Bornemann, B.: Body awareness, voluntary physiological regulation, and their modulation by contemplative training. Dissertation, Humboldt University Berlin (2017)
Robust U-fibre connectivity mapping can be achieved in vivo in the early visual processing stream using combined diffusion weighted imaging and functional retinotopy
We characterize the cortical layers by biomechanical modeling and simulation of the developed human cortex tissue in-vivo using hyperelastic material models.
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.
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.
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.
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.
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.
Using a field strength of 7 Tesla, the "Arterial Blood Contrast" (ABC), which is based on the Magnetization Transfer effect, could be measured with an isotropic spatial resolution of 1.5 mm in combination with a conventional functional MRI contrast.
DeepcomplexMRI deep learnig reconstruction has been modified to process multi-echo MRI images. First results for different undersampling strategies suggest that performance is comparable to modern iterative algorithms like ENLIVE while taking only about 5 minutes to reconstruct a full 3D 1mm³/voxel resolved head image stack.
In this project, we study the resolution limits of different high-resolution functional magnetic resonance imaging (fMRI) methods to resolve differences within the cerebral cortex.