Saskia Bollmann

This paper measures blood velocity response timing across the vascular network using dynamic PC-fMRA, showing arterial and venous responses with distinct temporal delays.

The paper maps mesoscopic vascular networks in the human brain using the BigBrain dataset, revealing non-uniform vascular density related to cortical areas.

This study uses ultra-high field fMRI to identify columnar-like functional patterns in human somatosensory cortex through vibration stimulation and cortical surface modelling.

This paper introduces a fast whole-brain MRI protocol for mesoscopic venous imaging in humans, enabling detailed vascular mapping in under seven minutes without contrast agents.

This paper tests T1-weighted fMRI with iron oxide nanoparticles and UTE imaging at 9.4T to detect functional hyperaemia in mouse visual cortex, showing positive signal changes in both parenchyma and pial surface.

This study introduces a new fMRA method to measure dynamic blood velocity responses in human posterior cerebral arteries during visual stimulation, showing a 10% increase in velocity and indicating neurovascular coupling.

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

Neurodesk provides a portable and reproducible neuroimaging analysis platform using software containers to enable accessible and flexible data analysis pipelines.

The paper provides a high-resolution T2* MRI dataset of the human brain at 7 Tesla, revealing cortical substructures and consistent depth-dependent T2* values across subjects.

The paper develops a model to predict depth-dependent VASO and BOLD responses in human primary visual cortex and finds that CBV changes mainly occur in small arterioles and capillaries.

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.

PREPAIR corrects physiological noise in fMRI data using phase and magnitude information, outperforming existing methods without external recordings.

TAPAS provides open-source tools for computational assays in psychiatry to support differential diagnosis and treatment prediction through end-to-end pipelines.

The paper uses Bayesian population receptive field modeling to estimate somatosensory pRFs in human primary somatosensory cortex and finds larger representations for the index finger and larger pRF sizes for the little finger.