Ai Peng Tan

This study shows that the development of long-range cortical connections leads to the emergence of hierarchical functional modes in the human cortex, shifting from geometrically driven patterns to sensory-association organization.

This study examines the impact of prenatal PFAS exposure on childhood brain development using MRI data, finding associations with cortical surface area and white matter microstructure changes.

Across 15 cohorts (birth to 24 years), 20 epigenetic clocks and eight brain age models predicted chronological age modestly, stabilizing by middle childhood; their age residuals were weakly associated.

This paper develops and benchmarks BrainAge models using multi-modal neuroimaging data from childhood cohorts to distinguish healthy from symptomatic developmental trajectories.

This study tests a brain age model on Singaporean children and elderly, finding that brain age gap change relates to future executive function in both groups.

This paper introduces DELSSOME, a deep learning framework that accelerates biophysical brain circuit model optimization, enabling faster parameter estimation and lifespan trajectory analysis of cortical E/I ratios.

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.

The paper develops homotopic local-global parcellations of the human cerebral cortex using resting-state and task-fMRI, showing improved homogeneity and lateralization compared to existing parcellations.

The paper shows that microglial function influences how depression risk factors affect depression outcomes differently in females compared to males across the life course.