Ze Wang

Trustworthy ML/AI for Aging Clocks: Preventing Systematic Prediction Bias in Biological Age Estimation

This paper identifies systematic prediction bias in aging clocks and introduces a constrained optimization framework to improve calibration and downstream inference.

Age-dependent effects of intranasal oxytocin administration were revealed by resting brain entropy (BEN)

This study examines how intranasal oxytocin affects brain entropy in young and old adults using fMRI-based mapping and finds age-dependent changes in brain activity.

Lifespan trajectories, metabolic associations, and links to fluid intelligence of brain temporal dynamics characterized by Multiscale Entropy

This study uses multiscale entropy to analyze brain dynamics across aging, showing age-related changes in entropy and its links to metabolism and fluid intelligence.

The Relationships of Resting-state Brain Entropy (BEN), Ovarian Hormones and Behavioral Inhibition and Activation Systems (BIS/BAS)

This study investigates the relationship between resting-state brain entropy (BEN), ovarian hormones, and behavioral inhibition and activation systems (BIS/BAS) using fMRI data.

Intermittent theta burst stimulation (iTBS)-induced changes of resting-state brain entropy (BEN)

This study examines how different intensities of iTBS affect brain entropy in healthy participants using resting-state fMRI data.

rsfMRI-based Brain Entropy is negatively correlated with Gray Matter Volume and Surface Area

This study examines the relationship between brain entropy derived from resting-state fMRI and brain morphology metrics, finding negative correlations with gray matter volume and surface area.

Reproducible Brain Entropy (BEN) Alterations During Rumination

This study uses Brain Entropy (BEN) to analyze fMRI data and identifies distinct neural patterns associated with rumination compared to other mental states.

Phenotype Prediction Using BEN-Based Predictive Modeling (BPM)

This study introduces BEN-Based Predictive Modeling (BPM) to predict phenotypes using brain entropy (BEN) and gray matter volume (GMV), showing it outperforms GMV-based models and matches connectome-based predictive modeling (CPM) accuracy.

Neurotransmitters Contribute Structure-Function Coupling: Evidence from Grey Matter Volume (GMV) and Brain Entropy (BEN)

This study investigates how neurotransmitters contribute to structural-functional coupling in the brain using gray matter volume and brain entropy metrics from fMRI data.

Altered resting-state brain entropy (BEN) by rTMS across the human cortex

The paper investigates how rTMS affects brain entropy (BEN) in different brain regions, finding that both excitatory and inhibitory rTMS protocols alter BEN in specific areas.

Regional Brain Entropy During Movie-watching

This study examines regional brain entropy during movie-watching, finding it more reliable than resting state and showing distinct patterns in sensory and association cortices.

Brain-wide functional connectome analysis of 40,000 individuals reveals brain networks that show aging effects in older adults

The paper analyzes brain functional connectomes in 40,000 individuals to identify aging-related network changes, finding two motor-related subnetworks with age-related declines in functional connectivity.

Percent amplitude of fluctuation: a simple measure for resting-state fMRI signal at single voxel level

The paper introduces PerAF, a new standardized metric for RS-fMRI that improves reliability and provides clearer insights into resting-state brain activity compared to existing methods like ALFF and fALFF.