Christopher Mezias

This study shows that directional bias in tau transmission along fiber tracts explains divergent spatiotemporal progression of tauopathies in mouse models.

The paper presents a multimodal, multiscale atlas of the mouse brain and head with high-resolution histology and co-registered MRI data, enabling better integration of molecular and connectivity data.

The paper establishes neuroanatomical correspondences between mouse and marmoset brains by analyzing atlas structures and creating a computational tool for comparative analysis.

Whole-brain snRNA-seq paired with Slide-seq assigns cell types to each mouse neuroanatomical structure; most clusters need at least three markers to be defined uniquely.

The paper introduces a computational pipeline called MISS to map diverse cell types in the murine brain using single-cell RNAseq and in situ hybridization data, showing improved accuracy through gene subset selection.

The paper develops a computational model of tau-modified axonal transport to show how directional biases in tau spread arise from transport feedback and conformation-specific dysregulation.

The paper uses a mathematical model to show that AD-like mouse models show retrograde tau spread biases, while non-AD-like models do not.

This paper introduces a generative framework to register multimodal, incomplete neuroimaging data into a reference brain atlas, enabling geometric quantification of biological and technical variation.