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dc.date.accessioned2020-01-14T09:06:44Z
dc.date.available2020-01-14T09:06:44Z
dc.date.issued2020
dc.identifier.urihttp://hdl.handle.net/10852/72174
dc.description.abstractDementia is a growing concern for the health-care in the world and most treatment strategies are not successful. Dementia is associated with accumulation of metabolic waste in the form of protein fragments. Recent breakthroughs have suggested that the accumulation of waste is caused by malfunction of clearance mechanism, called the glymphatic system, that provides bulk flow through the extracellular matrix. To what extent this system accelerates transport provided by extracellular diffusion, is an open question. Recent research also shows that transport can be accelerated during sleep and by deep breathing. In this work, I have investigated the enrichment and clearance of a tracer in the brain using magnetic resonance imaging (MRI), developed methods for constructing computational geometries from MRI and evaluated the tracer diffusion using patient-specific computational simulations. The medical data used in this study are novel imaging recently performed at Rikshopspitalet where MRI tracer was administrated into fluid compartment along the spine and transported up and into the brain. Based on these data I have analyzed the tracer movement, and observed that the tracer had a brain-wide distribution. Additionally, this thesis aims to provide methodology and software tools for constructing computational geometries from brain MRI in a patient-specific manner. In particular, I have solved PDE constrained optimization problems with finite elements to assess the efficiency of the transport mechanism in a patient-specific manner. Compared to controls, in the patients with dementia the tracers demonstrated a slower clearance. Thus suggesting a brain-wide clearance system and an impairment in the waste-removal in dementia. Additionally, these observations may provide the possibility for a new and more effective method for administrating medicine to the brain. Diffusion coefficients were found to be higher than the expected, henceforth diffusion alone does not explain the clearance of waste from the brain.en_US
dc.language.isoenen_US
dc.relation.haspartPaper I: Ringstad, G., Valnes, L. M., Dale, A. M., Pripp, A. H., Vatnehol, S.-A. S., Emblem, K. E., Mardal, K.-A., and Eide, P. K. “Brain-wide glymphatic enhancement and clearance in humans assessed with MRI”. JCI insight vol. 3, no. 13 (2018). doi:10.1172/jci.insight.121537. The paper is included in the thesis. Also available in DUO: http://urn.nb.no/URN:NBN:no-73922
dc.relation.haspartPaper II: Eide, P. K., Valnes, L. M., Pripp, A. H., Mardal, K.-A., and Ringstad, G. “Delayed clearance of cerebrospinal fluid tracer from choroid plexus in idiopathic normal pressure hydrocephalus”. Journal of Cerebral Blood Flow & Metabolism, 2019. doi: 10.1177/0271678X19874790. The paper is included in the thesis. Also available at https://doi.org/10.1177/0271678X19874790
dc.relation.haspartBook Excerpt III: Kent-Andre Mardal, Marie E. Rognes, Travis B. Thompson and Lars M. Valnes. ‘An introduction to meshing and mathematical modeling for the human brain: From magnetic resonance images to finite element simulations’. In preparation for submission. To be published. The paper is not available in DUO awaiting publishing.
dc.relation.haspartPaper IV: Lars Magnus Valnes, Sebastian K. Mitusch, Geir Ringstad, Per Kristian Eide, Simon W. Funke, Kent-Andre Mardal. ‘Can diffusion alone explain brain-wide distribution of CSF tracers within 24 hours?’ in preparation for submission. To be published. The paper is not available in DUO awaiting publishing.
dc.relation.urihttp://urn.nb.no/URN:NBN:no-73922
dc.relation.urihttps://doi.org/10.1177/0271678X19874790
dc.titlePatient-specific Modeling of the Human Brain using Magnetic Resonance Imagingen_US
dc.typeDoctoral thesisen_US
dc.creator.authorValnes, Lars Magnus
dc.identifier.urnURN:NBN:no-75288
dc.type.documentDoktoravhandlingen_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/72174/1/PhD-Valnes-2020.pdf


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