Gustav Magnusson, MPPHS

​Title of Master Thesis: Mathematical modelling of the Human Physiology

​Abstract:

This master’s thesis is done with in the field of systems biology and aims at driving the development of mathematical models of human physiology forward, which is important for many reason, one being the potential reduction of animal testing. The work constitutes two, related, parts. One being the development of a new modelling framework to meet the new requirements of the ’Digital twin’- project. A project aimed at producing a platform from which users, such as patients, can interact with a large scale model of
themselves. The second part revolves around the development of a neu- rovascular coupling model, which is used to test the hypothesis that the post-stimulus response seen in a Blood Oxygen Level Dependent (BOLD) signal, measured by a Magnetic Resonance Imaging (MRI) camera, is due to a change in relative excitatory and inhibitory neural activity. The model also served as a test of the newly developed modelling framework. A first version of a digital twin software, where the new modelling framework is a central part, was successfully completed and is a good starting point for further development. The neurovascular model was successful in showing the capabilities of the new modelling framework but because of concerns regarding its validity could not give any definite support of the neural hypothesis. Instead, the work can be seen as a review of the
physiological and physical aspects surrounding the neurovascular coupling.​

​Supervisor: Gunnar Cedersund
Examiner: Peter Apell
Opponent: Niels Gießelmann

Category Student project presentation
Location: PJ, seminar room, Fysik Origo. NOTE! Entrance via Fysikgården 2, for external visitors.
Starts: 21 October, 2020, 10:15
Ends: 21 October, 2020, 11:15

Published: Tue 29 Sep 2020.