Biomarkers.

Background: To date, all computerised perivascular spaces (PVS) quantification methods require case-wise, imaging modality, or study-specific parameter adjustments, and suffer from generalisability problems in clinical settings, and misdetection of other cerebral small vessel disease (CSVD) markers. We propose a deep learning-based PVS detection method to overcome these issues. We compare our proposal on magnetic resonance imaging data of CSVD participants against the performance of the Frangi filter.

- a large-scale dataset of 3D medical shapes for computer vision.

Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).

Immune system activation and cognitive impairment in arterial hypertension.

Chronic arterial hypertension disrupts the integrity of the cerebral microvasculature, doubling the risk of age-related dementia. Despite sufficient antihypertensive therapy in still a significant proportion of individuals blood pressure lowering alone does not preserve cognitive health. Accumulating evidence highlights the role of inflammatory mechanisms in the pathogenesis of hypertension.

[Cardiovascular prevention in Saxony-Anhalt : Necessity and new perspectives].

Cardiovascular risk factors (high blood pressure, smoking, overweight, type 2 diabetes, dyslipidemia, physical inactivity) substantially rise with increasing age, particularly after middle age, whereby women are affected to a much greater extent. In the population of Saxony-Anhalt the prevalence of cardiovascular risk factors is clearly increased and the population structure in Saxony-Anhalt is particularly characterized by a high average age as well as high morbidity and mortality rates due to cardiovascular diseases. Saxony-Anhalt therefore provides a model character for the demographic development in Europe.

Age-related differences in human cortical microstructure depend on the distance to the nearest vein.

Age-related differences in cortical microstructure are used to understand the neuronal mechanisms that underlie human brain ageing. The cerebral vasculature contributes to cortical ageing, but its precise interaction with cortical microstructure is poorly understood. In a cross-sectional study, we combine venous imaging with vessel distance mapping to investigate the interaction between venous distances and age-related differences in the microstructural architecture of the primary somatosensory cortex, the primary motor cortex and additional areas in the frontal cortex as non-sensorimotor control regions.