Harald E. Möller

Observations of anisotropic paramagnetic and diamagnetic susceptibility in the primate brain

This study uses MRI and computational methods to show that paramagnetic substances contribute to susceptibility anisotropy in primate brain tissue, alongside diamagnetic components.

Ultra-high-field fMRI reveals layer-specific responses in the human spinal cord

This study uses ultra-high-field fMRI to reveal layer-specific responses in the human spinal cord during heat-pain stimulation, identifying phasic and tonic response components in dorsal horn layers.

High Angular Resolution Susceptibility Imaging and Estimation of Fiber Orientation Distribution Functions in Primate Brain

This paper introduces HARSI, a new method for estimating fiber orientation distribution functions in fixed primate brains, showing it can capture complex fiber configurations comparable to HARDI.

High-Resolution Magnetization-Transfer Imaging of Post-Mortem Marmoset Brain: Comparisons with Relaxometry and Histology

The paper measures magnetization-transfer (MT) and relaxometry parameters in fixed marmoset brain tissue and compares them with histology to assess their correlation with myelin and iron content.

Improving fMRI in Parkinson's Disease by Accounting for Brain Region-Specific Activity Patterns

The paper improves fMRI analysis in Parkinson's Disease by integrating kinematic data and event-related modeling to better detect subcortical activations and medication effects.

Rapid volumetric brain changes after acute psychosocial stress

This study examines rapid volumetric brain changes after acute psychosocial stress using MRI and finds significant group-by-time interactions in grey matter volume and associations with stress measures.

Multi-Echo Investigations of Positive and Negative CBF and Concomitant BOLD Changes

The paper investigates the relationship between cerebral blood flow (CBF) and negative BOLD responses (NBR) in the human visual cortex, comparing them to positive BOLD responses (PBR) using multi-echo imaging techniques.

Increased Sensitivity and Signal-to-Noise Ratio in Diffusion-Weighted MRI using Multi-Echo Acquisitions

This paper introduces a Multi-Echo dMRI method to improve SNR and reduce noise bias in post-mortem diffusion MRI, validated on a chimpanzee brain.

PyRates - A Python Framework for Rate-Based Neural Simulations

The paper introduces PyRates, a Python framework for building and simulating rate-based neural models, demonstrating its efficiency and scalability through benchmark simulations.