Hendrik Mattern

This paper introduces FCG, a technique that corrects spatiotemporal-varying phase errors in EPI using an MLP, improving image quality on high-performance systems.

This study uses 7 Tesla MRI to examine depth-dependent myelination patterns in hippocampal CA1 and links them to memory performance in younger adults.

The paper estimates 2D spatio-tactile population receptive fields in human BA3b using fMRI and finds that the ulnar-to-radial fingertip axis maps to a superior-to-inferior axis in BA3b.

This study uses 7T-fMRI to identify functional connectivity patterns in ALS patients that predict disease onset and progression, showing that disease-defining regions are not always the first behaviorally affected areas.

VesselBoost is a Python tool for segmenting small blood vessels in human MRA data using deep learning and data augmentation to overcome labeling challenges.

The paper investigates how age-related changes in cortical microstructure depend on proximity to veins in human brain regions using venous distance mapping and MRI data.

This study examines microglial phenotypic changes in human and murine cerebral small vessel disease under acute and chronic hypertension, identifying stage-specific morphological and surface marker alterations.

This study investigates stage-dependent molecular and cellular changes in a rat model of hypertension, revealing vascular and neural pathways linked to inflammation and cognitive dysfunction.

This study demonstrates that high-resolution 7T time-of-flight MRI can image pial arteries in vivo, showing that resolution, not blood flow speed, limits visualization of these vessels.

The paper shows that perceived and mentally rotated visual contents are represented in different cortical depth regions of V1, suggesting functional segregation through anatomical compartmentalization.