Zuo Zhang

Generating Synthetic Task-based Brain Fingerprints for Population Neuroscience Using Deep Learning

The paper introduces DeepTaskGen, a deep learning method that generates synthetic task-based contrast maps from resting-state fMRI data, outperforming benchmarks and enabling biomarker development for cognitive tasks.

Brain Diffusion Transformer for Personalized Neuroscience and Psychiatry

The paper introduces Brain-DiT, a deep generative model for analyzing task-fMRI data, identifying cognitive regions and subgroups linked to psychiatric conditions like depression and alcohol abuse.

Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains

This study uses federated analysis in COINSTAC to examine functional network connectivity in adolescent brains linked to smoking and alcohol consumption, finding hypoconnectivity and reduced synchronization.

Neural correlates of hand-object congruency effects during action planning

The paper investigates how hand-object orientation congruency affects neural activity during action planning using fMRI, finding increased premotor cortex activity for incongruent orientations.

Decentralized multi-site VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking: A COINSTAC analysis

This paper uses COINSTAC to perform decentralized VBM analysis on multi-site neuroimaging data to identify age, BMI, and smoking-related structural brain changes.