The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Computational models for cardiomyocyte action potentials (AP) often make use of a large parameter set. This parameter set can contain some elements that are fitted to experimental data independently of any other element, some elements that are derived concurrently with other elements to match experimental data, and some elements that are derived purely from phenomenological fitting to produce the...
The electrical activation sequence of the ventricles follows a complex pattern which ensures an efficient contraction and subsequent blood pumping. Today, electrical therapies are often used to correct those behaviors, although a-priori it is unknown how the activation sequence will change. In this paper, we study changes in the activation pattern using electrical simulations based on both phenomenological...
Here we describe new computational models of cardiac electromechanics starting from the cellular scale and building to the tissue, organ and system scales. We summarize application to human genetic diseases (LQT1 and LQT3) and to modeling of congestive heart failure.
This paper describes a macroscopic neurophysiologically relevant model of the entorhinal cortex (EC), a brain structure largely involved in human mesio-temporal lobe epilepsy. This model is intervalidated in the experimental framework of ictogenesis animal model (isolated guinea-pig brain perfused with bicuculline). Using sensitivity and stability analysis, an investigation of model parameters related...
Driven by the need for a more anatomically realistic ventricular model and with access to greater computational power the Auckland porcine ventricular model has been re-engineered based on the original anatomical recordings. The model retains an accurate representation of the ventricular geometry including the apex and valve rings and also the underlying tissue microstructure. A computational modeling...
A mathematical model of whole-body metabolism is developed to predict glucose homeostasis during exercise by using a hormonal controller over cellular metabolic processes. Model simulations were validated with experimental data from exercise studies in humans. The exercise-induced changes in hormonal signals modulated metabolic flux rates of various tissues in a coordinated way to maintain blood glucose...
Driven by the need for a more anatomically realistic ventricular model and with access to greater computational power the Auckland porcine ventricular model has been re-engineered based on the original anatomical recordings. The model retains an accurate representation of the ventricular geometry including the apex and valve rings and also the underlying tissue microstructure. A computational modeling...
A mathematical model of whole-body metabolism is developed to predict glucose homeostasis during exercise by using a hormonal controller over cellular metabolic processes. Model simulations were validated with experimental data from exercise studies in humans. The exercise-induced changes in hormonal signals modulated metabolic flux rates of various tissues in a coordinated way to maintain blood glucose...
A preliminary computational model for obsessive compulsive disorder is developed using neuro-circuitry information and systems biology principles. The model captures the salient features of the neuro-psychiatric disorder reported in the literature. Studies are on-going to model in more detail both the intra-cellular and extra-cellular features of the model, within the framework proposed.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.