Zijin Gu

The paper introduces Krakencoder, a tool that translates and fuses structural and functional brain connectomes across atlases and processing strategies, achieving higher identifiability than existing models.

This study introduces a graph-matching based metric to quantify functional connectome differences between individuals and finds it correlates with age, cognitive performance, and familial relationships.

The paper quantifies regional structural-functional connectome coupling in adults and finds it varies with age, sex, cognitive scores, and is highly heritable.

This paper compares models using observed and estimated connectivity networks to classify multiple sclerosis patients into disability groups, finding estimated networks perform better.