Anneke Alkemade

This paper creates a 3D histological atlas of nigrosomes in the substantia nigra aligned to MNI152 space, enabling MRI analysis of these structures in Parkinson's disease.

This study evaluates how protocol and hardware differences affect pooling quantitative MRI data across sites in healthy aging studies, finding both benefits and drawbacks for analysis outcomes.

The paper uses mesoscale imaging to show cerebellar cortex heterogeneity in morphology, vasculature, and cytoarchitecture, challenging the notion of uniformity.

This study uses joint models to analyze human subcortical contributions to choice and learning, finding subcortical regions involved in decision urgency and reward prediction error processing.

This study maps age-related changes in 17 human subcortical structures using in vivo 7 T MRI, revealing shifts in location and properties across the adult lifespan.

The paper links MRI relaxation rate in substantia nigra to iron concentration in dopaminergic neurons, enabling early Parkinson's disease detection.

This paper introduces a new open-source algorithm for automatically parcellating subcortical structures in MRI data, validated against experts and tested on 17 structures.

This study compares 3T and 7T MRI for parcellating subcortical brain structures, finding 7T provides better interrater agreement and contrast-to-noise ratios for smaller structures.

This paper introduces a denoising technique for multi-parametric quantitative MRI that improves signal-to-noise ratio without compromising spatial accuracy or creating spurious boundaries.