PhD student to study brain metabolism and clearance in dementia using 7 Tesla MRI
In this PhD you will develop advanced MRI technologies to detect and monitor key brain processes in dementia. You will focus on optimizing 7T MRI methods to map metabolic changes, such as glucose metabolism, within the Precision Imaging group.
CHIME: Cerebral HemodynamIcs, Metabolism and clearancE: A comprehensive, non-invasive brain imaging approach to characterize key biological processes in dementia
Worldwide, 55 million people live with dementia, primarily caused by Alzheimer's disease. While it cannot be cured, improving detection of biological processes leading to dementia may enhance understanding of the disease, disease monitoring, and early diagnosis. Developing reliable MRI-based technologies for detecting and tracking these biomarkers is the goal of our CHIME-consortium.
In this PhD-position you will have the opportunity to develop, optimize and validate advanced MR-based methods, for 7 Tesla MRI, that provide quantitative maps of dynamic metabolic processes in the brain. This includes MR sequence optimization and advanced post-processing of MR data. Your project will focus on understanding metabolic changes in dementia (e.g., changes in glucose metabolism, ATP production, oxygen supply, and regulation of neuroinflammation), all related to neurodegeneration and neuroinflammation. You will work towards integrating information on energy metabolism and supply, by improving established MRS techniques like 31P-MRS imaging (MRSI) and by developing novel approaches such as deuterium MRSI.
The position is hosted by the Precision Imaging group of the Centre of Image Sciences in the UMC Utrecht. Our research focuses on multiparametric body and brain imaging of structure and function in health and disease, with particular emphasis on i) development of tools for improved, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies.
You will collaborate closely with clinical and technical project partners, including PhD students and postdoctoral researchers within the CHIME consortium. This collaboration spans institutions such as UMC Utrecht, Leiden UMC and Erasmus MC.
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