Yize Zhao

The paper uses multimodal connectome data to identify patterns of functional and structural connectivity associated with disruptive behavior severity and change in youth.

The paper shows that aging macaques lose calbindin and gain pT217-tau in prefrontal cortical dendrites, linking calbindin loss to increased tau pathology and AD risk.

This study improves modeling of amyloid-β spread in Alzheimer's Disease using a gene-modulated network diffusion framework, showing better performance in correlation and replicability across cohorts.

This paper improves brain connectome analysis by incorporating global and local features, enhancing individual identification and phenotype prediction.

scMODAL is a deep learning framework for aligning single-cell multi-omics data using feature links, effectively removing unwanted variation and identifying cell subpopulations.

This study introduces H-VIP to quantify vertex contributions to topological cycles in brain networks and finds a positive correlation with cognitive measures in both structural and functional connectomes.

The paper examines amygdalar tau binding and connectivity in preclinical Alzheimer's disease, finding associations with anxiety symptoms.

The paper introduces a homological formalism to analyze higher-order properties of human brain functional sub-circuits and identifies task-specific homological differences in brain connectivity.