The PhD defence will be partially digital, in room 723, Niels Henrik Abels hus and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the audience to ask questions ex auditorio at the end of the defence. If you would like to ask a question, click 'Raise hand' and wait to be unmuted.
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Join the disputation
The webinar opens for participation just before the disputation starts, participants who join early will be put in a waiting room.-
Submit the request to get access to the thesis (available from 4th March 13:15 until 18th March 13:15)
Trial lecture
17th of March, time: 10.15 am, Zoom and room 720
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Join the trial lecture
The webinar opens for participation just before the trial lecture starts, participants who join early will be put in a waiting room.
Main research findings
In this thesis we consider two different kinds of brain malfunctions. The Chiari 1 malformation is characterised by abnormal cerebrospinal fluid (CSF) flow conditions surrounding the brain. The other malfunction we consider are seizures, which is the major focus of this thesis.
During a cardiac cycle, blood flows into the brain, and cerebrospinal fluid (CSF) flows out. In the Chiari 1malformation, the cerebellum protrudes into the spinal canal and obstructs this flow, leading to various neurological symptoms. We find that differences in CSF velocities measured by MRI and computed with computational fluid dynamics are more systematic than random.
Electroconvulsive therapy (ECT) is a treatment for severe depression. It involves inducing seizures in patients using electrical currents applied to the scalp. The seizures are generally believed to be important to the therapeutic effect, but there is no consensus of how ECT works.
We show that comparatively simple mathematical models reproduce features of frequency spectrum of the electric field measured by an electroencephalogram during a seizure. We also explore a possible link between EEG frequencies and brain volume changes observed in ECT patients.
Adjudication committee
Wissenschaftlicher Mitarbeiter Siwei Bai, Technical University of Munich
Professor Elena Celledoni, Norwegian University of Science and Technology (NTNU)
Associate Professor Ira Didenkulova, University of Oslo
Supervisors
Professor Kent-Andre Mardal, University of Oslo
PhD Ola Skavhaug, Expert Analytics
Professor Aslak Tveito, University of Oslo and Simula Research Laboratory
Associate Professor Leif Oltedal, University of Bergen
Chair of defence
Professor Arne Bang Huseby, University of Oslo
Host of the session
Associate Professor Ira Didenkulova, University of Oslo