Research

In the Neurophysics department, we focus on the development, validation, and application of non-invasive, quantitative magnetic resonance imaging (MRI) methods for the human brain. We aim to measure features that are historically only visible under the microscope to study the brain's structural and functional micro-organization. Our imaging-tools open the doors to study brain development, individual differences, disease mechanisms and biomarkers in living humans. Our department has scientific experts working on all areas from the initial acquisition of the data at the MRI scanner to the final data analysis.

In this project, we investigate the brains of wild chimpanzees who died of natural causes at different developmental stages using high-resolution quantitative MRI and histology. [more]
We explore spatially resolved lipid imaging using matrix-assisted laser desorption/ionization (MALDI) as a method for validating MRI-based myelin biomarkers. [more]
We study the microanatomical properties of human white matter tracts with high-resolution light and electron microscopy with the goal to better interpret magnetic resonance imaging-based biophysical models of white matter properties. [more]
We linked the effective transverse relaxation rate R2* with dopaminergic cell densities and iron concentrations in nigrosome 1 by combining 3D quantitative iron histology, post mortem ultra-high resolution MRI, tissue deironing, and analytical modeling approaches. [more]
We characterize the cortical layers by biomechanical modeling and simulation of the developed human cortex tissue in-vivo using hyperelastic material models. [more]
Embedded in the clinical trial NISCI (Nogo inhibition in spinal cord injury: www.nisci-2020.eu), we employ whole brain quantitative imaging at 3 Tesla as a new biomarker for de- and regeneration. [more]
Robust U-fibre connectivity mapping can be achieved in vivo in the early visual processing stream using combined diffusion weighted imaging and functional retinotopy [more]
We work on improving reliability of quantitative parametric maps by correcting for rigid head motion and B0-fluctuations measured during acquisition at 7T as well as by employing general function approximators to correct for artifacts of unknown origin at 3T. [more]
We investigate the relationship between quantitative MRI (qMRI) at different cortical depths and cell counts, gene expression and white matter connections in the brain in order to provide novel biomarkers for tracking neurodegenerative diseases. [more]
In order to study the Basal Ganglia in relation to cortical areas, the used fMRI protocol has to be carefully adjusted with respect to its region of interest and the necessary signal under-sampling. We performed a study at a field strength of 7 Tesla investigating the dependence of the detected signal on the MR parameters employed. [more]
Transverse relaxation parameters are quantified in vivo for different cortical structures of the human brain at ultra-high field strength. [more]
Columnar structures in the human visual cortex are studied using high-resolution fMRI methods in order to localize the actual source of neural processing more precisely. [more]
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