Zhengwu Zhang

BridgeBP converts structural connectivity matrices between different brain parcellation schemes to standardize network analyses and improve reproducibility.

This paper introduces CBSS, a framework for analyzing structural connectomes across multiple cohorts, showing its reliability and utility in cross-cohort diffusion MRI studies.

This paper introduces a Riemannian diffusion kernel method for continuous structural connectivity on cortical surfaces, showing improved density estimation compared to spherical heat kernels.

The paper validates the right superior longitudinal fasciculus (SLF) as a predictor of resilience to chronic back pain using multisite diffusion imaging data.

The paper develops a method to identify clique subgraphs in structural brain networks for classification, applied to study differences in crystallized cognition between adolescents.

This paper introduces a framework called surface-based connectivity integration (SBCI) to analyze structural and functional brain connectivity by using the white surface and shows it creates reproducible biomarkers reflecting SC-FC similarity.

The paper shows strong relationships between brain structural connectomes and human traits using advanced processing and dimensionality reduction techniques on large datasets.