Bastian Cheng

The paper develops and validates LeAPP, an automated processing pipeline for stroke MRI data that improves volumetric and connectome reconstructions compared to standard pipelines.

This study identifies a latent clinical-anatomical dimension linking metabolic syndrome severity to brain morphology and cognition in 40,087 individuals.

This study compares the predictive power of resting-state fMRI features and individual characteristics for cognitive phenotypes in 20,000 UK Biobank subjects, finding individual characteristics generally perform better.

The paper examines age-related cortical thickness changes in a large cohort, linking them to structural and functional brain network topology and cognitive performance.

This study examines how tACS to secondary motor areas affects cortical oscillations in stroke patients, finding weak modulations in task-related connectivity metrics.

This paper models functional brain networks from structural connectivity data and compares them to EEG-derived networks, finding that structural connectivity explains a significant portion of functional variance.