Closed-loop baroreflex model with biophysically detailed afferent pathway.
baroreflex
biophysical model
cardiovascular model
computational model
hemorrhage
Journal
International journal for numerical methods in biomedical engineering
ISSN: 2040-7947
Titre abrégé: Int J Numer Method Biomed Eng
Pays: England
ID NLM: 101530293
Informations de publication
Date de publication:
25 Jul 2024
25 Jul 2024
Historique:
revised:
22
05
2024
received:
07
05
2023
accepted:
30
06
2024
medline:
26
7
2024
pubmed:
26
7
2024
entrez:
26
7
2024
Statut:
aheadofprint
Résumé
In this work, we couple a lumped-parameter closed-loop model of the cardiovascular system with a physiologically-detailed mathematical description of the baroreflex afferent pathway. The model features a classical Hodgkin-Huxley current-type model for the baroreflex afferent limb (primary neuron) and for the second-order neuron in the central nervous system. The pulsatile arterial wall distension triggers a frequency-modulated sequence of action potentials at the afferent neuron. This signal is then integrated at the brainstem neuron model. The efferent limb, representing the sympathetic and parasympathetic nervous system, is described as a transfer function acting on heart and blood vessel model parameters in order to control arterial pressure. Three in silico experiments are shown here: a step increase in the aortic pressure to evaluate the functionality of the reflex arch, a hemorrhagic episode and an infusion simulation. Through this model, it is possible to study the biophysical dynamics of the ionic currents proposed for the afferent limb components of the baroreflex during the cardiac cycle, and the way in which currents dynamics affect the cardiovascular function. Moreover, this system can be further developed to study in detail each baroreflex loop component, helping to unveil the mechanisms involved in the cardiovascular afferent information processing.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e3849Subventions
Organisme : CNPq and Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 162050/2014-3
Organisme : CNPq and Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 301224/2016-1
Organisme : CNPq and Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 407751/2018-1
Organisme : CNPq and Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 301636/2019-2
Organisme : FAPESP
ID : 2014/50889-7
Organisme : FAPESP
ID : 2018/14221-2
Informations de copyright
© 2024 John Wiley & Sons Ltd.
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