and practical estimation of patient specific parameters illustrated on heart rate regulation.Mathematical biosciences · 2014Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
In this study we develop a modeling framework for predicting baroreceptor firing rate as a function of blood pressure. We test models within this framework both quantitatively and qualitatively using data from rats. The models describe three components: arterial wall deformation, stimulation of mechanoreceptors located in the BR nerve-endings, and modulation of the action potential frequency. The three sub-systems are modeled individually following well-established biological principles. The first submodel, predicting arterial wall deformation, uses blood pressure as an input and outputs circumferential strain. The mechanoreceptor stimulation model, uses circumferential strain as an input, predicting receptor deformation as an output. Finally, the neural model takes receptor deformation as an input predicting the BR firing rate as an output. Our results show that nonlinear dependence of firing rate on pressure can be accounted for by taking into account the nonlinear elastic properties of the artery wall. This was observed when testing the models using multiple experiments with a single set of parameters. We find that to model the response to a square pressure stimulus, giving rise to post-excitatory depression, it is necessary to include an integrate-and-fire model, which allows the firing rate to cease when the stimulus falls below a given threshold. We show that our modeling framework in combination with sensitivity analysis and parameter estimation can be used to test and compare models. Finally, we demonstrate that our preferred model can exhibit all known dynamics and that it is advantageous to combine qualitative and quantitative analysis methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.