Biomedical Commons^™

Measuring The Accuracy Of Predictions From Patient-Specific Models Of Intracranial Pressure Dynamics, Wayne W. Wakeland

Complex Systems Faculty Publications and Presentations

Objective: Determine the prediction capability of a computer model of Intracranial pressure (ICP) dynamics.

Creating Clinically Useful In Silico Models Of Intracranial Pressure Dynamics, Wayne W. Wakeland, Joe Fusion, Brahm Goldstein

Complex Systems Faculty Publications and Presentations

To create clinically useful computer simulation models of intracranial pressure (ICP) dynamics by using prospective clinical data to estimate subject-specific physiologic parameters.

Using Optimization To Calibrate Models Of Intracranial Pressure Dynamics To Patients With Intracranial Hypertension, Wayne W. Wakeland, A. Bulbul, Mateo Aboy, James Mcnames, Brahm Goldstein

Complex Systems Faculty Publications and Presentations

Aim: Automatically calibrate ICP Dynamic model to a specific patients.

Method: Use optimization algorithm to estimate parameter values (ICP, compliances, resistances) that minimize the squared error in predicted ICP.

Results: Estimated parameter values are plausible and improve predicted ICP. Optimization time for 18 minute episode = 2.5 min. for 1 parameter, 10 to 200 min. for multiple simultaneous parameters (too long).

A Comparison Of System Dynamics And Agent-Based Simulationapplied To The Study Of Cellular Receptor Dynamics, Wayne W. Wakeland, Edward J. Gallaher, Louis Macovsky, C. Athena Aktipis

Complex Systems Faculty Publications and Presentations

Cellular receptor dynamics are often analyzed using differential equations, making system dynamics (SD) a candidate methodology. In some cases it may be useful to model the phenomena at the biomolecular level, especially when concentrations and reaction probabilities are low and might lead to unexpected behavior modes. In such cases, agent-based simulation (ABS) may be useful. We show the application of both SD and ABS to simulate non-equilibrium ligand-receptor dynamics over a broad range of concentrations, where the probability of interaction varies from low to very low. Both approaches offer much to the researcher and are complementary. We did not find …

Calibrating An Intracranial Pressure Dynamics Model With Clinical Data - A Progress Report, Wayne W. Wakeland, James Mcnames, Brahm Goldstein

Complex Systems Faculty Publications and Presentations

We describe the calibration of a computer model of intracranial pressure (ICP) dynamics to correspond with annotated clinical data taken from a patient being treated for elevated ICP due to a traumatic brain injury. The research protocol employed during treatment includes adjusting the elevation of the head of the bed, adjusting the ventilator settings to induce mild hyperventilation and hypoventilation, and adjusting the height of the cerebrospinal fluid drainage system. The model behavior corresponds to the experimental data quite well in the case of the changing the head of the bed, but less well in the case of changing the …

Modeling Intracranial Fluid Flows And Volumes During Traumatic Brain Injury To Better Understand Pressure Dynamics, Wayne W. Wakeland, James Mcnames, Mateo Aboy, D. Hollemon, Brahm Goldstein

Complex Systems Faculty Publications and Presentations

See additional files below for the Presentation.

We describe a computer model of intracranial pressure (ICP) dynamics that evaluates clinical treatment options for elevated ICP during traumatic brain injury (TBI). The model uses fluid volumes as primary state variables and explicitly models fluid flows as well as the resistance, compliance, and pressure associated with each intra - and extracranial compartment (arteries and arterioles, capillary bed, veins, venous sinus, ventricles, and brain parenchyma). The model evaluates clinical events and therapies such as intra - and extra-parenchymal hemorrhage, cerebral edema, cerebrospinal fluid drainage, mannitol administration, head elevation, and mild hyperventilation. The model …