Yapei Xie

97% of 184 high-impact biomedical AI studies compare cross-validated models with tests assuming fold independence; in 69% of re-analyzable studies a significant comparison does not survive correction.

The paper examines how stable and changing brain network features predict cognitive development in adolescents using rs-fMRI and cognitive data from the ABCD Study.

This study investigates the Kuleshov effect using authentic films and fMRI, confirming its existence through behavioral and neural responses to face-scene-face sequences.

The paper estimates the whole-cortex excitation-inhibition ratio using fMRI and shows it declines during youth, with lower ratios linked to better cognitive performance in children.

This study identifies altered brain network dynamics and associated transcriptomic signatures in autism spectrum disorder using resting-state fMRI and postmortem gene expression data from the ABIDE dataset.