Debin Zeng

The paper identifies distinct hippocampal subfield signals for novelty detection, showing CA1 supports local associative mismatch while subiculum supports global item-based matching.

The paper quantifies spatiotemporal variability in functional parcellation and connectivity across development, finding distinct developmental trajectories and associations with brain structure and cognition.

This paper develops a graph neural network model to predict brain activity and quantify inter-regional interactions, showing it can distinguish Alzheimer's patients from controls.

This study investigates how multiscale structural brain gradients develop from childhood to adolescence and links these changes to cortical morphology and functional specialization.

This paper identifies a dual long-axis organization in the human hippocampus during youth, showing its role in cortical hierarchy maturation and functional reorganization.

The paper examines altered functional segregation in aMCI and AD using connectome gradients, finding distinct patterns of suppression and dispersion in brain networks.

The paper identifies functional activation patterns during pattern separation in the hippocampus and neocortex, showing alignment with intrinsic connectivity gradients and performance differences in patients.