Young Hye Kwon

The paper defines the parietal memory network (PMN) using high-resolution fMRI and finds it extends beyond traditional regions to include multiple cortical areas.

The paper examines brain-behavior relationships using fMRI data and finds that neural similarity does not always correlate with behavioral similarity across different domains.

This paper introduces a connectome-to-connectome state transformation model to quantify brain reorganization across cognitive states using fMRI data.

The paper develops a universal attention measure from fMRI data that predicts both task-general and task-specific attention performance and their neural mechanisms across multiple tasks.

This study shows that a validated functional connectivity model predicts attention changes across time and under different sedation states.